AU2001245921A1 - Method and apparatus for measuring and reporting channel state information in a high efficiency, high performance communications system - Google Patents

Method and apparatus for measuring and reporting channel state information in a high efficiency, high performance communications system

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AU2001245921A1
AU2001245921A1 AU2001245921A AU2001245921A AU2001245921A1 AU 2001245921 A1 AU2001245921 A1 AU 2001245921A1 AU 2001245921 A AU2001245921 A AU 2001245921A AU 2001245921 A AU2001245921 A AU 2001245921A AU 2001245921 A1 AU2001245921 A1 AU 2001245921A1
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sub
channel
data
channels
pilot signals
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AU2001245921B2 (en
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Ahmad Jalali
Mark Wallace
Jay R. Walton
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Qualcomm Inc
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Qualcomm Inc
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Priority claimed from US09/539,224 external-priority patent/US6473467B1/en
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Priority to AU2006201688A priority patent/AU2006201688B2/en
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Description

METHOD AND APPARATUS FOR MEASURING AND REPORTING CHANNEL STATE INFORMATION IN A HIGH EFFICIENCY, HIGH PERFORMANCE COMMUNICATIONS
SYSTEM
BACKGROUND OF THE INVENTION
I. Field of the Invention
The present invention relates to the field of communications. More particularly, the present invention relates to the measurement and report of channel state information in a high efficiency, high performance communications system.
II. Description of the Related Art
A modern day wireless communications system is required to operate over channels that experience fading and multipath. One such communications system is a code division multiple access (CDMA) system that conforms to the "TIA/EIA/IS-95 Mobile Station-Base Station Compatibility Standard for Dual-Mode Wideband Spread Spectrum Cellular System," hereinafter referred to as the IS-95 standard. The CDMA system supports voice and data communication between users over a terrestrial link. The use of CDMA techniques in a multiple access communication system is disclosed in U.S. Patent No. 4,901,307, entitled "SPREAD SPECTRUM MULTIPLE ACCESS COMMUNICATION SYSTEM USING SATELLITE OR TERRESTRIAL REPEATERS," and U.S. Patent No. 5,103,459, entitled "SYSTEM AND METHOD FOR GENERATING WAVEFORMS IN A CDMA CELLULAR TELEPHONE SYSTEM," both assigned to the assignee of the present invention and incorporated herein by reference.
An IS-95 system can operate efficiently by estimating channel parameters at a receiver unit, which uses these estimated channel parameters to demodulate a received signal. The IS-95 system makes channel estimation efficient by requiring the transmission of a pilot signal from every base station. This pilot signal is a repeating PN-type sequence known by the receiver unit. Correlation of the received pilot signal with a local replica of the . pilot signal enables the receiver unit to estimate the complex impulse response of the channel and adjust demodulator parameters accordingly. For the IS-95 waveform and system parameters it is not necessary or beneficial to report information on the channel conditions measured by the receiver unit back to the transmitter unit.
Given the ever-growing demand for wireless communication, a higher efficiency, higher performance wireless communications system is desirable. One type of higher performance wireless communications system is a Multiple Input/Multiple Output (MIMO) system that employs multiple transmit antennas to transmit over a propagation channel to multiple receive antennas. As in lower performance systems, the propagation channel in a MIMO system is subject to the deleterious effects of multipath, as well as interference from adjacent antennas. Multipath occurs when a transmitted signal arrives at a receiver unit through multiple propagation paths with differing delays. When signals arrive from multiple propagation paths, components of the signals can combine destructively, which is referred to as "fading." In order to improve the efficiency and decrease the complexity of the MIMO system, information as to the characteristics of the propagation channel can be transmitted back to the transmitter unit in order to precondition the signal before transmission.
Preconditioning the signal can be difficult when the characteristics of the propagation channel change rapidly. The channel response can change with time due to the movement of the receiver unit or changes in the environment surrounding the receiver unit. Given a mobile environment, an optimal performance requires that information regarding channel characteristics, such as fading and interference statistics, be determined and transmitted quickly to the transmitter unit before the channel characteristics change significantly. As delay of the measurement and reporting process increases, the utility of the channel response information decreases. A present need exists for efficient techniques that will provide rapid determination of the channel characteristics.
SUMMARY OF THE INVENTION
The present invention is directed to a method and apparatus for the measuring and reporting of channel state information in a high efficiency, high performance communications system, comprising the steps of: generating a plurality of pilot signals; transmitting the plurality of pilot signals over a propagation channel between a transmitter unit and a plurality of receiver units, wherein the transmitter unit comprises at least one transmit antenna, each of the plurality of receiver units comprises at least one receive antenna, and the propagation channel comprises a plurality of sub-channels between the transmitter unit and the plurality of receiver units; receiving at least one of the plurality of pilot signals at each of the plurality of receiver units; determining a set of transmission characteristics for at least one of the plurality of sub-channels, wherein the step of determining the set of transmission characteristics uses at least one of the plurality of pilot signals received at each of the plurality of receiver units; reporting an information signal from each of the plurality of receiver units to the transmitter unit, wherein the information signal carries the set of transmission characteristics for at least one of the plurality of subchannels; and optimizing a set of transmission parameters at the transmitter unit, based on the information signal. In one aspect of the invention, pilot symbols are transmitted on a plurality of disjoint OFDM sub-channel sets. When the pilot symbols are transmitted on disjoint OFDM sub-channels, the characteristics of the propagation channel can be determined through a set of sub-channels carrying the pilot symbols, wherein K is less than the number of OFDM sub- channels in the system. In addition to transmitting pilot symbols on disjoint sub-channels, the system can transmit a time-domain pilot sequence that can be used to determine characteristics of the propagation channel. Along with the generation and transmission of pilot symbols, an aspect of the invention is the compression of the amount of information necessary to reconstruct the characteristics of the propagation channel.
BRIEF DESCRIPTION OF THE DRAWINGS
The features, nature, and advantages of the present invention will become more apparent from the detailed description set forth below when taken in conjunction with the drawings in which like reference characters identify correspondingly throughout and wherein:
FIG. IA is a diagram of a multiple-input multiple-output (MIMO) communications system;
FIG. IB is a diagram of a OFDM-based MIMO system with feedback of channel state information; FIG. 1C is a diagram of an exemplary OFDM pilot signal structure that can be used to estimate the channel state information;
FIG. 2 is a diagram that graphically illustrates a specific example of a transmission from a transmit antenna at a transmitter unit;
FIG. 3 is a block diagram of a data processor and a modulator of the communications system shown in FIG. IA;
FIGS. 4A and 4B are block diagrams of two versions of a channel data processor that can be used for processing one channel data steam such as control, broadcast, voice, or traffic data;
FIGS. 5 A through 5C axe block diagrams of the processing units that can be used to generate the transmit signal shown in FIG. 2;
FIG. 6 is a block diagram of a receiver unit, having multiple receive antennas, which can be used to receive one or more channel data streams; and
FIG. 7 shows plots that illustrate the spectral efficiency achievable with some of the operating modes of a communications system in accordance with one embodiment. DETAILED DESCRIPTION OF THE SPECIFIC EMBODIMENTS
FIG. IA is a diagram of a Multiple Input/Multiple Output (MIMO) communications system 100 capable of implementing some embodiments of the invention. Communications system 100 can be operative to provide a combination of antenna, frequency, and temporal diversity to increase spectral efficiency, improve performance, and enhance flexibility. Increased spectral efficiency is characterized by the ability to transmit more bits per second per Hertz (bps/Hz) when and where possible to better utilize the available system bandwidth. Techniques to obtain higher spectral efficiency are described in further detail below. Improved performance may be quantified, for example, by a lower bit-error-rate (BER) or frame-error-rate (FER) for a given link carrier-to-noise-plus-interference ratio (C/I). And enhanced flexibility is characterized by the ability to accommodate multiple users having different and typically disparate requirements. These goals may be achieved, in part, by employing multi-carrier modulation, time division multiplexing (TDM), multiple transmit and/or receive antennas, and other techniques. The features, aspects, and advantages of the invention are described in further detail below. As shown in FIG. IA, communications system 100 includes a first system 110 in communication with a second system 120. System 110 includes a (transmit) data processor 112 that (1) receives or generates data, (2) processes the data to provide antenna, frequency, or temporal diversity, or a combination thereof, and (3) provides processed modulation symbols to a number of modulators (MOD) 114a through 114t. Each modulator 114 further processes the modulation symbols and generates an RF modulated signal suitable for transmission. The RF modulated signals from modulators 114a through 114t are then transmitted from respective antennas 116a through 116t over communications links 118 to system 120. In FIG. IA, system 120 includes a number of receive antennas 122a through 122r that receive the transmitted signals and provide the received signals to respective demodulators (DEMOD) 124a through 124r. As shown in FIG. IA, each receive antenna 122 may receive signals from one or more transmit antennas 116 depending on a number of factors such as, for example, the operating mode used at system 110, the directivity of the transmit and receive antennas, the characteristics of the communications links, and others. Each demodulator 124 demodulates the respective received signal using a demodulation scheme that is complementary to the modulation scheme used at the transmitter. The demodulated symbols from demodulators 124a through 124r are then provided to a (receive) data processor 126 that further processes the symbols to provide the output data. The data processing at the transmitter and receiver units is described in further detail below.
FIG. IA shows only the forward link transmission from system 110 to system 120. This configuration may be used for data broadcast and other one-way data transmission applications. In a bi-directional communications system, a reverse link from system 120 to system 110 is also provided, although not shown in FIG. IA for simplicity. For the bi-directional communications system, each of systems 110 and 120 may operate as a transmitter unit or a receiver unit, or both concurrently, depending on whether data is being transmitted from, or received at, the unit.
For simplicity, communications system 100 is shown to include one transmitter unit (i.e., system 110) and one receiver unit (i.e., system 120). However, in general, multiple transmit antennas and multiple receive antennas are present on each transmitter unit and each receiver unit. The communications system of the invention may include any number of transmitter units and receiver units. Each transmitter unit may include a single transmit antenna or a number of transmit antennas, such as that shown in FIG. IA. Similarly, each receiver unit may include a single receive antenna or a number of receive antennas, again such as that shown in FIG. IA. For example, the communications system may include a central system (i.e., similar to a base station in the IS-95 CDMA system) having a number of antennas that transmit data to, and receive data from, a number of remote systems (i.e., subscriber units, similar to remote stations in the CDMA system), some of which may include one antenna and others of which may include multiple antennas.
As used herein, an antenna refers to a collection of one or more antenna elements that are distributed in space. The antenna elements may be physically located at a single site or distributed over multiple sites. Antenna elements physically co-located at a single site may be operated as an antenna array (e.g., such as for a CDMA base station). An antenna network consists of a collection of antenna arrays or elements that are physically separated (e.g., several CDMA base stations). An antenna array or an antenna network may be designed with the ability to form beams and to transmit multiple beams from the antenna array or network. For example, a CDMA base station may be designed with the capability to transmit up to three beams to three different sections of a coverage area (or sectors) from the same antenna array. Thus, the three beams may be viewed as three transmissions from three antennas.
The communications system of the invention can be designed to provide a multi-user, multiple access communications scheme capable of supporting subscriber units having different requirements as well as capabilities. The scheme allows the system's total operating bandwidth, W, (e.g., 1.2288 MHz) to be efficiently shared among different types of services that may have highly disparate data rate, delay, and quality of service (QOS) requirements.
Examples of such disparate types of services include voice services and data services. Voice services are typically characterized by a low data rate (e.g., 8 kbps to 32 kbps), short processing delay (e.g., 3 msec to 100 msec overall one-way delay), and sustained use of a communications channel for an extended period of time. The short delay requirements imposed by voice services typically require a small fraction of the system resources to be dedicated to each voice call for the duration of the call. In contrast, data services are characterized by "bursty" traffics in which variable amounts of data are sent at sporadic times. The amount of data can vary significantly from burst-to-burst and from user-to-user. For high efficiency, the communications system of the invention can be designed with the capability to allocate a portion of the available resources to voice services as required and the remaining resources to data services. A fraction .of the available system resources may also be dedicated for certain data services or certain types of data services.
The distribution of data rates achievable by each subscriber unit can vary widely between some minimum and maximum instantaneous values (e.g., from 200 kbps to over 20 Mbps). The achievable data rate for a particular subscriber unit at any given moment may be influenced by a number of factors such as the amount of available transmit power, the quality of the communications link (i.e., the C/I), the coding scheme, and others. The data rate requirement of each subscriber unit may also vary widely between a minimum value (e.g., 8 kbps, for a voice call) all the way up to the maximum supported instantaneous peak rate (e.g., 20 Mbps for bursty data services).
The percentage of voice and data traffic is typically a random variable that changes over time. In accordance with certain aspects of the invention, to efficiently support both types of services concurrently, the communications system of the invention is designed with the capability to dynamic allocate the available resources based on the amount of voice and data traffic. A scheme to dynamically allocate resources is described below. Another scheme to allocate resources is described in the aforementioned U.S. Patent Application Serial No. 08/963,386.
The communications system of the invention provides the above- described features and advantages, and is capable of supporting different types of services having disparate requirements. The features are achieved by employing antenna, frequency, or temporal diversity, or a combination thereof. Antenna, frequency, or temporal diversity can be independently achieved and dynamically selected. As used herein, antenna diversity refers to the transmission and/or reception of data over more than one antenna, frequency diversity refers to the transmission of data over more than one sub-band, and temporal diversity refers to the transmission of data over more than one time period. Antenna, frequency, and temporal diversity may include subcategories. For example, transmit diversity refers to the use of more than one transmit antenna in a manner to improve the reliability of the communications link, receive diversity refers to the use of more than one receive antenna in a manner to improve the reliability of the communications link, and spatial diversity refers to the use of multiple transmit and receive antennas to improve the reliability and/or increase the capacity of the communications link. Transmit and receive diversity can also be used in combination to improve the reliability of the communications link without increasing the link capacity. Various combinations of antenna, frequency, and temporal diversity can thus be achieved and are within the scope of the present invention.
Frequency diversity can be provided by use of a multi-carrier modulation scheme such as orthogonal frequency division multiplexing (OFDM), which allows for transmission of data over various sub-bands of the operating bandwidth. Temporal diversity is achieved by transmitting the data over different times, which can be more easily accomplished with the use of time-division multiplexing (TDM). These various aspects of the communications system of the invention are described in further detail below.
In accordance with an aspect of the invention, antenna diversity is achieved by employing a number of (Nτ) transmit antennas at the transmitter unit or a number of (NR) receive antennas at the receiver unit, or multiple antennas at both the transmitter and receiver units. In a terrestrial communications system (e.g., a cellular system, a broadcast system, an MMDS system, and others), an RF modulated signal from a transmitter unit may reach the receiver unit via a number of transmission paths. The characteristics of the transmission paths typically vary over time based on a number of factors. If more than one transmit or receive antenna is used, and if the transmission paths between the transmit and receive antennas are independent (i.e., uncorrelated), which is generally true to at least an extent, then the likelihood of correctly receiving the transmitted signal increases as the number of antennas increases. Generally, as the number of transmit and receive antennas increases, diversity increases and performance improves. Antenna, diversity is dynamically provided based on the characteristics of the communications link to provide the required performance. For example, a higher degree of antenna diversity can be provided for some types of communication (e.g., signaling), for some types of services (e.g., voice), for some communications link characteristics (e.g., low C/I), or for some other conditions or considerations.
As used herein, antenna diversity includes transmit diversity and receive diversity. For transmit diversity, data is transmitted over multiple transmit antennas. Typically, additional processing is performed on the data transmitted from the transmit antennas to achieve the desired diversity. For example, the data transmitted from different transmit antennas may be delayed or reordered in time, or coded and interleaved across the available transmit antennas. Also, frequency and temporal diversity may be used in conjunction with the different transmit antennas. For receive diversity, modulated signals are received on multiple receive antennas, and diversity is achieved by simply receiving the signals via different transmission paths.
In accordance with another aspect of the invention, frequency diversity can be achieved by employing a multi-carrier modulation scheme.
One such scheme that has numerous advantages is OFDM. With OFDM modulation, the overall transmission channel is essentially divided into a number of (L) parallel sub-channels that are used to transmit the same or different data. The overall transmission channel occupies the total operating bandwidth of W, and each of the sub-channels occupies a sub- band having a bandwidth of W/L and centered at a different center frequency. Each sub-channel has a bandwidth that is a portion of the total operating bandwidth. Each of the sub-channels may also be considered an independent data transmission channel that may be associated with a particular (and possibly unique) processing, coding, and modulation scheme, as described below.
The data may be partitioned and transmitted over any defined set of two or more sub-bands to provide frequency diversity. For example, the transmission to a particular subscriber unit may occur over sub-channel 1 at time slot 1, sub-channel 5 at time slot 2, sub-channel 2 at time slot 3, and so on. As another example, data for a particular subscriber unit may be transmitted over sub-channels 1 and 2 at time slot 1 (e.g., with the same data being transmitted on both sub-channels), sub-channels 4 and 6 at time slot 2, only sub-channel 2 at time slot 3, and so on. Transmission of data over different sub-channels over time can improve the performance of a communications system experiencing frequency selective fading and channel distortion. Other benefits of OFDM modulation are described below. In accordance with yet another aspect of the invention, temporal diversity is achieved by transmitting data at different times, which can be more easily accomplished using time division multiplexing (TDM). For data services (and possibly for voice services), data transmission occurs over time slots that may be selected to provide immunity to time dependent degradation in the communications link. Temporal diversity may also be achieved through the use of interleaving.
For example, the transmission to a particular subscriber unit may occur over time slots 1 through x, or on a subset of the possible time slots from 1 through x (e.g., time slots 1, 5, 8, and so on). The amount of data transmitted at each time slot may be variable or fixed. Transmission over multiple time slots improves the likelihood of correct data reception due to, for example, impulse noise and interference.
The combination of antenna, frequency, and temporal diversity allows the communications system of the invention to provide robust performance. Antenna, frequency, and/or temporal diversity improves the likelihood of correct reception of at least some of the transmitted data, which may then be used (e.g., through decoding) to correct for some errors that may have occurred in the other transmissions. The combination of antenna, frequency, and temporal diversity also allows the communications system to concurrently accommodate different types of services having disparate data rate, processing delay, and quality of service requirements. The communications system of the invention can be designed and operated in a number of different communications modes, with each communications mode employing antenna, frequency, or temporal diversity, or a combination thereof. The communications modes include, for example, a diversity communications mode and a MIMO communications mode. Various combinations of the diversity and MIMO communications modes can also be supported by the communications system. Also, other communications modes can be implemented and are within the scope of the present invention.
The diversity communications mode employs transmit and /or receive diversity, frequency, or temporal diversity, or a combination thereof, and is generally used to improve the reliability of the communications link. In one implementation of the diversity communications mode, the transmitter unit selects a modulation and coding scheme (i.e., configuration) from a finite set of possible configurations, which are known to the receiver units. For example, each overhead and common channel may be associated with a particular configuration that is known to all receiver units. When using the diversity communications mode for a specific user (e.g., for a voice call or a data transmission), the mode and/or configuration may be known a priori (e.g., from a previous set up) or negotiated (e.g., via a common channel) by the receiver unit.
In the diversity communications mode, data is transmitted on one or more sub-channels, from one or more antennas, and at one or more time periods. The allocated sub-channels may be associated with the same antenna, or may be sub-channels associated with different antennas. In a common application of the diversity communications mode, which is also referred to as a "pure" diversity communications mode, data is transmitted from all available transmit antennas to the destination receiver unit. The pure diversity communications mode can be used in instances where the data rate requirements are low or when the C/I is low, or when both are true.
The MIMO communications mode employs antenna diversity at both ends of the communication link and is generally used to improve both the reliability and increase the capacity of the communications link. The MIMO communications mode may further employ frequency and/or temporal diversity in combination with the antenna diversity. The MIMO communications mode, which may also be referred to herein as the spatial communications mode, employs one or more processing modes to be described below.
The diversity communications mode generally has lower spectral efficiency than the MIMO communications mode, especially at high C/I levels. However, at low to moderate C/I values, the diversity communications mode achieves comparable efficiency and can be simpler to implement. In general, the use of the MIMO communications mode provides greater spectral efficiency when used, particularly at moderate to high C/I values. The MIMO communications mode may thus be advantageously used when the data rate requirements are moderate to high. The communications system can be designed to concurrently support both diversity and MIMO communications modes. The communications modes can be applied in various manners and, for increased flexibility, may be applied independently on a sub-channel basis. The MIMO communications mode is typically applied to specific users. However, each communications mode may be applied on each sub-channel independently, across a subset of sub-channels, across all sub-channels, or on some other basis. For example, the use of the MIMO communications mode may be applied to a specific user (e.g., a data user) and, concurrently, the use of the diversity communications mode may be applied to another specific user (e.g., a voice user) on a different sub-channel. The diversity communications mode may also be applied, for example, on sub-channels experiencing higher path loss. The communications system of the invention can also be designed to support a number of processing modes. When the transmitter unit is provided with information indicative of the conditions (i.e., the "state") of the communications links, additional processing can be performed at the transmitter unit to further improve performance and increase efficiency. Full channel state information (CSI) or partial CSI may be available to the transmitter unit. Full CSI includes sufficient characterization of the propagation path (i.e., amplitude and phase) between all pairs of transmit and receive antennas for each sub-band. Full CSI also includes the C/I per sub-band. The full CSI may be embodied in a set of matrices of complex gain values that are descriptive of the conditions of the transmission paths from the transmit antennas to the receive antennas, as described below. Partial CSI may include, for example, the C/I of the sub-band . With full CSI or partial CSI, the transmitter unit pre-conditions the data prior to transmission to receiver unit.
The transmitter unit can precondition the signals presented to the transmit antennas in a way that is unique to a specific receiver unit (e.g., the pre-conditioning is performed for each sub-band assigned to that receiver unit). As long as the channel does not change appreciably from the time it is measured by the receiver unit and subsequently sent back to the transmitter and used to precondition the transmission, the intended receiver unit can demodulate the transmission. In this implementation, a full-CSI based
MIMO communication can only be demodulated by the receiver unit associated with the CSI used to precondition the transmitted signals. In the partial-CSI or no-CSI processing modes, the transmitter unit can employ a common modulation and coding scheme (e.g., on each data channel transmission), which then can be (in theory) demodulated by all receiver units. In the partial-CSI processing mode, a single receiver unit can specify the C/I, and the modulation employed on all antennas can be selected accordingly (e.g., for reliable transmission) for that receiver unit. Other receiver units can attempt to demodulate the transmission and, if they have adequate C/I, may be able to successfully recover the transmission. A common (e.g., broadcast) channel can use a no-CSI processing mode to reach all users. As an example, assume that the MIMO communications mode is applied to a channel data stream that is transmitted on one particular sub- channel from four transmit antennas. The channel data stream is demultiplexed into four data sub-streams, one data sub-stream for each transmit antenna. Each data sub-stream is then modulated using a particular modulation scheme (e.g., M-PSK, M-QAM, or other) selected based on the CSI for that sub-band and for that transmit antenna. Four modulation sub-streams are thus generated for the four data sub-streams, with each modulation sub-streams including a stream of modulation symbols. The four modulation sub-streams are then pre-conditioned using the eigenvector matrix, as expressed below in equation (1), to generate pre- conditioned modulation symbols. The four streams of pre-conditioned modulation symbols are respectively provided to the four combiners of the four transmit antennas. Each combiner combines the received preconditioned modulation symbols with the modulation symbols for the other sub-channels to generate a modulation symbol vector stream for the associated transmit antenna.
The full-CSI based processing is typically employed in the MIMO communications mode where parallel data streams are transmitted to a specific user on each of the channel eigenmodes for the each of the allocated sub-channels. Similar processing based on full CSI can be performed where transmission on only a subset of the available eigenmodes is accommodated in each of the allocated sub-channels(e.g., to implement beam steering). Because of the cost associated with the full-CSI processing (e.g., increased complexity at the transmitter and receiver units, increased overhead for the transmission of the CSI from the receiver unit to the transmitter unit, and so on), full-CSI processing can be applied in certain instances in the MIMO communications mode where the additional increase in performance and efficiency is justified.
In instances where full CSI is not available, less descriptive information on the transmission path (or partial CSI) may be available and can be used to pre-condition the data prior to transmission. For example, the C/I of each of the sub-channels may be available. The C/I information can then be used to control the transmission from various transmit antennas to provide the required performance in the sub-channels of interest and increase system capacity.
As used herein, full-CSI based processing modes denote processing modes that use full CSI, and partial-CSI based processing modes denote processing modes that use partial CSI. The full-CSI based processing modes include, for example, the full-CSI MIMO mode that utilizes full-CSI based processing in the MIMO communications mode. The partial-CSI based modes include, for example, the partial-CSI MIMO mode that utilizes partial-CSI based processing in the MIMO communications mode. In instances where full-CSI or partial-CSI processing is employed to allow the transmitter unit to pre-condition the data using the available channel state information (e.g., the eigenmodes or C/I), feedback information from the receiver unit is required, which uses a portion of the reverse link capacity. Therefore, there is a cost associated with the full-CSI and the partial-CSI based processing modes. The cost should be factored into the choice of which processing mode to employ. The partial-CSI based processing mode requires less overhead and may be more efficient in some instances. The no-CSI based processing mode requires no overhead and may also be more efficient than the full-CSI based processing mode or the partial-CSI based processing mode under some other circumstances.
FIG. 2 is a diagram that graphically illustrates at least some of the aspects of the communications system of the invention. FIG. 2 shows a specific example of a transmission from one of Nτ transmit antennas at a transmitter unit. In FIG. 2, the horizontal axis is time and the vertical axis is frequency. In this example, the transmission channel includes 16 subchannels and is used to transmit a sequence of OFDM symbols, with each OFDM symbol covering all 16 sub-channels (one OFDM symbol is indicated at the top of FIG. 2 and includes all 16 sub-bands). A TDM structure is also illustrated in which the data transmission is partitioned into time slots, with each time slot having the duration of, for example, the length of one modulation symbol (i.e., each modulation symbol is used as the TDM interval). The available sub-channels can be used to transmit signaling, voice, traffic data, and others. In the example shown in FIG. 2, the modulation symbol at time slot 1 corresponds to pilot data, which is periodically transmitted to assist the receiver units to synchronize and perform channel estimation. Other techniques for distributing pilot data over time and frequency can also be used and are within the scope of the present invention. In addition, it may be advantageous to utilize a particular modulation scheme during the pilot interval if all sub-channels are employed (e.g., a PN code with a chip duration of approximately 1/W). Transmission of the pilot modulation symbol typically occurs at a particular frame rate, which is usually selected to be fast enough to permit accurate tracking of variations in the communications link.
The time slots not used for pilot transmissions can then be used to transmit various types of data. For example, sub-channels 1 and 2 may be reserved for the transmission of control and broadcast data to the receiver units. The data on these sub-channels is generally intended to be received by all receiver units. However, some of the messages on the control channel may be user specific, and can be encoded accordingly.
Voice data and traffic data can be transmitted in the remaining sub- channels. For the example shown in FIG. 2, sub-channel 3 at time slots 2 through 9 is used for voice call 1, sub-channel 4 at time slots 2 through 9 is used for voice call 2, sub-channel 5 at time slots 5 through 9 is used for voice call 3, and sub-channel 6 at time slots 7 through 9 is used for voice call 5.
The remaining available sub-channels and time slots may be used for transmissions of traffic data. In the example shown in FIG. 2, data 1 transmission uses sub-channels 5 through 16 at time slot 2 and sub-channels 7 through 16 at time slot 7, data 2 transmission uses sub-channels 5 through 16 at time slots 3 and 4 and sub-channels 6 through 16 at time slots 5, data 3 transmission uses sub-channels 6 through 16 at time slot 6, data 4 transmission uses sub-channels 7 through 16 at time slot 8, data 5 transmission uses sub-channels 7 through 11 at time slot 9, and data 6 transmission uses sub-channels 12 through 16 at time slot 9. Data 1 through 6 transmissions can represent transmissions of traffic data to one or more receiver units.
The communications system of the invention flexibly supports the transmissions of traffic data. As shown in FIG. 2, a particular data transmission (e.g., data 2) may occur over multiple sub-channels and/or multiple time slots, and multiple data transmissions (e.g., data 5 and 6) may occur at one time slot. A data transmission (e.g., data 1) may also occur over non-contiguous time slots. The system can also be designed to support multiple data transmissions on one sub-channel. For example, voice data may be multiplexed with traffic data and transmitted on a single subchannel.
The multiplexing of the data transmissions can potentially change from OFDM symbol to symbol. Moreover, the communications mode may be different from user to user (e.g., from one voice or data transmission to other). For example, the voice users may use the diversity communications mode, and the data users may use the MIMO communications modes. This concept can be extended to the sub-channel level. For example, a data user may use the MIMO communications mode in sub-channels that have sufficient C/I and the diversity communications mode in remaining sub- channels.
Antenna, frequency, and temporal diversity may be respectively achieved by transmitting data from multiple antennas, on multiple subchannels in different sub-bands, and over multiple time slots. For example, antenna diversity for a particular transmission (e.g., voice call 1) may be achieved by transmitting the (voice) data on a particular sub-channel (e.g., sub-channel 1) over two or more antennas. Frequency diversity for a particular transmission (e.g., voice call 1) may be achieved by transmitting the data on two or more sub-channels in different sub-bands (e.g., subchannels 1 and 2). A combination of antenna and frequency diversity may be obtained by transmitting data from two or more antennas and on two or more sub-channels. Temporal diversity may be achieved by transmitting data over multiple time slots. For example, as shown in FIG. 2, data 1 transmission at time slot 7 is a portion (e.g., new or repeated) of the data 1 transmission at time slot 2.
The same or different data may be transmitted from multiple antennas and/or on multiple sub-bands to obtain the desired diversity. For example, the data may be transmitted on: (1) one sub-channel from one antenna, (2) one sub-channel (e.g., sub-channel 1) from multiple antennas, (3) one sub-channel from all Nτ antennas, (4) a set of sub-channels (e.g., subchannels 1 and 2) from one antenna, (5), a set of sub-channels from multiple antennas, (6) a set of sub-channels from all Nτ antennas, or (7) a set of channels from a set of antennas (e.g., sub-channel 1 from antennas 1 and 2 at one time slot, sub-channels 1 and 2 from antenna 2 at another time slot, and so on). Thus, any combination of sub-channels and antennas may be used to provide antenna and frequency diversity.
In accordance with certain embodiments of the invention that provide the most flexibility and are capable of achieving high performance and efficiency, each sub-channel at each time slot for each transmit antenna may be viewed as an independent unit of transmission (i.e., a modulation symbol) that can be used to transmit any type of data such as pilot, signaling, broadcast, voice, traffic data, and others, or a combination thereof (e.g., multiplexed voice and traffic data). In such design, a voice call may be dynamically assigned different sub-channels over time.
Flexibility, performance, and efficiency are further achieved by allowing for independence among the modulation symbols, as described below. For example, each modulation symbol may be generated from a modulation scheme (e.g., M-PSK, M-QAM, and others) that results in the best use of the resource at that particular time, frequency, and space.
A number of constraints may be placed to simplify the design and implementation of the transmitter and receiver units. For example, a voice call may be assigned to a particular sub-channel for the duration of the call, or until such time as a sub-channel reassignment is performed. Also, signaling and /or broadcast data may be designated to some fixed subchannels (e.g., sub-channel 1 for control data and sub-channel 2 for broadcast data, as shown in FIG. 2) so that the receiver units know a priori which subchannels to demodulate to receive the data.
Also, each data transmission channel or sub-channel may be restricted to a particular modulation scheme (e.g., M-PSK, M-QAM) for the duration of the transmission or until such time as a new modulation scheme is assigned. For example, in FIG. 2, voice call 1 on sub-channel 3 may use QPSK, voice call 2 on sub-channel 4 may use 16-QAM, data 1 transmission at time slot 2 may use 8-PSK, data 2 transmission at time slots 3 through 5 may use 16-QAM, and so on. The use of TDM allows for greater flexibility in the transmission of voice data and traffic data, and various assignments of resources can be contemplated. For example, a user can be assigned one sub-channel for each time slot or, equivalently, four sub-channels every fourth time slot, or some other allocations. TDM allows for data to be aggregated and transmitted at designated time slot(s) for improved efficiency.
If voice activity is implemented at the transmitter, then in the intervals where no voice is being transmitted, the transmitter may assign other users to the sub-channel so that the sub-channel efficiency is maximized. In the event that no data is available to transmit during the idle voice periods, the transmitter can decrease (or turn-off) the power transmitted in the sub-channel, reducing the interference levels presented to other users in the system that are using the same sub-channel in another cell in the network. The same feature can be also extended to the overhead, control, data, and other channels. Allocation of a small portion of the available resources over a continuous time period typically results in lower delays, and may be better suited for delay sensitive services such as voice. Transmission using TDM can provide higher efficiency, at the cost of possible additional delays. The communications system of the invention can allocate resources to satisfy user requirements and achieve high efficiency and performance.
Measuring and Reporting Channel State Information In A MIMO System Given the complexity of a system using multiple transmit antennas and multiple receive antennas, with the associated dispersive channel effects, the preferred modulation technique is OFDM, which effectively decomposes the channel into a set of non-interfering narrowband channels, or sub-channels. With proper OFDM signal design, a signal transmitted on one subchannel sees "flat fading", i.e., the channel response is effectively constant over the subchannel bandwidth. The channel state information or CSI includes sufficient characterization of the propagation path (i.e., amplitude and phase) between all pairs of transmit and receive antennas for each sub-channel. CSI also includes the information of the relative levels of interference and noise in each sub-channel, that is known as C/I information. The CSI may be embodied in a set of matrices of complex gain values that are descriptive of the conditions of the transmission paths from the transmit antennas to the receive antennas, as described below. With CSI, the transmitter unit pre-conditions the data prior to transmission to receiver unit.
CSI processing is briefly described below. When the CSI is available at the transmitter unit, a simple approach is to decompose the multi- input/multi-output channel into a set of independent channels. Given the channel transfer function at the transmitters, the left eigenvectors may be used to transmit different data streams. The modulation alphabet used with each eigenvector is determined by the available C/I of that mode, given by the eigenvalues. If H is the NR x Nτ matrix that gives the channel response for the Nτ transmitter antenna elements and NR receiver antenna elements at a specific time, and x is the Nτ-vector of inputs to the channel, then the received signal can be expressed as:
y = Hx + n
where n is an NR-vector representing noise plus interference. The eigenvector decomposition of the Hermitian matrix formed by the product of the channel matrix with its conjugate-transpose can be expressed as: H H = EEE*
where the symbol * denotes conjugate-transpose, E is the eigenvector matrix, and Ε is a diagonal matrix of eigenvalues, both of dimension NTxNT.The transmitter converts a set of Nτ modulation symbols b using the eigenvector matrix E. The transmitted modulation symbols from the Nτ transmit antennas can thus be expressed as:
x = Eb .
For all antennas, the pre-conditioning can thus be achieved by a matrix multiply operation expressed as:
'11 ' '12 » *\Nτ
^21 » '22 ' -2Nτ υ2
M Εq (2)
-Nτ1 > 'JVrl ' -NτNτ 'Nτ
where bv b2, ... and bj^ are respectively the modulation symbols for a particular sub-channel at transmit antennas 1, 2, ... Nτ, where each modulation symbol can be generated using, for example,
M-PSK, M-QAM, and so on, as described below;
E = is the eigenvector matrix related to the transmission loss from transmit antennas to the receive antennas; and xl7 x2, ... xNT are the pre-conditioned modulation symbols, which can be expressed as:
*ι = b\ •en +b2 • en + ... +b *e
x2 = b, »e21 +b2 » e22 + ... +b •e2Nγ ^ and XNT = bι • eχ + * eNT2 + - + b *eNτNτ .
Since H*H is Hermitian, the eigenvector matrix is unitary. Thus, if the elements of b have equal power, the elements of x also have equal power. The received signal may then be expressed as:
y =HEb + n_ .
The receiver performs a channel-matched-filter operation, followed by multiplication by the right eigenvectors. The result of the channel- matched-filter operation is the vector z, which can be expressed as:
z_= E*H*HEb_+ E*H*n_= Ε b + n_ f Εq.(2)
where the new noise term has covariance that can be expressed as:
E(ήή*) = E(E*H*nn*HE) = E H HE = Λ
i.e., the noise components are independent with variance given by the eigenvalues. The C/I of the i-th component of z is ^ , the i-th diagonal element of ^ .
The transmitter unit can thus select a modulation alphabet (i.e., signal constellation) for each of the eigenvectors based on the C/I that is given by the eigenvalue. Provided that the channel conditions do not change appreciably in the interval between the time the CSI is measured at the receiver and reported and used to precondition the transmission at the transmitter, the performance of the communications system will be equivalent to that of a set of independent AWGN channels with known C/I's.
Such a system is illustrated in FIG. IB. At step 141, the transmitter unit 140 converts data into multiple data sub-channels. Different QAM constellations are employed, depending upon the SNR of the mode and subchannel. The data for each sub-channel is preconditioned by the eigenmode matrix for that sub-channel. At step 142, the preconditioned data for a particular antenna undergoes an inverse-Fast Fourier Transform (IFFT) operation to produce a time-domain signal. At step 143, a cyclic extension or a cyclic prefix is appended to the time-domain signal in order to maintain orthogonality among the OFDM sub-channels in the presence of time- dispersion in the propagation channel. One extended symbol value is generated for each OFDM sub-channel and will be referred to hereafter as an OFDM symbol. At step 144, the OFDM symbols are transmitted from the multiple transmit antennas. Multiple antennas at a receiver unit 145 receive signals at step 146. At step 147, the received signals undergo a Discrete Fourier Transform (DFT) operation to channelize the received signals. At step 148, the data from each subchannel over all of the receive antennas is processed. At this processing step, information regarding channel characteristics is extracted from the data, and converted into a more compressed format. One compression technique is the use of the conjugate channel response and the eigenmode matrix to reduce the amount of information needed to describe channel characteristics. At step 149, a message containing the compressed channel state information is transmitted from the receiver unit 145 to the transmitter unit 140, which will then be used to precondition further transmissions.
To facilitate the derivation of the CSI, the transmit waveform is made up of known pilot symbols for an initial preamble. The pilot waveforms for different transmit antennas comprise disjoint sets of OFDM subchannels as illustrated for the case when Nt= 4 in FIG. 1C.
With OFDM modulation, the propagation channel is divided into L parallel sub-channels. In order to determine the CSI quickly, an initial preamble consisting entirely of known symbols is transmitted. In order to efficiently distinguish the differing channel responses of the different transmit-receive antenna patterns, the pilot signals are assigned disjoint subsets of sub-channels. FIG. 1C is a diagram of an exemplary OFDM pilot structure composed of disjoint sub-channel subsets. A sub-channel set composed of sub-channels {0, 1, 2, . . ., 2n-l} is decomposed into four disjoint sub-channel subsets A = {0, 4, 8, . . ., 2n-4}, B = {1, 5, 9, . . . , 2n-3}, C = {2, 6, 10, . . ., 2n-2} and D = {3, 7, 11, . . ., 2n-l}. Sub-channel subset A 150 is transmitted on transmit antenna Txl 151, sub-channel subset B 152 is transmitted on transmit antenna Tx2 153, sub-channel subset C 154 is transmitted on transmit antenna Tx3 155, and sub-channel subset D 156 is transmitted on transmit antenna Tx4 157. Generally, each transmit antenna transmits on every 01 sub-channel across the channel so that all sub-channels are disjoint between transmit antennas. Known pilot symbols can be transmitted on all sub-channels in a sub-channel subset. The minimum spacing between the sub-channels used by a particular transmit antenna is a function of the channel parameters. If the channel response has a large delay spread, then a close spacing may be necessary. If the number of antennas is large enough that the required spacing may not be achieved for all users with a single OFDM symbol, then a number of consecutive OFDM symbols may be employed, with each antenna assigned a disjoint subset of sub-channels on one or more of the multiple pilot symbols.
From each transmit antenna at a transmitter unit, the receiver unit receives pilot symbols on disjoint sub-channels and makes determinations as to channel characteristics of the disjoint sub-channels. As discussed previously, the receiver unit may have one or more receive antennas. Suppose x = {xj, i =1, . . ., K} are the pilot symbol values that are to be transmitted on K pilot sub-channels for a single transmit antenna. The receiver unit will receive the values v- = h^-Xj + n^, wherein h^ is the complex channel response for the ift pilot sub-channel received at the jth receive antenna, and n{j is noise. From this relationship, the receiver unit can determine noisy estimates of the channel response of K sub-channels of a single transmit antenna. These noisy estimates may be used to derive estimates for all sub-channels of the propagation channel through a number of different methods, such as simple interpolation to more complex estimation using a priori information on the channel dispersion and noise level. The estimates may be improved by transmitting pilot symbols over consecutive OFDM symbols and then averaging the estimates for each consecutive OFDM symbol.
Estimates are generated at each receive antenna for each transmit antenna broadcasting pilot symbols. The CSI for the complete propagation channel can be represented by the set of channel response matrices {H;, i = 1,
2, . . . , 2n}, where matrix is associated with the ift sub-channel, and the elements of each matrix Hj are {htjk iJ = —>Nr,k = l,...,Nt} / the complex channel response values for each of the ^ transmit and Nr receive antennas. The use of disjoint sub-channel subsets can further be applied in a system wherein multiple links, e.g., a propagation channel from a transmitter unit to one or more receiver units, are located in close proximity. In a system where a base station transmits signals according to sectors, the transmission area of a sector can overlap the transmission area of another sector. In an ideal base station, transmit antennas in each sector transmit signals in a direction that is completely disjoint from the directions assigned to the transmit antennas of the other sectors. Unfortunately, overlapping areas exist in most sectored base stations. Using this embodiment of the invention, all transmit antennas of a base station are assigned disjoint subsets of sub-channels to avoid interference between the sectors of that base station. Similarly, neighboring base stations may also be the cause of significant interference, and disjoint sets of sub-channels may be assigned among base stations.
In general, the computation of the channel response can be made for every link that is assigned a disjoint sub-channel subset, in the same manner as the response is computed for the principle link. However, a reduced amount of CSI from these interfering links may be reported to the transmitter unit. For example, information as to the average total interference level of neighboring links can be transmitted and used to determine the supportable data rate of the principle link. If several interfering links dominate the average total interference level, then the interference information of these links may be reported individually to the system in order to determine a more efficient grouping of sub-channels in each disjoint sub-channel subset.
Other CSI information that can be conveyed to the transmitter unit is the total measured power in sub-channels not assigned to the principal link. The total measured power of sub-channels assigned to neighboring links gives an estimate of the total interference plus noise power. If several OFDM symbols are used as the pilot symbol, then the mean measured channel response and the actual received signal values may be used to make a direct estimate of the total noise in a given sub-channel. In general, the assignment of sub-channels for a network of base stations should follow a pattern of "frequency-reuse," wherein the same sub-channels are used only when the links are sufficiently separated by distance. If a large number of links are interfering with each other, then the number of OFDM sub-channels may be inadequate to allow the assignment of sub-channels for every pilot OFDM symbol. In this circumstance, transmit antennas may be assigned sub-channels for every P-th pilot symbol, where P is an integer value greater than one (1).
In another embodiment of the invention, the OFDM scheme is designed to create OFDM symbol values that minimize or eliminate interference between transmit antennas that use either identical subchannels or disjoint sub-channels. An orthogonal code, such as Walsh coding, can be used to transform Q pilot signals into Q orthogonal signals representative of the pilot signals. In the case where a Walsh code is used, the number of pilot signals would be a power of two. The use of orthogonal codes can be used together with the previously discussed disjoint subchannel subsets in order to reduce interference from neighboring links. For example, in a 4x4 MIMO system with a system bandwidth of approximately 1MHz, assume that 256 OFDM sub-channels are to be used. If the multipath is limited to ten microseconds, the disjoint sub-channels carrying pilot symbols should be spaced approximately 50kHz apart or closer. Each subchannel is approximately 4kHz wide so that a spacing of twelve subchannels is 48kHz wide. If the OFDM sub-channels are divided into twelve sets of twenty sub-channels each, sixteen are left unused. Two consecutive OFDM symbols are used as a pilot signal, and orthogonal coding on these two symbols is employed. Hence, there are twenty-four different orthogonal pilot assignments. These twenty-four orthogonal pilots are assigned to different transmit antennas and links to minimize interference.
In another embodiment of the invention, a large number of periodic OFDM symbols can be used as pilot data. The number of OFDM symbols must be large enough so that accurate measurements of interference levels from a large number of different transmit antennas can be made. These average interference levels would be used to set up system-wide constraints on simultaneous transmissions from various sites, i.e., an adaptive blanking scheme to allow all users nearly equivalent performance.
In an alternate embodiment of the invention, the CSI of a MIMO propagation channel can be determined and transmitted for a MIMO system that does not utilize OFDM symbols as pilot signals. Instead, a Maximal- Length Shift Register sequence (m-sequence) can be used to sound the propagation channel. An m-sequence is the output of a shift register with feedback. M-sequences have desirable autocorrelation properties, including the property that correlation over a full period of the sequence with any non-zero circular shift of the sequence yields the value -1, wherein the sequence values are +/-1. Hence, the correlation at zero shift is R, wherein R is the length of the sequence. In order to maintain desirable properties such as correlation in the presence of multipath, a portion of the sequence equal to the delay spread of the channel must be repeated. For example, if it is known that the channel multipath is limited to some time τ"> and the length of the pilot sequence is at least Λτ« , then R different shifts of the same m-sequence may be used with only minimal mutual interference. These R different shifts are assigned to different transmit antennas of a base station and other base stations that are the cause of major interference.
Links in the MIMO system that are distantly separated can be assigned different m-sequences. The cross-correlation properties of different m- sequences do not exhibit the minimal correlation properties of a single sequence and its shifts, but different m-sequences behave more or less like random sequences and provide an average correlation level of < l where R is the sequence length. This average correlation level is generally adequate for use in a MIMO system, because of the separation between the links.
A shift register with feedback generates all possible m-sequences, so that sequences are merely shifted versions of a single code word of length R = 2m-l, where m is a positive integer value. Hence, a limited number of different binary m-sequences exist. In order to avoid reuse of the same m- sequence in an area where significant interference may result, filtered versions of longer m-sequences can be used. A filtered version of an m- sequence is no longer binary, but will still display the same basic correlation properties.
For example, suppose that the pilot sequence is to be transmitted at a 1MHz rate, and that the multipath is limited to ten microseconds. Assume that a base station has three sectors, wherein four transmit antennas are assigned to each sector for a total of twelve transmit antennas per site. If a length 127 m-sequence is employed, then twelve different shifts of the sequence may be assigned to the antennas of a single base station, with relative shifts of ten samples each. The total length of the transmitted pilot is then 137 microseconds, which is a full period of the sequence plus ten additional samples to accommodate the multipath spread. Then different base stations can be assigned different m-sequences, with m-sequences repeated in a code reuse pattern designed to minimize the effects of interference from the same m-sequence.
The embodiments of the invention discussed herein have been directed to the design and transmission of pilot signals that will allow a person skilled in the art to derive characteristics of the propagation channel and to report such characteristics to the transmission site. However, the full CSI is a large amount of information and also highly redundant. Many methods are available for compressing the amount of CSI information to be transmitted. One method discussed previously is the use of the Hermatian matrix H*H, wherein H is the channel response as determined at the receiver unit. The Hermation matrix H*H can be reported to the transmitter unit and be used to precondition transmissions. Due to the properties of Hermitian matrices, only half of the matrix elements need to be transmitted, such as the complex lower triangular portion of the matrix H*H, and the real-valued diagonal. Additional efficiencies are realized if the number of receive antennas is larger than the number of transmit antennas. Another method to reduce the amount of information transmitted to the transmitter unit on the reverse link is to report only a subset of the channel response matrices Hi to the transmitter unit, from which the unreported channel response matrices can be determined through interpolation schemes. In another method, a functional representation of the channel response across the sub-channels may be derived for each transmit/receive antenna pair, e.g., a polynomial function representative of the channel response can be generated. The coefficients of the polynomial function are then transmitted to the transmitter unit.
As an alternative to these methods for compressing CSI information, one embodiment of the invention is directed to the transmission of a time- domain representation of the channel response, which is the channel impulse response. If a time-domain representation of the channel response is simple, as in cases where there are only two or three multipath components, an inverse FFT can be performed upon the set of channel frequency responses. The inverse FFT operation can be performed for each link between a transmit/receive antenna pair. The resulting channel impulse responses are then translated into a set of amplitudes and delays that are reported to the transmitter.
As discussed previously, there is a cost associated with the transmission of CSI in the reverse link, which is reduced when the above embodiments of the invention are implemented in the MIMO system. Another method for reducing the cost is to select users according to the short term average of their CSI requirements. The CSI requirements change as the channel fades, so improved efficiency on the reverse link is achieved if users estimate the quantity of CSI required, and inform the base station at intervals that may be periodic or aperiodic, depending on the rate of change of the propagation channel observed by the user. The base station may then include this factor in scheduling the use of the forward and reverse links. Scheduling can be arranged so that users associated with slowly changing propagation channels report less frequently than users associated with quickly changing propagation channels. The base station can also arrange the scheduling to take into account factors such as the number of system users and fairness. In another aspect of this embodiment of the invention, a time interval can be assigned so that CSI updates in a long transmission period can be adjusted according to the actual changes in the propagation channel. Changes in the propagation channel can be monitored at the receiving site in one of a number of possible ways. For example, the difference between the soft decision on the symbols and the closest QAM constellation value can be determined and used as a criterion, or the relative sizes of decoder metrics can also be used. When the quality of a given criterion falls below a predetermined threshold, an update to the CSI is reported to the transmitter unit. The overall multipath power-delay profile of a link changes very slowly because the average power observed at various delays remains constant, even though channel fading may occur frequently. Hence, the amount of CSI required to characterize a link can vary substantially from link to link. To optimize performance, the coding of the CSI is tailored to the specific link requirements. If the CSI is sent in frequency-domain form, i.e., a set of channel response matrices which are to be interpolated, then links with little multipath require only a small set of channel response matrices. Structural Components of a High Efficiency, High Performance Communication System
FIG. 3 is a block diagram of a data processor 112 and modulator 114 of system 110 in FIG. IA. The aggregate input data stream that includes all data to be transmitted by system 110 is provided to a demultiplexer (DEMUX) 310 within data processor 112. Demultiplexer 310 demultiplexes the input data stream into a number of (K) channel data streams, Sj through Sk. Each channel data stream may correspond to, for example, a signaling channel, a broadcast channel, a voice call, or a traffic data transmission. Each channel data stream is provided to a respective encoder 312 that encodes the data using a particular encoding scheme.
The encoding may include error correction coding or error detection coding, or both, used to increase the reliability of the link. More specifically, such encoding may include, for example, interleaving, convolutional coding, Turbo coding, Trellis coding, block coding (e.g., Reed-Solomon coding), cyclic redundancy check (CRC) coding, and others. Turbo encoding is described in further detail in U.S. Patent Application Serial No. 09/205,511, filed December 4, 1998 entitled "Turbo Code Interleaver Using Linear Congruential Sequences" and in a document entitled "The cdma2000 ITU-R RTT Candidate Submission," hereinafter referred to as the IS-2000 standard, both of which are incorporated herein by reference.
The encoding can be performed on a per channel basis, i.e., on each channel data stream, as shown in FIG. 3. However, the encoding may also be performed on the aggregate input data stream, on a number of channel data streams, on a portion of a channel data stream, across a set of antennas, across a set of sub-channels, across a set of sub-channels and antennas, across each sub-channel, on each modulation symbol, or on some other unit of time, space, and frequency. The encoded data from encoders 312a through 312k is then provided to a data processor 320 that processes the data to generate modulation symbols.
In one implementation, data processor 320 assigns each channel data stream to one or more sub-channels, at one or more time slots, and on one or more antennas. For example, for a channel data stream corresponding to a voice call, data processor 320 may assign one sub-channel on one antenna (if transmit diversity is not used) or multiple antennas (if transmit diversity is used) for as many time slots as needed for that call. For a channel data stream corresponding to a signaling or broadcast channel, data processor 320 may assign the designated sub-channel(s) on one or more antennas, again depending on whether transmit diversity is used. Data processor 320 then assigns the remaining available resources for channel data streams corresponding to data transmissions. Because of the bursty nature of data transmissions and the greater tolerance to delays, data processor 320 can assign the available resources such that the system goals of high performance and high efficiency are achieved. The data transmissions are thus "scheduled" to achieve the system goals.
After assigning each channel data stream to its respective time slot(s), sub-channel(s), and antenna(s), the data in the channel data stream is modulated using multi-carrier modulation. OFDM modulation is used to provide numerous advantages. In one implementation of OFDM modulation, the data in each channel data stream is grouped to blocks, with each block having a particular number of data bits. The data bits in each block are then assigned to one or more sub-channels associated with that channel data stream.
The bits in each block are then demultiplexed into separate subchannels, with each of the sub-channels conveying a potentially different number of bits (i.e., based on C/I of the sub-channel and whether MIMO processing is employed). For each of these sub-channels, the bits are grouped into modulation symbols using a particular modulation scheme (e.g., M-PSK or M-QAM) associated with that sub-channel. For example, with 16-QAM, the signal constellation is composed of 16 points in a complex plane (i.e., a + j*b), with each point in the complex plane conveying 4 bits of information. In the MIMO processing mode, each modulation symbol in the sub-channel represents a linear combination of modulation symbols, each of which may be selected from a different constellation. The collection of L modulation symbols form a modulation symbol vector V of dimensionality L. Each element of the modulation symbol vector V is associated with a specific sub-channel having a unique frequency or tone on which the modulation symbols is conveyed. The collection of these L modulation symbols are all orthogonal to one another. At each time slot and for each antenna, the L modulation symbols corresponding to the L sub-channels are combined into an OFDM symbol using an inverse fast Fourier transform (IFFT). Each OFDM symbol includes data from the channel data streams assigned to the L sub-channels. OFDM modulation is described in further detail in a paper entitled
"Multicarrier Modulation for Data Transmission : An Idea Whose Time Has Come," by John A.C. Bingham, IEEE Communications Magazine, May 1990, which is incorporated herein by reference.
Data processor 320 thus receives and processes the encoded data corresponding to K channel data streams to provide Nτ modulation symbol vectors, Vα through VNT, one modulation symbol vector for each transmit antenna. In some implementations, some of the modulation symbol vectors may have duplicate information on specific sub-channels intended for different transmit antennas. The modulation symbol vectors Vt through VNT are provided to modulators 114a through 114t, respectively.
In FIG. 3, each modulator 114 includes an IFFT 330, cycle prefix generator 332, and an upconverter 334. IFFT 330 converts the received modulation symbol vectors into their time-domain representations called OFDM symbols. IFFT 330 can be designed to perform the IFFT on any number of sub-channels (e.g., 8, 16, 32, and so on). Alternatively, for each modulation symbol vector converted to an OFDM symbol, cycle prefix generator 332 repeats a portion of the time-domain representation of the OFDM symbol to form the transmission symbol for the specific antenna. The cyclic prefix insures that the transmission symbol retains its orthogonal properties in the presence of multipath delay spread, thereby improving performance against deleterious path effects, as described below. The implementation of IFFT 330 and cycle prefix generator 332 is known in the art and not described in detail herein.
The time-domain representations from each cycle prefix generator 332
(i.e., the transmission symbols for each antenna) are then processed by upconverter 332, converted into an analog signal, modulated to a RF frequency, and conditioned (e.g., amplified and filtered) to generate an RF modulated signal that is then transmitted from the respective antenna 116.
FIG. 3 also shows a block diagram of a data processor 320. The encoded data for each channel data stream (i.e., the encoded data stream, X) is provided to a respective channel data processor 332. If the channel data stream is to be transmitted over multiple sub-channels and/or multiple antennas (without duplication on at least some of the transmissions), channel data processor 332 demultiplexes the channel data stream into a number of (up to L»NT) data sub-streams. Each data sub-stream corresponds to a transmission on a particular sub-channel at a particular antenna. In typical implementations, the number of data sub-streams is less than L*NT since some of the sub-channels are used for signaling, voice, and other types of data. The data sub-streams are then processed to generate corresponding sub-streams for each of the assigned sub-channels that are then provided to combiners 334. Combiners 334 combine the modulation symbols designated for each antenna into modulation symbol vectors that are then provided as a modulation symbol vector stream. The Nτ modulation symbol vector streams for the Nτ antennas are then provided to the subsequent processing blocks (i.e., modulators 114). In a design that provides the most flexibility, best performance, and highest efficiency, the modulation symbol to be transmitted at each time slot, on each sub-channel, can be individually and independently selected. This feature allows for the best use of the available resource over all three dimensions - time, frequency, and space. The number of data bits transmitted by each modulation symbol may thus differ.
FIG. 4A is a block diagram of a channel data processor 400 that can be used for processing one channel data steam. Channel data processor 400 can be used to implement one channel data processor 332 in FIG. 3. The transmission of a channel data stream may occur on multiple sub-channels (e.g., as for data 1 in FIG. 2) and may also occur from multiple antennas. The transmission on each sub-channel and from each antenna can represent non-duplicated data.
Within channel data processor 400, a demultiplexer 420 receives and demultiplexes the encoded data stream, Xi7 into a number of sub-channel data streams, Xu through XiM, one sub-channel data stream for each subchannel being used to transmit data. The data demultiplexing can be uniform or non-uniform. For example, if some information about the transmission paths is known (i.e., full CSI or partial CSI is known), demultiplexer 420 may direct more data bits to the sub-channels capable of transmitting more bps/Hz. However, if no CSI is known, demultiplexer 420 may uniformly directs approximately equal numbers of bits to each of the allocated sub-channels.
Each sub-channel data stream is then provided to a respective spatial division processor 430. Each spatial division processor 430 may further demultiplex the received sub-channel data stream into a number of (up to Nτ) data sub-streams, one data sub-stream for each antenna used to transmit the data. Thus, after demultiplexer 420 and spatial division processor 430, the encoded data stream Xj may be demultiplexed into up to L»NT data sub- streams to be transmitted on up to L sub-channels from up to Nτ antennas.
At any particular time slot, up to Nτ modulation symbols may be generated by each spatial division processor 430 and provided to Nτ combiners 400a through 440t. For example, spatial division processor 430a assigned to sub-channel 1 may provide up to Nτ modulation symbols for sub-channel 1 of antennas 1 through Nτ. Similarly, spatial division processor 430k assigned to sub-channel k may provide up to Nτ symbols for sub-channel k of antennas 1 through Nτ. Each combiner 440 receives the modulation symbols for the L sub-channels, combines the symbols for each time slot into a modulation symbol vector, and provides the modulation symbol vectors as a modulation symbol vector stream, V, to the next processing stage (e.g., modulator 114).
Channel data processor 400 may also be designed to provide the necessary processing to implement the full-CSI or partial-CSI processing modes described above. The CSI processing may be performed based on the available CSI information and on selected channel data streams, subchannels, antennas, etc. The CSI processing may also be enabled and disabled selectively and dynamically. For example, the CSI processing may be enabled for a particular transmission and disabled for some other transmissions. The CSI processing may be enabled under certain conditions, for example, when the transmission link has adequate C/I.
Channel data processor 400 in FIG. 4 A provides a high level of flexibility. However, such flexibility is typically not needed for all channel data streams. For example, the data for a voice call is typically transmitted over one sub-channel for the duration of the call, or until such time as the sub-channel is reassigned. The design of the channel data processor can be greatly simplified for these channel data streams.
FIG. 4B is a block diagram of the processing that can be employed for one channel data steam such as overhead data, signaling, voice, or traffic data. A spatial division processor 450 can be used to implement one channel data processor 332 in FIG. 3 and can be used to support a channel data stream such as, for example, a voice call. A voice call is typically assigned to one sub-channel for multiple time slots (e.g., voice 1 in FIG. 2) and may be transmitted from multiple antennas. The encoded data stream, Xj, is provided to spatial division processor 450 that groups the data into blocks, with each block having a particular number of bits that are used to generate a modulation symbol. The modulation symbols from spatial division processor 450 are then provided to one or more combiners 440 associated with the one or more antennas used to transmit the channel data stream.
A specific implementation of a transmitter unit capable of generating the transmit signal shown in FIG. 2 is now described for a better understanding of the invention. At time slot 2 in FIG. 2, control data is transmitted on sub-channel 1, broadcast data is transmitted on sub-channel 2, voice calls 1 and 2 are assigned to sub-channels 3 and 4, respectively, and traffic data is transmitted on sub-channels 5 through 16. In this example, the transmitter unit is assumed to include four transmit antennas (i.e., Nτ = 4) and four transmit signals (i.e., four RF modulated signals) are generated for the four antennas.
FIG. 5A is a block diagram of a portion of the processing units that can be used to generate the transmit signal for time slot 2 in FIG. 2. The input data stream is provided to a demultiplexer (DEMUX) 510 that demultiplexes the stream into five channel data streams, Sx through S5, corresponding to control, broadcast, voice 1, voice 2, and data 1 in FIG. 2. Each channel data stream is provided to a respective encoder 512 that encodes the data using an encoding scheme selected for that stream. In this example, channel data streams Sα through S3 are transmitted using transmit diversity. Thus, each of the encoded data streams Xα through X3 is provided to a respective channel data processor 532 that generates the modulation symbols for that stream. The modulation symbols from each of the channel data processors 532a through 532c are then provided to all four combiners 540a through 540d. Each combiner 540 receives the modulation symbols for all 16 sub-channels designated for the antenna associated with the combiner, combines the symbols on each sub-channel at each time slot to generate a modulation symbol vector, and provides the modulation symbol vectors as a modulation symbol vector stream, V, to an associated modulator 114. As indicated in FIG. 5A, channel data stream Sl is transmitted on sub-channel 1 from all four antennas, channel data stream S2 is transmitted on sub-channel 2 from all four antennas, and channel data stream S3 is transmitted on sub-channel 3 from all four antennas.
FIG. 5B is a block diagram of a portion of the processing units used to process the encoded data for channel data stream S4. In this example, channel data stream S4 is transmitted using spatial diversity (and not transmit diversity as used for channel data streams S1 through S3). With spatial diversity, data is demultiplexed and transmitted (concurrently in each of the assigned sub-channels or over different time slots) over multiple antennas. The encoded data stream X4 is provided to a channel data processor 532d that generates the modulation symbols for that stream. The modulation symbols in this case are linear combinations of modulation symbols selected from symbol alphabets that correspond to each of the eigenmodes of the channel. In this example, there are four distinct eigenmodes, each of which is capable of conveying a different amount of information. As an example, suppose eigenmode 1 has a C/I that allows 64- QAM (6 bits) to be transmitted reliably, eigenmode 2 permits 16-QAM (4 bits), eigenmode 3 permits QPSK (2 bits) and eigenmode 4 permits BPSK (1 bit) to be used. Thus, the combination of all four eigenmodes allows a total of 13 information bits to be transmitted simultaneously as an effective modulation symbol on all four antennas in the same sub-channel. The effective modulation symbol for the assigned sub-channel on each antenna is a linear combination of the individual symbols associated with each eigenmode, as described by the matrix multiply given in equation (1) above.
FIG. 5C is a block diagram of a portion of the processing units used tq process channel data stream S5. The encoded data stream X5 is provided to a demultiplexer (DEMUX) 530 that demultiplexes the stream X5 into twelve sub-channel data streams, X5 π through X5/16, one sub-channel data stream for each of the allocated sub-channels 5 through 16. Each sub-channel data stream is then provided to a respective sub-channel data processor 536 that generates the modulation symbols for the associated sub-channel data stream. The sub-channel symbol stream from sub-channel data processors 536a through 5361 are then provided to demultiplexers 538a through 5381, respectively. Each demultiplexer 538 demultiplexes the received subchannel symbol stream into four symbol sub-streams, with each symbol sub- stream corresponding to a particular sub-channel at a particular antenna. The four symbol sub-streams from each demultiplexer 538 are then provided to the four combiners 540a through 540d. In FIG. 5C, a sub-channel data stream is processed to generate a subchannel symbol stream that is then demultiplexed into four symbol sub- streams, one symbol sub-stream for a particular sub-channel of each antenna. This implementation is a different from that described for FIG. 4A. In FIG. 4A, the sub-channel data stream designated for a particular subchannel is demultiplexed into a number of data sub-streams, one data sub- stream for each antenna, and then processed to generate the corresponding symbol sub-streams. The demultiplexing in FIG. 5C is performed after the symbol modulation whereas the demultiplexing in FIG. 4A is performed before the symbol modulation. Other implementations may also be used and are within the scope of the present invention.
Each combination of sub-channel data processor 536 and demultiplexer 538 in FIG. 5C performs in similar manner as the combination of sub-channel data processor 532d and demultiplexer 534d in FIG. 5B. The rate of each symbol sub-stream from each demultiplexer 538 is, on the average, a quarter of the rate of the symbol stream from the associated channel data processor 536.
FIG. 6 is a block diagram of a receiver unit 600, having multiple receive antennas, which can be used to receive one or more channel data streams. One or more transmitted signals from one or more transmit antennas can be received by each of antennas 610a through 610r and routed to a respective front end processor 612. For example, receive antenna 610a may receive a number of transmitted signals from a number of transmit antennas, and receive antenna 610r may similarly receive multiple transmitted signals. Each front end processor 612 conditions (e.g., filters and amplifies) the received signal, downconverts the conditioned signal to an intermediate frequency or baseband, and samples and quantizes the downconverted signal. Each front end processor 612 typically further demodulates the samples associated with the specific antenna with the received pilot to generate "coherent" samples that are then provided to a respective FFT processor 614, one for each receive antenna. Each FFT processor 614 generates transformed representations of the received samples and provides a respective stream of modulation symbol vectors. The modulation symbol vector streams from FFT processors 614a through 614r are then provided to demultiplexer and combiners 620, which channelizes the stream of modulation symbol vectors from each FFT processor 614 into a number of (up to L) sub-channel symbol streams. The sub-channel symbol streams from all FFT processors 614 are then processed, based on the (e.g., diversity or MIMO) communications mode used, prior to demodulation and decoding. For a channel data stream transmitted using the diversity communications mode, the sub-channel symbol streams from all antennas used for the transmission of the channel data stream are presented to a combiner that combines the redundant information across time, space, and frequency. The stream of combined modulation symbols are then provided to a (diversity) channel processor 630 and demodulated accordingly.
For a channel data stream transmitted using the MIMO communications mode, all sub-channel symbol streams used for the transmission of the channel data stream are presented to a MIMO processor that orthogonalizes the received modulation symbols in each sub-channel into the distinct eigenmodes. The MIMO processor performs the processing described by equation (2) above and generates a number of independent symbol sub-streams corresponding to the number of eigenmodes used at the transmitter unit. For example, MIMO processor can perform multiplication of the received modulation symbols with the left eigenvectors to generate post-conditioned modulation symbols, which correspond to the modulation symbols prior to the full-CSI processor at the transmitter unit. The (post- conditioned) symbol sub-streams are then provided to a (MIMO) channel processor 630 and demodulated accordingly. Thus, each channel processor 630 receives a stream of modulation symbols (for the diversity communications mode) or a number of symbol sub-streams (for the MIMO communications mode). Each stream or sub-stream of modulation symbols is then provided to a respective demodulator (DEMOD) that implements a demodulation scheme (e.g., M-PSK, M-QAM, or others) that is complementary to the modulation scheme used at the transmitter unit for the sub-channel being processed. For the MIMO communications mode, the demodulated data from all assigned demodulators may then be decoded independently or multiplexed into one channel data stream and then decoded, depending upon the coding and modulation method employed at the transmitter unit. For both the diversity and MIMO communications modes, the channel data stream from channel processor 630 may then provided to a respective decoder 640 that implements a decoding scheme complementary to that used at the transmitter unit for the channel data stream. The decoded data from each decoder 540 represents an estimate of the transmitted data for that channel data stream.
FIG. 6 represents one embodiment of a receiver unit. Other designs can contemplated and are within the scope of the present invention. For example, a receiver unit may be designed with only one receive antenna, or may be designed capable of simultaneously processing multiple (e.g., voice, data) channel data streams.
As noted above, multi-carrier modulation is used in the communications system of the invention. In particular, OFDM modulation can be employed to provide a number of benefits including improved performance in a multipath environment, reduced implementation complexity (in a relative sense, for the MIMO mode of operation), and flexibility. However, other variants of multi-carrier modulation can also be used and are within the scope of the present invention. OFDM modulation can improve system performance due to multipath delay spread or differential path delay introduced by the propagation environment between the transmitting antenna and the receiver antenna. The communications link (i.e., the RF channel) has a delay spread that may potentially be greater than the reciprocal of the system operating bandwidth, W. Because of this, a communications system employing a modulation scheme that has a transmit symbol duration of less than the delay spread will experience inter-symbol interference (ISI). The ISI distorts the received symbol and increases the likelihood of incorrect detection.
With OFDM modulation, the transmission channel (or operating bandwidth) is essentially divided into a (large) number of parallel sub- channels (or sub-bands) that are used to communicate the data. Because each of the sub-channels has a bandwidth that is typically much less than the coherence bandwidth of the communications link, ISI due to delay spread in the link is significantly reduced or eliminated using OFDM modulation. In contrast, most conventional modulation schemes (e.g., QPSK) are sensitive to ISI unless the transmission symbol rate is small compared to the delay spread of the communications link.
As noted above, cyclic prefixes can be used to combat the deleterious effects of multipath. A cyclic prefix is a portion of an OFDM symbol (usually the front portion, after the IFFT) that is wrapped around to the back of the symbol. The cyclic prefix is used to retain orthogonality of the OFDM symbol, which is typically destroyed by multipath.
As an example, consider a communications system in which the channel delay spread is less than 10 μsec. Each OFDM symbol has appended onto it a cyclic prefix that insures that the overall symbol retains its orthogonal properties in the presence of multipath delay spread. Since the cyclic prefix conveys no additional information, it is essentially overhead. To maintain good efficiency, the duration of the cyclic prefix is selected to be a small fraction of the overall transmission symbol duration. For the above example, using a 5% overhead to account for the cyclic prefix, a transmission symbol duration of 200 μsec is adequate for a 10 μsec maximum channel delay spread. The 200 μsec transmission symbol duration corresponds to a bandwidth of 5 kHz for each of the sub-bands. If the overall system bandwidth is 1.2288 MHz, 250 sub-channels of approximately 5 kHz can be provided. In practice, it is convenient for the number of sub-channels to be a power of two. Thus, if the transmission symbol duration is increased to 205 μsec and the system bandwidth is divided into M = 256 sub-bands, each sub-channel will have a bandwidth of 4.88 kHz.
In certain embodiments of the invention, OFDM modulation can reduce the complexity of the system. When the communications system incorporates MIMO technology, the complexity associated with the receiver unit can be significant, particularly when multipath is present. The use of OFDM modulation allows each of the sub-channels to be treated in an independent manner by the MIMO processing employed. Thus, OFDM modulation can significantly simplify the signal processing at the receiver unit when MIMO technology is used.
OFDM modulation can also afford added flexibility in sharing the system bandwidth, W, among multiple users. Specifically, the available transmission space for OFDM symbols can be shared among a group of users. For example, low rate voice users can be allocated a sub-channel or a fraction of a sub-channel in OFDM symbol, while the remaining subchannels can be allocated to data users based on aggregate demand. In addition, overhead, broadcast, and control data can be conveyed in some of the available sub-channels or (possibly) in a portion of a sub-channel.
As described above, each sub-channel at each time slot is associated with a modulation symbol that is selected from some alphabet such as M- PSK or M-QAM. In certain embodiments, the modulation symbol in each of the L sub-channels can be selected such that the most efficient use is made of that sub-channel. For example, sub-channel 1 can be generated using QPSK, sub-channel 2 can be generate using BPSK, sub-channel 3 can be generated using 16-QAM, and so on. Thus, for each time slot, up to L modulation symbols for the L sub-channels are generated and combined to generate the modulation symbol vector for that time slot.
One or more sub-channels can be allocated to one or more users. For example, each voice user may be allocated a single sub-channel. The remaining sub-channels can be dynamically allocated to data users. In this case, the remaining sub-channels can be allocated to a single data user or divided among multiple data users. In addition, some sub-channels can be reserved for transmitting overhead, broadcast, and control data. In certain embodiments of the invention, it may be desirable to change the subchannel assignment from (possibly) modulation symbol to symbol in a pseudo-random manner to increase diversity and provide some interference averaging.
In a CDMA system, the transmit power on each reverse link transmission is controlled such that the required frame error rate (FER) is achieved at the base station at the minimal transmit power, thereby minimizing interference to other users in the system. On the forward link of the CDMA system, the transmit power is also adjusted to increase system capacity.
In the communications system of the invention, the transmit power on the forward and reverse links can be controlled to minimize interference and maximize system capacity. Power control can be achieved in various manners. For example, power control can be performed on each channel data stream, on each sub-channel, on each antenna, or on some other unit of measurement. When operating in the diversity communications mode, if the path loss from a particular antenna is great, transmission from this antenna can be reduced or muted since little may be gained at the receiver unit. Similarly, if transmission occurs over multiple sub-channels, less power may be transmitted on the sub-channel(s) experiencing the most path loss.
In an implementation, power control can be achieved with a feedback mechanism similar to that used in the CDMA system. Power control information can be sent periodically or autonomously from the receiver unit to the transmitter unit to direct the transmitter unit to increase or decrease its transmit power. The power control bits may be generated based on, for example, the BER or FER at the receiver unit.
FIG. 7 shows plots that illustrate the spectral efficiency associated with some of the communications modes of the communications system of the invention. In FIG. 7, the number of bits per modulation symbol for a given bit error rate is given as a function of C/I for a number of system configurations. The notation NTxNR denotes the dimensionality of the configuration, with Nτ = number of transmit antennas and NR = number of receive antennas. Two diversity configurations, namely 1x2 and 1x4, and four MIMO configurations, namely 2x2, 2x4, 4x4, and 8x4, are simulated and the results are provided in FIG. 7.
As shown in the plots, the number of bits per symbol for a given BER ranges from less than 1 bps/Hz to almost 20 bps/Hz. At low values of C/I, the spectral efficiency of the diversity communications mode and MIMO communications mode is similar, and the improvement in efficiency is less noticeable. However, at higher values of C/I, the increase in spectral efficiency with the use of the MIMO communications mode becomes more dramatic. In certain MIMO configurations and for certain conditions, the instantaneous improvement can reach up to 20 times.
From these plots, it can be observed that spectral efficiency generally increases as the number of transmit and receive antennas increases. The improvement is also generally limited to the lower of Nτ and NR. For example, the diversity configurations, 1x2 and 1x4, both asymptotically reach approximately 6 bps/Hz.
In examining the various data rates achievable, the spectral efficiency values given in FIG. 7 can be applied to the results on a sub-channel basis to obtain the range of data rates possible for the sub-channel. As an example, for a subscriber unit operating at a C/I of 5 dB, the spectral efficiency achievable for this subscriber unit is between 1 bps/Hz and 2.25 bps/Hz, depending on the communications mode employed. Thus, in a 5 kHz sub- channel, this subscriber unit can sustain a peak data rate in the range of 5 kbps to 10.5 kbps. If the C/I is 10 dB, the same subscriber unit can sustain peak data rates in the range of 10.5 kbps to 25 kbps per sub-channel. With 256 sub-channels available, the peak sustained data rate for a subscriber unit operating at 10 dB C/I is then 6.4 Mbps. Thus, given the data rate requirements of the subscriber unit and the operating C/I for the subscriber unit, the system can allocate the necessary number of sub-channels to meet the requirements. In the case of data services, the number of sub-channels allocated per time slot may vary depending on, for example, other traffic loading.
The reverse link of the communications system can be designed similar in structure to the forward link. However, instead of broadcast and common control channels, there may be random access channels defined in specific sub-channels or in specific modulation symbol positions of the frame, or both. These may be used by some or all subscriber units to send short requests (e.g., registration, request for resources, and so on) to the central station. In the common access channels, the subscriber units may employ common modulation and coding. The remaining channels may be allocated to separate users as in the forward link. Allocation and deallocation of resources (on both the forward and reverse links) can be controlled by the system and can be communicated on the control channel in the forward link. One design consideration for on the reverse link is the maximum differential propagation delay between the closest subscriber unit and the furthest subscriber unit. In systems where this delay is small relative to the cyclic prefix duration, it may not be necessary to perform correction at the transmitter unit. However, in systems in which the delay is significant, the cyclic prefix can be extended to account for the incremental delay. In some instances, it may be possible to make a reasonable estimate of the round trip delay and correct the time of transmit so that the symbol arrives at the central station at the correct instant. Usually there is some residual error, so the cyclic prefix may also further be extended to accommodate this residual error.
In the communications system, some subscriber units in the coverage area may be able to receive signals from more than one central station. If the information transmitted by multiple central stations is redundant on two or more sub-channels and/or from two or more antennas, the received signals can be combined and demodulated by the subscriber unit using a diversity-combining scheme. If the cyclic prefix employed is sufficient to handle the differential propagation delay between the earliest and latest arrival, the signals can be (optimally) combined in the receiver and demodulated correctly. This diversity reception is well known in broadcast applications of OFDM. When the sub-channels are allocated to specific subscriber units, it is possible for the same information on a specific sub- channel to be transmitted from a number of central stations to a specific subscriber unit. This concept is similar to the soft handoff used in CDMA systems.
As shown above, the transmitter unit and receiver unit are each implemented with various processing units that include various types of data processor, encoders, IFFTs, FFTs, demultiplexers, combiners, and so on. These processing units can be implemented in various manners such as an application specific integrated circuit (ASIC), a digital signal processor, a microcontroller, a microprocessor, or other electronic circuits designed to perform the functions described herein. Also, the processing units can be implemented with a general-purpose processor or a specially designed processor operated to execute instruction codes that achieve the functions described herein. Thus, the processing units described herein can be implemented using hardware, software, or a combination thereof.
The foregoing description of the preferred embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without the use of the inventive faculty. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
WHAT IS CLAIMED IS:

Claims (27)

1." A method for measuring and reporting transmission characteristics of a propagation channel in a multiple input/multiple output communication system, comprising the steps of: generating a plurality of pilot signals; transmitting the plurality of pilot signals over a propagation channel between a transmitter unit and a plurality of receiver units, wherein the transmitter unit comprises at least one transmit antenna, each of the plurality of receiver units comprises at least one receive antenna, and the propagation channel comprises a plurality of sub-channels between the transmitter unit and the plurality of receiver units; receiving at least one of the plurality of pilot signals at each of the plurality of receiver units; determining a set of transmission characteristics for at least one of the plurality of sub-channels, wherein the step of determining the set of transmission characteristics uses at least one of the plurality of pilot signals received at each of the plurality of receiver units; reporting an information signal from each of the plurality of receiver units to the transmitter unit, wherein the information signal carries the set of transmission characteristics for at least one of the plurality of sub- channels; and optimizing a set of transmission parameters at the transmitter unit, based on the information signal.
2. The method of Claim 1, wherein the step of transmitting the plurality of pilot signals comprise the steps of: generating a plurality of disjoint orthogonal frequency-division multiplexed (OFDM) sub-channel sets, wherein the plurality of disjoint
OFDM sub-channel sets may comprise disjoint, substantially orthogonal frequency-division multiplexed sub-channel sets; and transmitting at least one of the plurality of pilot signals on at least one of the plurality of disjoint OFDM sub-channel sets.
3. The method of Claim 2, wherein the step of generating the plurality of disjoint OFDM sub-channel sets comprises the step of reusing at least one of the plurality of disjoint OFDM sub-channel sets if the at least one transmit antenna is spatially distant from any other transmit antenna.
4. The method of Claim 2, wherein the step of determining the set of transmission characteristics for at least one of the plurality of sub-channels comprises the step of analyzing a group of the disjoint OFDM sub-channel sets.
5. The method of Claim 4, wherein the set of transmission characteristics comprises an average interference level.
6. The method of Claim 4, wherein the set of transmission characteristics comprises a noise level.
7. The method of Claim 1, wherein the plurality of pilot signals comprises a plurality of orthogonal sequences.
8. The method of Claim 1, wherein the plurality of pilot signals comprises a plurality of OFDM symbols.
9. The method of Claim 8, wherein the plurality of OFDM symbols are orthogonally coded.
10. The method of Claim 9, wherein the plurality of OFDM symbols are orthogonally coded with Walsh code sequences.
11. The method of Claim 1, wherein the plurality of pilot signals comprises a plurality of shifted Maximal-Length Shift Register sequences
(m-sequences), wherein each of the plurality of shifted m-sequences is separated by a predetermined period.
12. The method of Claim 11, wherein the plurality of pilot signals comprises a plurality of shifted, appended m-sequences, wherein each of the plurality of shifted, appended m-sequences includes a repeated portion of the m-sequence.
13. The method of Claim 4, wherein the group of the disjoint OFDM sub- channel sets comprises: at least one of the plurality of disjoint OFDM sub-channel sets associated with a principal link; and at least one of the plurality of disjoint OFDM sub-channel sets associated with a set of interfering links.
14. The method of Claim 13, wherein the information signal carries the set of transmission characteristics associated with the principal link and the set of interfering links.
15. The method of Claim 2, wherein the step of reporting transmission parameters comprises the steps of: generating a polynomial function representative of a set of transmission characteristics of the principle link; and transmitting a set of coefficients associated with the polynomial function.
16. The method of Claim 2, wherein the step of reporting the information signal comprises the step of compressing the set of transmission characteristics for at least one of the plurality of sub-channels, wherein the set of transmission characteristics is obtained from an inverse fast Fourier transformation performed upon a channel frequency response.
17. The method of Claim 1, further comprising the steps of: generating a plurality of scheduling messages at the transmitter unit; and transmitting at least one of the plurality of scheduling messages to at least one of the plurality of receiver units, wherein upon receipt of the at least one of the plurality of scheduling messages, the at least one of the plurality of receiver units schedules the step of reporting the information signal.
18. An apparatus for measuring and reporting transmission characteristics of a propagation channel in a multiple input/ multiple output communication system, comprising: means for generating a plurality of pilot signals; means for transmitting the plurality of pilot signals over a propagation channel between a transmitter unit and a plurality of receiver units, wherein the transmitter unit comprises at least one transmit antenna, , each of the plurality of receiver units comprises at least one receive antenna, and the propagation channel comprises a plurality of sub-channels between the transmitter unit and the plurality of receiver units; means for receiving at least one of the plurality of pilot signals at the receiver unit; means for determining a set of transmission characteristics for at least one of the plurality of sub-channels, wherein the step of determining the set of transmission characteristics uses at least one of the plurality of pilot signals received at each of the plurality of receiver units; means for reporting an information signal from each of the plurality of receiver units to the transmitter unit, wherein the information signal carries the set of transmission characteristics for at least one of the plurality of sub-channels; and means for optimizing a set of transmission parameters at the transmitter unit, based on the information signal.
19. A method for measuring and reporting channel state information (CSI) in a multiple input /multiple output (MIMO) system, comprising the steps of: assigning a plurality of disjoint sub-channel sets to a plurality of transmit antennas; transmitting a plurality of Orthogonal Frequency Division
Multiplexed (OFDM) pilot signals from a transmitter unit to a plurality of receiver units, wherein each of the plurality of OFDM pilot signals is transmitted on at least one of the plurality of disjoint sub-channel sets; demodulating the plurality of OFDM pilot signals; determining the CSI of the plurality of disjoint sub-channel sets, wherein the step of determining the CSI uses the demodulated plurality of
OFDM pilot signals; transmitting the CSI of the plurality of disjoint sub-channel sets to the transmitter unit; and preconditioning a transmission symbol.
20. The method of Claim 19, wherein the step of transmitting the CSI of the plurality of disjoint sub-channel sets comprises the steps of: compressing the CSI into a reduced matrix; and transmitting a representation of the reduced matrix to the transmitter unit.
21. The method of Claim 20, wherein the reduced matrix is a multiplication result from multiplying a channel response matrix and a complex-conjugate of the channel response matrix, wherein the channel response matrix includes a plurality of the CSI gain values.
22. The method of Claim 21, wherein the representation of the reduced matrix is an eigenmode matrix.
22. The method of Claim 19, wherein the step of determining the CSI of the plurality of disjoint sub-channel sets further comprises the steps of: determining whether a communications link has a number of multipath components that is less than a predefined threshold; and performing a inverse Fast Fourier Transform (IFFT) operation on a set of channel frequency responses of the communications link if the number of multipath components is less than the predefined threshold, wherein the result of the IFFT operation is channel state information to be transmitted to the transmitter unit.
23. A system for measuring and reporting channel state information (CSI) in a multiple input /multiple output communication system, comprising: a processor at a base station for assigning a plurality of disjoint subchannel sets to a plurality of transmit antennas, for generating a plurality of pilot signals, for assigning each of the plurality of pilot signals to at least one of the plurality of disjoint sub-channel sets, and for preconditioning transmission data; a modulator connected to the processor for receiving the plurality of pilot signals and modulating the plurality of pilot signals onto the plurality of assigned disjoint sub-channel sets, wherein the plurality of assigned disjoint sub-channel sets are transmitted by the plurality of transmit antennas; a demodulator at each of a plurality of receiver units for receiving data carried on the plurality of disjoint sub-channel sets; and a processor connected to the demodulator at each of the plurality of receiver units for analyzing demodulated data, wherein the processor determines CSI from demodulated data and generates a CSI message for transmission to the base station, wherein the CSI message is used by the processor at the base station to precondition transmission data.
24. The system of Claim 23, wherein the processor connected to the demodulator at each of the plurality of receiver units generates the CSI message for a subset of the plurality of disjoint sub-channel sets.
25. The system of Claim 23, wherein the processor at the base station generates a plurality of pilot signals that comprises a plurality of orthogonal sequences.
26. The system of Claim 23, wherein the processor at the base station generates a plurality of pilot signals that comprises a plurality of periodic
OFDM symbols.
27. The system of Claim 23, wherein the processor at the base station generates a plurality of pilot signals that comprises a plurality of shifted Maximal-Length Shift Register sequences (m-sequences).
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Families Citing this family (595)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1033004A1 (en) * 1998-09-18 2000-09-06 Hughes Electronics Corporation Method and constructions for space-time codes for psk constellations for spatial diversity in multiple-element antenna systems
US7952511B1 (en) 1999-04-07 2011-05-31 Geer James L Method and apparatus for the detection of objects using electromagnetic wave attenuation patterns
US6898248B1 (en) * 1999-07-12 2005-05-24 Hughes Electronics Corporation System employing threaded space-time architecture for transporting symbols and receivers for multi-user detection and decoding of symbols
US6922445B1 (en) * 1999-12-15 2005-07-26 Intel Corporation Method and system for mode adaptation in wireless communication
PT1245093E (en) 2000-01-07 2007-01-31 Aware Inc Diagnostic methods and systems for multicarrier modems
JP3581072B2 (en) * 2000-01-24 2004-10-27 株式会社エヌ・ティ・ティ・ドコモ Channel configuration method and base station using the method
US6952454B1 (en) 2000-03-22 2005-10-04 Qualcomm, Incorporated Multiplexing of real time services and non-real time services for OFDM systems
US6795392B1 (en) * 2000-03-27 2004-09-21 At&T Corp. Clustered OFDM with channel estimation
KR100615887B1 (en) * 2000-04-07 2006-08-25 삼성전자주식회사 Wireless communication system with feedback and method thereof
DE60021524T2 (en) * 2000-04-18 2006-06-01 Sony International (Europe) Gmbh OFDM diversity transmission
US8363744B2 (en) 2001-06-10 2013-01-29 Aloft Media, Llc Method and system for robust, secure, and high-efficiency voice and packet transmission over ad-hoc, mesh, and MIMO communication networks
EP1424793B1 (en) * 2000-06-21 2005-12-07 Samsung Electronics Co., Ltd. Apparatus and method for gating transmission of a data rate control channel in an hdr mobile communication system
JP2002009680A (en) * 2000-06-21 2002-01-11 Matsushita Electric Ind Co Ltd Receiver and transmitter
EP2262157A3 (en) * 2000-07-05 2011-03-23 Sony Deutschland Gmbh Pilot pattern design for a STTD scheme in an OFDM system
ES2701182T3 (en) * 2000-07-12 2019-02-21 Qualcomm Inc Procedure and apparatus to generate pilot signals in a MIMO system
US7236538B1 (en) 2000-08-02 2007-06-26 Via Telecom Co., Ltd. Method and apparatus for improving transmit antenna weight tracking using channel correlations in a wireless communication system
US7180956B1 (en) * 2000-08-02 2007-02-20 Via Telecom Co., Ltd. Method and apparatus for applying overlaid perturbation vectors for gradient feedback transmit antenna array adaptation
US7433416B1 (en) 2000-08-02 2008-10-07 Via Telecom Co., Ltd. Method and apparatus for generating transmit adaptive antenna weights with nulling using binary gradient feedback
JP2002058063A (en) * 2000-08-08 2002-02-22 Hitachi Ltd Cellular system and base station
DE60037583T2 (en) 2000-08-24 2009-01-08 Sony Deutschland Gmbh Communication device for transmitting and receiving OFDM signals in a radio communication system
US8165246B1 (en) * 2000-08-28 2012-04-24 Alcatel Lucent Training sequence for low latency LMS implementation
US7233625B2 (en) * 2000-09-01 2007-06-19 Nortel Networks Limited Preamble design for multiple input—multiple output (MIMO), orthogonal frequency division multiplexing (OFDM) system
US7009931B2 (en) * 2000-09-01 2006-03-07 Nortel Networks Limited Synchronization in a multiple-input/multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system for wireless applications
US8339935B2 (en) 2000-09-01 2012-12-25 Apple Inc. Adaptive time diversity and spatial diversity for OFDM
US6937592B1 (en) * 2000-09-01 2005-08-30 Intel Corporation Wireless communications system that supports multiple modes of operation
US6985434B2 (en) * 2000-09-01 2006-01-10 Nortel Networks Limited Adaptive time diversity and spatial diversity for OFDM
GB2366494A (en) * 2000-09-05 2002-03-06 Mitel Corp Dividing bandwidth into sub-bands prior to implementing an FFT in a high data rate communications network
US9130810B2 (en) 2000-09-13 2015-09-08 Qualcomm Incorporated OFDM communications methods and apparatus
US7295509B2 (en) 2000-09-13 2007-11-13 Qualcomm, Incorporated Signaling method in an OFDM multiple access system
US6760882B1 (en) 2000-09-19 2004-07-06 Intel Corporation Mode selection for data transmission in wireless communication channels based on statistical parameters
US6842487B1 (en) * 2000-09-22 2005-01-11 Telefonaktiebolaget Lm Ericsson (Publ) Cyclic delay diversity for mitigating intersymbol interference in OFDM systems
US7460835B1 (en) * 2000-09-22 2008-12-02 Arraycomm Llc Method and apparatus for determining an operating condition in a communications system
EP1195937A1 (en) * 2000-10-03 2002-04-10 Telefonaktiebolaget Lm Ericsson Space-time coding with orthogonal transformations
US7072315B1 (en) 2000-10-10 2006-07-04 Adaptix, Inc. Medium access control for orthogonal frequency-division multiple-access (OFDMA) cellular networks
GB0024835D0 (en) * 2000-10-11 2000-11-22 Pace Micro Tech Plc Avoidance of interference between items of electrical apparatus
US6870808B1 (en) * 2000-10-18 2005-03-22 Adaptix, Inc. Channel allocation in broadband orthogonal frequency-division multiple-access/space-division multiple-access networks
KR100751601B1 (en) * 2000-10-27 2007-08-22 노오텔 네트웍스 리미티드 Combination of space-time coding and spatial multiplexing, and the use of orthogonal transformation in space-time coding
US7342875B2 (en) * 2000-11-06 2008-03-11 The Directv Group, Inc. Space-time coded OFDM system for MMDS applications
US6567387B1 (en) * 2000-11-07 2003-05-20 Intel Corporation System and method for data transmission from multiple wireless base transceiver stations to a subscriber unit
DE60042408D1 (en) * 2000-11-13 2009-07-30 Lucent Technologies Inc Channel estimation for space diversity communication systems
US8634481B1 (en) * 2000-11-16 2014-01-21 Alcatel Lucent Feedback technique for wireless systems with multiple transmit and receive antennas
US7646702B2 (en) * 2000-11-17 2010-01-12 Panasonic Corporation OFDM communication apparatus
US6754253B2 (en) * 2000-11-29 2004-06-22 Ericsson Inc. Receiver architecture for transmit diversity in CDMA system
US7035354B2 (en) * 2000-12-08 2006-04-25 International Business Machine Corporation CDMA multi-user detection with a real symbol constellation
CN100456758C (en) 2000-12-15 2009-01-28 昂达博思公司 Multi-carrier communications with group-based subcarrier allocation
US6947748B2 (en) 2000-12-15 2005-09-20 Adaptix, Inc. OFDMA with adaptive subcarrier-cluster configuration and selective loading
US6980600B1 (en) * 2000-12-26 2005-12-27 Nortel Networks Limited Receiver system for Multiple-Transmit, Multiple-Receive (MTMR) wireless communications systems
US20020085641A1 (en) * 2000-12-29 2002-07-04 Motorola, Inc Method and system for interference averaging in a wireless communication system
US6778839B2 (en) * 2001-01-02 2004-08-17 Nokia Corporation Method and device for transmission power selection and bit rate selection for channels with open loop power control
US7230910B2 (en) * 2001-01-30 2007-06-12 Lucent Technologies Inc. Optimal channel sounding system
US7116722B2 (en) * 2001-02-09 2006-10-03 Lucent Technologies Inc. Wireless communication system using multi-element antenna having a space-time architecture
US20020136287A1 (en) * 2001-03-20 2002-09-26 Heath Robert W. Method, system and apparatus for displaying the quality of data transmissions in a wireless communication system
US6771706B2 (en) * 2001-03-23 2004-08-03 Qualcomm Incorporated Method and apparatus for utilizing channel state information in a wireless communication system
US7929631B2 (en) * 2001-04-23 2011-04-19 Texas Instruments Incorporated Multiple space time transmit diversity communication system with selected complex conjugate inputs
US7310304B2 (en) * 2001-04-24 2007-12-18 Bae Systems Information And Electronic Systems Integration Inc. Estimating channel parameters in multi-input, multi-output (MIMO) systems
US7706458B2 (en) * 2001-04-24 2010-04-27 Mody Apurva N Time and frequency synchronization in Multi-Input, Multi-Output (MIMO) systems
US7088782B2 (en) * 2001-04-24 2006-08-08 Georgia Tech Research Corporation Time and frequency synchronization in multi-input, multi-output (MIMO) systems
GB0110125D0 (en) 2001-04-25 2001-06-20 Koninkl Philips Electronics Nv Radio communication system
EP1255369A1 (en) * 2001-05-04 2002-11-06 TELEFONAKTIEBOLAGET LM ERICSSON (publ) Link adaptation for wireless MIMO transmission schemes
US6785341B2 (en) * 2001-05-11 2004-08-31 Qualcomm Incorporated Method and apparatus for processing data in a multiple-input multiple-output (MIMO) communication system utilizing channel state information
US6856992B2 (en) 2001-05-15 2005-02-15 Metatomix, Inc. Methods and apparatus for real-time business visibility using persistent schema-less data storage
US7058637B2 (en) 2001-05-15 2006-06-06 Metatomix, Inc. Methods and apparatus for enterprise application integration
US6925457B2 (en) 2001-07-27 2005-08-02 Metatomix, Inc. Methods and apparatus for querying a relational data store using schema-less queries
US6662024B2 (en) * 2001-05-16 2003-12-09 Qualcomm Incorporated Method and apparatus for allocating downlink resources in a multiple-input multiple-output (MIMO) communication system
US20090031419A1 (en) 2001-05-24 2009-01-29 Indra Laksono Multimedia system and server and methods for use therewith
US8291457B2 (en) 2001-05-24 2012-10-16 Vixs Systems, Inc. Channel selection in a multimedia system
KR100803115B1 (en) * 2001-06-07 2008-02-14 엘지전자 주식회사 Method for processing signal in WCDMA with adaptive antenna array, System for the same
CN1268071C (en) * 2001-06-27 2006-08-02 皇家菲利浦电子有限公司 Frequency offset diversity receiver
US20030012315A1 (en) * 2001-07-06 2003-01-16 John Fan System and method for multistage error correction coding wirelessly transmitted information in a multiple antennae communication system
US6996380B2 (en) * 2001-07-26 2006-02-07 Ericsson Inc. Communication system employing transmit macro-diversity
US7197282B2 (en) * 2001-07-26 2007-03-27 Ericsson Inc. Mobile station loop-back signal processing
US7209511B2 (en) * 2001-08-31 2007-04-24 Ericsson Inc. Interference cancellation in a CDMA receiving system
US7224942B2 (en) 2001-07-26 2007-05-29 Telefonaktiebolaget Lm Ericsson (Publ) Communications system employing non-polluting pilot codes
US6996375B2 (en) * 2001-07-26 2006-02-07 Ericsson Inc. Transmit diversity and separating multiple loopback signals
US8116260B1 (en) * 2001-08-22 2012-02-14 At&T Intellectual Property Ii, L.P. Simulcasting MIMO communication system
KR100615888B1 (en) * 2001-08-25 2006-08-25 삼성전자주식회사 Mobile communication apparatus and method including antenna array
US7149254B2 (en) * 2001-09-06 2006-12-12 Intel Corporation Transmit signal preprocessing based on transmit antennae correlations for multiple antennae systems
US20050259566A1 (en) * 2001-09-12 2005-11-24 Jae-Hak Chung Method and apparatus for transferring channel information in ofdm communications
US20030067890A1 (en) * 2001-10-10 2003-04-10 Sandesh Goel System and method for providing automatic re-transmission of wirelessly transmitted information
US7548506B2 (en) * 2001-10-17 2009-06-16 Nortel Networks Limited System access and synchronization methods for MIMO OFDM communications systems and physical layer packet and preamble design
KR100986545B1 (en) * 2001-10-17 2010-10-07 노오텔 네트웍스 리미티드 Synchronisation in multicarrier cdma systems
US7158494B2 (en) * 2001-10-22 2007-01-02 Matsushita Electric Industrial Co., Ltd. Multi-mode communications transmitter
KR100596413B1 (en) 2001-10-24 2006-07-03 삼성전자주식회사 Mobile communication apparatus and method having transmitting/receiving multiantenna
WO2003039031A1 (en) 2001-10-31 2003-05-08 Matsushita Electric Industrial Co., Ltd. Radio transmission apparatus and radio communication method
US7218684B2 (en) 2001-11-02 2007-05-15 Interdigital Technology Corporation Method and system for code reuse and capacity enhancement using null steering
US20030125040A1 (en) * 2001-11-06 2003-07-03 Walton Jay R. Multiple-access multiple-input multiple-output (MIMO) communication system
JP3997890B2 (en) 2001-11-13 2007-10-24 松下電器産業株式会社 Transmission method and transmission apparatus
JP3727283B2 (en) * 2001-11-26 2005-12-14 松下電器産業株式会社 Wireless transmission device, wireless reception device, and wireless transmission method
US7336719B2 (en) * 2001-11-28 2008-02-26 Intel Corporation System and method for transmit diversity base upon transmission channel delay spread
KR100803682B1 (en) * 2001-11-29 2008-02-20 인터디지탈 테크날러지 코포레이션 Efficient multiple input multiple output system for multi-path fading channels
US7154936B2 (en) * 2001-12-03 2006-12-26 Qualcomm, Incorporated Iterative detection and decoding for a MIMO-OFDM system
US8045935B2 (en) 2001-12-06 2011-10-25 Pulse-Link, Inc. High data rate transmitter and receiver
US7349439B2 (en) * 2001-12-06 2008-03-25 Pulse-Link, Inc. Ultra-wideband communication systems and methods
US20050207505A1 (en) * 2001-12-06 2005-09-22 Ismail Lakkis Systems and methods for recovering bandwidth in a wireless communication network
US7450637B2 (en) * 2001-12-06 2008-11-11 Pulse-Link, Inc. Ultra-wideband communication apparatus and methods
US7391815B2 (en) * 2001-12-06 2008-06-24 Pulse-Link, Inc. Systems and methods to recover bandwidth in a communication system
US7317756B2 (en) 2001-12-06 2008-01-08 Pulse-Link, Inc. Ultra-wideband communication apparatus and methods
US7430245B2 (en) * 2004-07-02 2008-09-30 Qualcomm Incorporated Time-domain transmit and receive processing with channel eigen-mode decomposition for MIMO systems
US6760388B2 (en) * 2001-12-07 2004-07-06 Qualcomm Incorporated Time-domain transmit and receive processing with channel eigen-mode decomposition for MIMO systems
US6754169B2 (en) * 2001-12-13 2004-06-22 Motorola, Inc. Method and system of operation for a variable transmission mode multi-carrier communication system
US7173990B2 (en) * 2001-12-27 2007-02-06 Dsp Group Inc. Joint equalization, soft-demapping and phase error correction in wireless system with receive diversity
US6912195B2 (en) * 2001-12-28 2005-06-28 Motorola, Inc. Frequency-domain MIMO processing method and system
KR100615889B1 (en) * 2001-12-29 2006-08-25 삼성전자주식회사 Mobile communication apparatus and method having transmitting/receiving mutiantenna
US7020110B2 (en) 2002-01-08 2006-03-28 Qualcomm Incorporated Resource allocation for MIMO-OFDM communication systems
US7020482B2 (en) * 2002-01-23 2006-03-28 Qualcomm Incorporated Reallocation of excess power for full channel-state information (CSI) multiple-input, multiple-output (MIMO) systems
IL151937A0 (en) * 2002-02-13 2003-07-31 Witcom Ltd Near-field spatial multiplexing
US7076263B2 (en) * 2002-02-19 2006-07-11 Qualcomm, Incorporated Power control for partial channel-state information (CSI) multiple-input, multiple-output (MIMO) systems
US6862271B2 (en) 2002-02-26 2005-03-01 Qualcomm Incorporated Multiple-input, multiple-output (MIMO) systems with multiple transmission modes
US6785520B2 (en) * 2002-03-01 2004-08-31 Cognio, Inc. System and method for antenna diversity using equal power joint maximal ratio combining
US6862456B2 (en) 2002-03-01 2005-03-01 Cognio, Inc. Systems and methods for improving range for multicast wireless communication
TWI226765B (en) 2002-03-01 2005-01-11 Cognio Inc System and method for joint maximal ratio combining using time-domain signal processing
US6687492B1 (en) * 2002-03-01 2004-02-03 Cognio, Inc. System and method for antenna diversity using joint maximal ratio combining
GB2386519B (en) 2002-03-12 2004-05-26 Toshiba Res Europ Ltd Adaptive Multicarrier Communication
FI20020461A0 (en) * 2002-03-12 2002-03-12 Nokia Corp Communication method and system
KR100541284B1 (en) * 2002-03-21 2006-01-10 엘지전자 주식회사 Signal Processing Apparatus and Method of Multi Input, Multi Output Mobile Communication System
KR100464014B1 (en) * 2002-03-21 2004-12-30 엘지전자 주식회사 Closed -Loop Signal Processing Method of Multi Input, Multi Output Mobile Communication System
US6871049B2 (en) * 2002-03-21 2005-03-22 Cognio, Inc. Improving the efficiency of power amplifiers in devices using transmit beamforming
US7012978B2 (en) * 2002-03-26 2006-03-14 Intel Corporation Robust multiple chain receiver
US7197084B2 (en) * 2002-03-27 2007-03-27 Qualcomm Incorporated Precoding for a multipath channel in a MIMO system
US7593357B2 (en) * 2002-03-28 2009-09-22 Interdigital Technology Corporation Transmit processing using receiver functions
US7124369B2 (en) * 2002-03-28 2006-10-17 Nortel Networks Limited Multi-layer path explorer
US7224744B2 (en) * 2002-04-22 2007-05-29 Regents Of The University Of Minnesota Space-time multipath coding schemes for wireless communication systems
US6728517B2 (en) * 2002-04-22 2004-04-27 Cognio, Inc. Multiple-input multiple-output radio transceiver
EP1502364A4 (en) * 2002-04-22 2010-03-31 Ipr Licensing Inc Multiple-input multiple-output radio transceiver
US9270410B2 (en) 2002-04-22 2016-02-23 Texas Instruments Incorporated MIMO PGRC system and method
GB0212165D0 (en) * 2002-05-27 2002-07-03 Nokia Corp A wireless system
US7421039B2 (en) * 2002-06-04 2008-09-02 Lucent Technologies Inc. Method and system employing antenna arrays
US20030235252A1 (en) * 2002-06-19 2003-12-25 Jose Tellado Method and system of biasing a timing phase estimate of data segments of a received signal
US7184713B2 (en) * 2002-06-20 2007-02-27 Qualcomm, Incorporated Rate control for multi-channel communication systems
US7095709B2 (en) * 2002-06-24 2006-08-22 Qualcomm, Incorporated Diversity transmission modes for MIMO OFDM communication systems
US7613248B2 (en) * 2002-06-24 2009-11-03 Qualcomm Incorporated Signal processing with channel eigenmode decomposition and channel inversion for MIMO systems
US20040004951A1 (en) * 2002-07-05 2004-01-08 Interdigital Technology Corporation Method for performing wireless switching
CN102655430A (en) 2002-07-30 2012-09-05 美商智慧财产权授权股份有限公司 System and method for multiple-input multiple-output (mimo) radio communication
US7542446B2 (en) * 2002-07-31 2009-06-02 Mitsubishi Electric Research Laboratories, Inc. Space time transmit diversity with subgroup rate control and subgroup antenna selection in multi-input multi-output communications systems
US7133354B2 (en) * 2002-08-26 2006-11-07 Qualcomm Incorporated Synchronization techniques for a wireless system
US6985498B2 (en) * 2002-08-26 2006-01-10 Flarion Technologies, Inc. Beacon signaling in a wireless system
US7366200B2 (en) * 2002-08-26 2008-04-29 Qualcomm Incorporated Beacon signaling in a wireless system
US7388845B2 (en) * 2002-08-26 2008-06-17 Qualcomm Incorporated Multiple access wireless communications system using a multisector configuration
US6940917B2 (en) * 2002-08-27 2005-09-06 Qualcomm, Incorporated Beam-steering and beam-forming for wideband MIMO/MISO systems
US8194770B2 (en) 2002-08-27 2012-06-05 Qualcomm Incorporated Coded MIMO systems with selective channel inversion applied per eigenmode
EP1542384A4 (en) * 2002-08-28 2007-06-20 Fujitsu Ltd Transmission/reception apparatus and transmission/reception method
WO2004021506A2 (en) 2002-08-28 2004-03-11 Zyray Wireless, Inc. Iterative multi-stage detection technique for a diversity receiver having multiple antenna elements
DE10239810A1 (en) * 2002-08-29 2004-03-11 Siemens Ag Method and transmission device for transmitting data in a multi-carrier system
US7260153B2 (en) * 2002-09-09 2007-08-21 Mimopro Ltd. Multi input multi output wireless communication method and apparatus providing extended range and extended rate across imperfectly estimated channels
US7031669B2 (en) * 2002-09-10 2006-04-18 Cognio, Inc. Techniques for correcting for phase and amplitude offsets in a MIMO radio device
GB0222555D0 (en) * 2002-09-28 2002-11-06 Koninkl Philips Electronics Nv Packet data transmission system
US7889819B2 (en) * 2002-10-04 2011-02-15 Apurva Mody Methods and systems for sampling frequency offset detection, correction and control for MIMO OFDM systems
US7720093B2 (en) * 2002-10-10 2010-05-18 Qualcomm Incorporated Modulation multiplexing
US20040121730A1 (en) * 2002-10-16 2004-06-24 Tamer Kadous Transmission scheme for multi-carrier MIMO systems
US8134976B2 (en) 2002-10-25 2012-03-13 Qualcomm Incorporated Channel calibration for a time division duplexed communication system
US8320301B2 (en) 2002-10-25 2012-11-27 Qualcomm Incorporated MIMO WLAN system
US7002900B2 (en) 2002-10-25 2006-02-21 Qualcomm Incorporated Transmit diversity processing for a multi-antenna communication system
US7986742B2 (en) 2002-10-25 2011-07-26 Qualcomm Incorporated Pilots for MIMO communication system
US8218609B2 (en) 2002-10-25 2012-07-10 Qualcomm Incorporated Closed-loop rate control for a multi-channel communication system
US8570988B2 (en) 2002-10-25 2013-10-29 Qualcomm Incorporated Channel calibration for a time division duplexed communication system
US8169944B2 (en) 2002-10-25 2012-05-01 Qualcomm Incorporated Random access for wireless multiple-access communication systems
US7151809B2 (en) * 2002-10-25 2006-12-19 Qualcomm, Incorporated Channel estimation and spatial processing for TDD MIMO systems
US8208364B2 (en) 2002-10-25 2012-06-26 Qualcomm Incorporated MIMO system with multiple spatial multiplexing modes
US20040081131A1 (en) 2002-10-25 2004-04-29 Walton Jay Rod OFDM communication system with multiple OFDM symbol sizes
US8170513B2 (en) 2002-10-25 2012-05-01 Qualcomm Incorporated Data detection and demodulation for wireless communication systems
US7324429B2 (en) * 2002-10-25 2008-01-29 Qualcomm, Incorporated Multi-mode terminal in a wireless MIMO system
US7039001B2 (en) * 2002-10-29 2006-05-02 Qualcomm, Incorporated Channel estimation for OFDM communication systems
US6928062B2 (en) 2002-10-29 2005-08-09 Qualcomm, Incorporated Uplink pilot and signaling transmission in wireless communication systems
US7042857B2 (en) 2002-10-29 2006-05-09 Qualcom, Incorporated Uplink pilot and signaling transmission in wireless communication systems
JP4197482B2 (en) * 2002-11-13 2008-12-17 パナソニック株式会社 Base station transmission method, base station transmission apparatus, and communication terminal
WO2004049596A1 (en) * 2002-11-26 2004-06-10 Matsushita Electric Industrial Co., Ltd. Communication method, transmitter apparatus and receiver apparatus
US7161975B2 (en) * 2002-11-27 2007-01-09 International Business Machines Corporation Enhancing CDMA multiuser detection by constraining soft decisions
US20040105512A1 (en) * 2002-12-02 2004-06-03 Nokia Corporation Two step synchronization procedure for orthogonal frequency division multiplexing (OFDM) receivers
US7508798B2 (en) * 2002-12-16 2009-03-24 Nortel Networks Limited Virtual mimo communication system
US7151951B2 (en) 2002-12-23 2006-12-19 Telefonktiebolaget Lm Ericsson (Publ) Using beamforming and closed loop transmit diversity in a multi-beam antenna system
US7352688B1 (en) 2002-12-31 2008-04-01 Cisco Technology, Inc. High data rate wireless bridging
US7154960B2 (en) * 2002-12-31 2006-12-26 Lucent Technologies Inc. Method of determining the capacity of each transmitter antenna in a multiple input/multiple output (MIMO) wireless system
US7280467B2 (en) * 2003-01-07 2007-10-09 Qualcomm Incorporated Pilot transmission schemes for wireless multi-carrier communication systems
US7277493B2 (en) * 2003-01-28 2007-10-02 Agere Systems Inc. Equalization in orthogonal frequency domain multiplexing
JP4413540B2 (en) * 2003-01-31 2010-02-10 株式会社エヌ・ティ・ティ・ドコモ Multi-input multi-output propagation path signal transmission apparatus and receiving station
US7058367B1 (en) 2003-01-31 2006-06-06 At&T Corp. Rate-adaptive methods for communicating over multiple input/multiple output wireless systems
US7813440B2 (en) 2003-01-31 2010-10-12 Ntt Docomo, Inc. Multiple-output multiple-input (MIMO) communication system, MIMO receiver and MIMO receiving method
IL154459A0 (en) * 2003-02-13 2003-09-17 Witcom Ltd Wireless network with intensive frequency reuse
US7095790B2 (en) * 2003-02-25 2006-08-22 Qualcomm, Incorporated Transmission schemes for multi-antenna communication systems utilizing multi-carrier modulation
US8289836B2 (en) * 2003-02-27 2012-10-16 Intel Corporation Apparatus and associated methods to introduce diversity in a multicarrier communication channel
US8185075B2 (en) 2003-03-17 2012-05-22 Broadcom Corporation System and method for channel bonding in multiple antenna communication systems
US7391832B2 (en) * 2003-03-17 2008-06-24 Broadcom Corporation System and method for channel bonding in multiple antenna communication systems
US7936760B2 (en) * 2003-03-18 2011-05-03 Nokia Corporation Method, communications network arrangement, communications network server, terminal, and software means for selecting and changing operating modes for packet-switched voice connection
GB0307471D0 (en) * 2003-04-01 2003-05-07 Qinetiq Ltd Signal Processing apparatus and method
US7099678B2 (en) 2003-04-10 2006-08-29 Ipr Licensing, Inc. System and method for transmit weight computation for vector beamforming radio communication
US7916803B2 (en) 2003-04-10 2011-03-29 Qualcomm Incorporated Modified preamble structure for IEEE 802.11a extensions to allow for coexistence and interoperability between 802.11a devices and higher data rate, MIMO or otherwise extended devices
US8743837B2 (en) * 2003-04-10 2014-06-03 Qualcomm Incorporated Modified preamble structure for IEEE 802.11A extensions to allow for coexistence and interoperability between 802.11A devices and higher data rate, MIMO or otherwise extended devices
US7310537B2 (en) * 2003-04-25 2007-12-18 Nokia Corporation Communication on multiple beams between stations
KR100942645B1 (en) 2003-04-29 2010-02-17 엘지전자 주식회사 Method for transmitting signal in mobile communication system
ES2220208A1 (en) * 2003-05-06 2004-12-01 Diseño De Sistemas En Silicio, S.A. Method for the spectral configuration of signals modulated by means of orthogonal frequency division multiplexing (ofdm) for an electrical network
US7385617B2 (en) 2003-05-07 2008-06-10 Illinois Institute Of Technology Methods for multi-user broadband wireless channel estimation
US7177297B2 (en) * 2003-05-12 2007-02-13 Qualcomm Incorporated Fast frequency hopping with a code division multiplexed pilot in an OFDMA system
CN1883137B (en) * 2003-05-12 2012-11-21 高通股份有限公司 Fast frequency hopping with a code division multiplexed pilot in an OFDMA system
US6944142B2 (en) * 2003-05-13 2005-09-13 Interdigital Technology Corporation Method for soft and softer handover in time division duplex code division multiple access (TDD-CDMA) networks
US7606316B1 (en) 2003-05-14 2009-10-20 Marvell International Ltd. MIMO-OFDM preamble for channel estimation
US7079870B2 (en) * 2003-06-09 2006-07-18 Ipr Licensing, Inc. Compensation techniques for group delay effects in transmit beamforming radio communication
WO2005006638A2 (en) * 2003-06-18 2005-01-20 University Of Florida Wireless lan compatible multi-input multi-output system
WO2005006699A1 (en) 2003-06-30 2005-01-20 Agere Systems Inc. Methods and apparatus for backwards compatible communication in a multiple antenna communication system using fdm-based preamble structures
US8014267B2 (en) 2003-06-30 2011-09-06 Agere Systems Inc. Methods and apparatus for backwards compatible communication in a multiple input multiple output communication system with lower order receivers
US9325532B2 (en) * 2003-06-30 2016-04-26 Avago Technologies General Ip (Singapore) Pte. Ltd. Method and apparatus for communicating symbols in a multiple input multiple output communication system using interleaved subcarriers across a plurality of antennas
CN1809980B (en) * 2003-06-30 2010-12-15 松下电器产业株式会社 Transmission method, transmission apparatus and communication system
JP4536435B2 (en) 2003-06-30 2010-09-01 パナソニック株式会社 Transmission method and transmission apparatus
KR100918764B1 (en) * 2003-07-15 2009-09-24 삼성전자주식회사 Apparatus and method for transmitting/receiving a preamble sequence in an orthogonal frequency division multiplexing communication system using a plurality of transmission antennas
JP4546177B2 (en) 2003-07-28 2010-09-15 パナソニック株式会社 Wireless communication apparatus and wireless communication method
US7394858B2 (en) * 2003-08-08 2008-07-01 Intel Corporation Systems and methods for adaptive bit loading in a multiple antenna orthogonal frequency division multiplexed communication system
US6917311B2 (en) * 2003-08-11 2005-07-12 Texas Instruments Incorporated Orthogonal preamble encoder, method of encoding orthogonal preambles and multiple-input, multiple-output communication system employing the same
US7305055B1 (en) * 2003-08-18 2007-12-04 Qualcomm Incorporated Search-efficient MIMO trellis decoder
US7065144B2 (en) 2003-08-27 2006-06-20 Qualcomm Incorporated Frequency-independent spatial processing for wideband MISO and MIMO systems
EP1511212B1 (en) * 2003-08-29 2007-03-07 Mitsubishi Electric Information Technology Centre Europe B.V. Method for transmitting optimally interleaved data in a MIMO telecommunication system
US8509051B2 (en) 2003-09-02 2013-08-13 Qualcomm Incorporated Multiplexing and transmission of multiple data streams in a wireless multi-carrier communication system
US8599764B2 (en) 2003-09-02 2013-12-03 Qualcomm Incorporated Transmission of overhead information for reception of multiple data streams
US7221680B2 (en) 2003-09-02 2007-05-22 Qualcomm Incorporated Multiplexing and transmission of multiple data streams in a wireless multi-carrier communication system
US20050047517A1 (en) * 2003-09-03 2005-03-03 Georgios Giannakis B. Adaptive modulation for multi-antenna transmissions with partial channel knowledge
US7142866B2 (en) * 2003-09-09 2006-11-28 Harris Corporation Load leveling in mobile ad-hoc networks to support end-to-end delay reduction, QoS and energy leveling
US7394826B2 (en) * 2003-09-09 2008-07-01 Harris Corporation Mobile ad hoc network (MANET) providing quality-of-service (QoS) based unicast and multicast features
US7079552B2 (en) * 2003-09-09 2006-07-18 Harris Corporation Mobile ad hoc network (MANET) with quality-of-service (QoS) protocol hierarchy and related methods
US20050053007A1 (en) * 2003-09-09 2005-03-10 Harris Corporation Route selection in mobile ad-hoc networks based on traffic state information
US7085290B2 (en) * 2003-09-09 2006-08-01 Harris Corporation Mobile ad hoc network (MANET) providing connectivity enhancement features and related methods
US7068605B2 (en) 2003-09-09 2006-06-27 Harris Corporation Mobile ad hoc network (MANET) providing interference reduction features and related methods
US7769097B2 (en) * 2003-09-15 2010-08-03 Intel Corporation Methods and apparatus to control transmission of a multicarrier wireless communication channel through multiple antennas
US7418042B2 (en) * 2003-09-17 2008-08-26 Atheros Communications, Inc. Repetition coding for a wireless system
US7724838B2 (en) * 2003-09-25 2010-05-25 Qualcomm Incorporated Hierarchical coding with multiple antennas in a wireless communication system
KR20050030509A (en) * 2003-09-26 2005-03-30 삼성전자주식회사 Method for selecting access network in heterogeneous network system
US8462817B2 (en) 2003-10-15 2013-06-11 Qualcomm Incorporated Method, apparatus, and system for multiplexing protocol data units
US9226308B2 (en) 2003-10-15 2015-12-29 Qualcomm Incorporated Method, apparatus, and system for medium access control
US8233462B2 (en) 2003-10-15 2012-07-31 Qualcomm Incorporated High speed media access control and direct link protocol
US8842657B2 (en) 2003-10-15 2014-09-23 Qualcomm Incorporated High speed media access control with legacy system interoperability
US8284752B2 (en) 2003-10-15 2012-10-09 Qualcomm Incorporated Method, apparatus, and system for medium access control
US8483105B2 (en) 2003-10-15 2013-07-09 Qualcomm Incorporated High speed media access control
US8472473B2 (en) 2003-10-15 2013-06-25 Qualcomm Incorporated Wireless LAN protocol stack
US7242722B2 (en) * 2003-10-17 2007-07-10 Motorola, Inc. Method and apparatus for transmission and reception within an OFDM communication system
US8526412B2 (en) * 2003-10-24 2013-09-03 Qualcomm Incorporated Frequency division multiplexing of multiple data streams in a wireless multi-carrier communication system
US7660275B2 (en) 2003-10-24 2010-02-09 Qualcomm Incorporated Local and wide-area transmissions in a wireless broadcast network
US7616698B2 (en) 2003-11-04 2009-11-10 Atheros Communications, Inc. Multiple-input multiple output system and method
KR100975720B1 (en) 2003-11-13 2010-08-12 삼성전자주식회사 Method and system for dynamic channel assignment and assignment of pilot channel in mimo-ofdm/ sdm system
KR100891806B1 (en) * 2003-11-26 2009-04-07 삼성전자주식회사 Apparatus for channel allocaction adaptively by channel estimation in orthogonal frequency division multiple access system and the method thereof
US9473269B2 (en) 2003-12-01 2016-10-18 Qualcomm Incorporated Method and apparatus for providing an efficient control channel structure in a wireless communication system
US7145940B2 (en) 2003-12-05 2006-12-05 Qualcomm Incorporated Pilot transmission schemes for a multi-antenna system
US8983467B2 (en) * 2003-12-09 2015-03-17 Lsi Corporation Method and apparatus for access point selection using channel correlation in a wireless communication system
KR101163225B1 (en) * 2003-12-11 2012-07-05 엘지전자 주식회사 Method for transmitting control signal in multiple antenna system
US8204149B2 (en) 2003-12-17 2012-06-19 Qualcomm Incorporated Spatial spreading in a multi-antenna communication system
US7302009B2 (en) * 2003-12-17 2007-11-27 Qualcomm Incorporated Broadcast transmission with spatial spreading in a multi-antenna communication system
KR100587417B1 (en) * 2003-12-22 2006-06-08 한국전자통신연구원 Apparatus for adatively transmitting and receiving in wireless communication system using frequency division multiplexing
JP4780298B2 (en) * 2003-12-24 2011-09-28 日本電気株式会社 Wireless communication system, wireless communication apparatus, and resource allocation method used therefor
JP4212548B2 (en) 2003-12-26 2009-01-21 株式会社東芝 Wireless transmission device, wireless reception device, wireless transmission method, and wireless reception method
JP3968343B2 (en) 2003-12-26 2007-08-29 松下電器産業株式会社 Radio transmission apparatus and radio transmission method
US7885178B2 (en) * 2003-12-29 2011-02-08 Intel Corporation Quasi-parallel multichannel receivers for wideband orthogonal frequency division multiplexed communications and associated methods
CN100372257C (en) * 2003-12-31 2008-02-27 中国科学技术大学 Method of power control based on signal interference ratio in multi-antenna system
US7336746B2 (en) * 2004-12-09 2008-02-26 Qualcomm Incorporated Data transmission with spatial spreading in a MIMO communication system
JP4130191B2 (en) 2004-01-28 2008-08-06 三洋電機株式会社 Transmitter
US8611283B2 (en) 2004-01-28 2013-12-17 Qualcomm Incorporated Method and apparatus of using a single channel to provide acknowledgement and assignment messages
WO2005081439A1 (en) 2004-02-13 2005-09-01 Neocific, Inc. Methods and apparatus for multi-carrier communication systems with adaptive transmission and feedback
US8903440B2 (en) 2004-01-29 2014-12-02 Qualcomm Incorporated Distributed hierarchical scheduling in an ad hoc network
US7818018B2 (en) 2004-01-29 2010-10-19 Qualcomm Incorporated Distributed hierarchical scheduling in an AD hoc network
JP3923050B2 (en) * 2004-01-30 2007-05-30 松下電器産業株式会社 Transmission / reception apparatus and transmission / reception method
US7423989B2 (en) * 2004-02-13 2008-09-09 Broadcom Corporation Preamble formats for MIMO wireless communications
SE0400370D0 (en) * 2004-02-13 2004-02-13 Ericsson Telefon Ab L M Adaptive MIMO architecture
KR100678167B1 (en) 2004-02-17 2007-02-02 삼성전자주식회사 Apparatus and method for transmitting and receiving data in multiuser multiple-input multiple-out system
US8169889B2 (en) * 2004-02-18 2012-05-01 Qualcomm Incorporated Transmit diversity and spatial spreading for an OFDM-based multi-antenna communication system
US20050180312A1 (en) * 2004-02-18 2005-08-18 Walton J. R. Transmit diversity and spatial spreading for an OFDM-based multi-antenna communication system
TW200529605A (en) * 2004-02-20 2005-09-01 Airgo Networks Inc Adaptive packet detection for detecting packets in a wireless medium
US7630349B2 (en) * 2004-03-05 2009-12-08 Ramot At Tel-Aviv University Ltd. Antenna division multiple access
US8045638B2 (en) * 2004-03-05 2011-10-25 Telefonaktiebolaget Lm Ericsson (Publ) Method and apparatus for impairment correlation estimation in a wireless communication receiver
US7742533B2 (en) 2004-03-12 2010-06-22 Kabushiki Kaisha Toshiba OFDM signal transmission method and apparatus
CN103036844B (en) * 2004-03-15 2017-11-24 苹果公司 Pilot design for the ofdm system with four transmitting antennas
US8315271B2 (en) 2004-03-26 2012-11-20 Qualcomm Incorporated Method and apparatus for an ad-hoc wireless communications system
US9312929B2 (en) 2004-04-02 2016-04-12 Rearden, Llc System and methods to compensate for Doppler effects in multi-user (MU) multiple antenna systems (MAS)
US10277290B2 (en) 2004-04-02 2019-04-30 Rearden, Llc Systems and methods to exploit areas of coherence in wireless systems
US10425134B2 (en) 2004-04-02 2019-09-24 Rearden, Llc System and methods for planned evolution and obsolescence of multiuser spectrum
US10187133B2 (en) * 2004-04-02 2019-01-22 Rearden, Llc System and method for power control and antenna grouping in a distributed-input-distributed-output (DIDO) network
US8654815B1 (en) 2004-04-02 2014-02-18 Rearden, Llc System and method for distributed antenna wireless communications
US7711030B2 (en) * 2004-07-30 2010-05-04 Rearden, Llc System and method for spatial-multiplexed tropospheric scatter communications
US7885354B2 (en) * 2004-04-02 2011-02-08 Rearden, Llc System and method for enhancing near vertical incidence skywave (“NVIS”) communication using space-time coding
US8170081B2 (en) * 2004-04-02 2012-05-01 Rearden, LLC. System and method for adjusting DIDO interference cancellation based on signal strength measurements
US7418053B2 (en) 2004-07-30 2008-08-26 Rearden, Llc System and method for distributed input-distributed output wireless communications
US8160121B2 (en) * 2007-08-20 2012-04-17 Rearden, Llc System and method for distributed input-distributed output wireless communications
US9819403B2 (en) 2004-04-02 2017-11-14 Rearden, Llc System and method for managing handoff of a client between different distributed-input-distributed-output (DIDO) networks based on detected velocity of the client
US10749582B2 (en) 2004-04-02 2020-08-18 Rearden, Llc Systems and methods to coordinate transmissions in distributed wireless systems via user clustering
US8542763B2 (en) * 2004-04-02 2013-09-24 Rearden, Llc Systems and methods to coordinate transmissions in distributed wireless systems via user clustering
US7633994B2 (en) 2004-07-30 2009-12-15 Rearden, LLC. System and method for distributed input-distributed output wireless communications
US10886979B2 (en) * 2004-04-02 2021-01-05 Rearden, Llc System and method for link adaptation in DIDO multicarrier systems
US8571086B2 (en) * 2004-04-02 2013-10-29 Rearden, Llc System and method for DIDO precoding interpolation in multicarrier systems
US7636381B2 (en) * 2004-07-30 2009-12-22 Rearden, Llc System and method for distributed input-distributed output wireless communications
US10985811B2 (en) 2004-04-02 2021-04-20 Rearden, Llc System and method for distributed antenna wireless communications
US11451275B2 (en) 2004-04-02 2022-09-20 Rearden, Llc System and method for distributed antenna wireless communications
US10200094B2 (en) * 2004-04-02 2019-02-05 Rearden, Llc Interference management, handoff, power control and link adaptation in distributed-input distributed-output (DIDO) communication systems
US11309943B2 (en) 2004-04-02 2022-04-19 Rearden, Llc System and methods for planned evolution and obsolescence of multiuser spectrum
US9826537B2 (en) * 2004-04-02 2017-11-21 Rearden, Llc System and method for managing inter-cluster handoff of clients which traverse multiple DIDO clusters
US11394436B2 (en) * 2004-04-02 2022-07-19 Rearden, Llc System and method for distributed antenna wireless communications
US7599420B2 (en) * 2004-07-30 2009-10-06 Rearden, Llc System and method for distributed input distributed output wireless communications
WO2005099124A1 (en) * 2004-04-07 2005-10-20 Lg Electronics Inc. Method for transmitting and receiving data signal in mimo system
ATE556493T1 (en) * 2004-04-07 2012-05-15 Lg Electronics Inc TRANSMISSION METHOD OF A DOWNWARD CONTROL SIGNAL FOR A MIMO SYSTEM
KR100620914B1 (en) * 2004-04-07 2006-09-13 삼성전자주식회사 Apparatus and method for switching between amc mode and diversity mode in broadband wireless communication system
ES2667012T3 (en) * 2004-05-04 2018-05-09 Sony Corporation Center sequence assignments for MIMO transmissions
US7564814B2 (en) 2004-05-07 2009-07-21 Qualcomm, Incorporated Transmission mode and rate selection for a wireless communication system
US8923785B2 (en) 2004-05-07 2014-12-30 Qualcomm Incorporated Continuous beamforming for a MIMO-OFDM system
US8285226B2 (en) * 2004-05-07 2012-10-09 Qualcomm Incorporated Steering diversity for an OFDM-based multi-antenna communication system
US20050265225A1 (en) * 2004-05-11 2005-12-01 Orion Microelectronics Corporation MIMO system and mode table
US7665063B1 (en) 2004-05-26 2010-02-16 Pegasystems, Inc. Integration of declarative rule-based processing with procedural programming
HUE031812T2 (en) * 2004-05-27 2017-08-28 Qualcomm Inc Modified preamble structure for ieee 802.11a extensions to allow for coexistence and interoperability between 802.11a devices and higher data rate, mimo or otherwise extended devices
KR20060046335A (en) * 2004-06-01 2006-05-17 삼성전자주식회사 Method and apparatus for channel state feedback using arithmetic coding
US8401018B2 (en) * 2004-06-02 2013-03-19 Qualcomm Incorporated Method and apparatus for scheduling in a wireless network
KR20050118031A (en) * 2004-06-12 2005-12-15 삼성전자주식회사 Apparatus and method for efficient transmission broadcasting channel utilizing cyclic delay diversity
EP3528575B1 (en) 2004-06-22 2020-12-16 Apple Inc. Enabling feedback in wireless communication networks
US7961696B2 (en) 2004-06-24 2011-06-14 Nortel Networks Limited Preambles in OFDMA system
US7570696B2 (en) * 2004-06-25 2009-08-04 Intel Corporation Multiple input multiple output multicarrier communication system and methods with quantized beamforming feedback
US20060008021A1 (en) * 2004-06-30 2006-01-12 Nokia Corporation Reduction of self-interference for a high symbol rate non-orthogonal matrix modulation
US7110463B2 (en) 2004-06-30 2006-09-19 Qualcomm, Incorporated Efficient computation of spatial filter matrices for steering transmit diversity in a MIMO communication system
CN1998176B (en) * 2004-07-01 2011-06-15 高通股份有限公司 Advanced MIMO interleaving method and system
US8588326B2 (en) * 2004-07-07 2013-11-19 Apple Inc. System and method for mapping symbols for MIMO transmission
US7978649B2 (en) 2004-07-15 2011-07-12 Qualcomm, Incorporated Unified MIMO transmission and reception
US8085875B2 (en) * 2004-07-16 2011-12-27 Qualcomm Incorporated Incremental pilot insertion for channnel and interference estimation
US8000221B2 (en) * 2004-07-20 2011-08-16 Qualcomm, Incorporated Adaptive pilot insertion for a MIMO-OFDM system
US9148256B2 (en) 2004-07-21 2015-09-29 Qualcomm Incorporated Performance based rank prediction for MIMO design
US9137822B2 (en) 2004-07-21 2015-09-15 Qualcomm Incorporated Efficient signaling over access channel
US8891349B2 (en) 2004-07-23 2014-11-18 Qualcomm Incorporated Method of optimizing portions of a frame
US9685997B2 (en) 2007-08-20 2017-06-20 Rearden, Llc Systems and methods to enhance spatial diversity in distributed-input distributed-output wireless systems
US7499393B2 (en) * 2004-08-11 2009-03-03 Interdigital Technology Corporation Per stream rate control (PSRC) for improving system efficiency in OFDM-MIMO communication systems
US8270512B2 (en) 2004-08-12 2012-09-18 Interdigital Technology Corporation Method and apparatus for subcarrier and antenna selection in MIMO-OFDM system
BRPI0515010A (en) 2004-08-12 2008-07-01 Interdigital Tech Corp method and apparatus for implementing frequency block coding
SG155203A1 (en) * 2004-08-13 2009-09-30 Agency Science Tech & Res Method for determining a residual frequency offset, communication system, method for transmitting a message, transmitter, method for processing a message and receiver
US7978778B2 (en) * 2004-09-03 2011-07-12 Qualcomm, Incorporated Receiver structures for spatial spreading with space-time or space-frequency transmit diversity
US7894548B2 (en) * 2004-09-03 2011-02-22 Qualcomm Incorporated Spatial spreading with space-time and space-frequency transmit diversity schemes for a wireless communication system
US7477633B2 (en) * 2004-09-09 2009-01-13 Agere Systems Inc. Method and apparatus for varying the number of pilot tones in a multiple antenna communication system
KR100643280B1 (en) * 2004-09-24 2006-11-10 삼성전자주식회사 Apparatus and method for managing sub channels dynamically
EP2323305A3 (en) 2004-09-27 2012-08-15 Sharp Kabushiki Kaisha Radio transmission device
US7715845B2 (en) 2004-10-14 2010-05-11 Qualcomm Incorporated Tone hopping methods and apparatus
US7379446B2 (en) * 2004-10-14 2008-05-27 Qualcomm Incorporated Enhanced beacon signaling method and apparatus
EP2427011B1 (en) 2004-10-15 2014-08-27 Apple Inc. Communication Resource Allocation Methods
KR101115129B1 (en) 2004-10-20 2012-03-13 콸콤 인코포레이티드 A method of mult-frequency band operation in a wireless network
US7983298B2 (en) 2004-10-20 2011-07-19 Qualcomm Incorporated Multiple frequency band operation in wireless networks
US7239659B2 (en) * 2004-11-04 2007-07-03 Motorola, Inc. Method and apparatus for channel feedback
KR100735231B1 (en) 2004-11-11 2007-07-03 삼성전자주식회사 Method and apparatus for arranging pilot tone in mobile communication system
CN101036334B (en) * 2004-11-12 2012-12-05 三洋电机株式会社 Transmitting and receiving method, and radio apparatus utilizing the same
JP4065276B2 (en) * 2004-11-12 2008-03-19 三洋電機株式会社 Transmission method and wireless device using the same
US8130855B2 (en) * 2004-11-12 2012-03-06 Interdigital Technology Corporation Method and apparatus for combining space-frequency block coding, spatial multiplexing and beamforming in a MIMO-OFDM system
US7649861B2 (en) * 2004-11-30 2010-01-19 Intel Corporation Multiple antenna multicarrier communication system and method with reduced mobile-station processing
US7822128B2 (en) * 2004-12-03 2010-10-26 Intel Corporation Multiple antenna multicarrier transmitter and method for adaptive beamforming with transmit-power normalization
US7573851B2 (en) 2004-12-07 2009-08-11 Adaptix, Inc. Method and system for switching antenna and channel assignments in broadband wireless networks
US20060120442A1 (en) * 2004-12-08 2006-06-08 Melsa Peter J System and method to determine loop characteristics
ATE476028T1 (en) * 2004-12-13 2010-08-15 Mitsubishi Electric Corp METHOD, SYSTEM AND DEVICE FOR EVEN DISTRIBUTED DATA TRANSMISSION IN MIMO TRANSMISSION SYSTEMS
CN100407862C (en) * 2004-12-17 2008-07-30 华为技术有限公司 Method for realizing intercell soft switching in OFDM system
US8831115B2 (en) 2004-12-22 2014-09-09 Qualcomm Incorporated MC-CDMA multiplexing in an orthogonal uplink
US8238923B2 (en) 2004-12-22 2012-08-07 Qualcomm Incorporated Method of using shared resources in a communication system
US20060142051A1 (en) * 2004-12-28 2006-06-29 Nokia Corporation Method and apparatus to optimize the utilization of the carriers in a flexible multi-carrier system
US7542515B2 (en) * 2004-12-29 2009-06-02 Intel Corporation Training symbol format for adaptively power loaded MIMO
KR100950656B1 (en) * 2005-01-11 2010-04-02 삼성전자주식회사 Apparatus and method for transmitting feedback information in a broadband wireless access communication system
JP4541165B2 (en) * 2005-01-13 2010-09-08 富士通株式会社 Wireless communication system and transmitter
KR100973634B1 (en) * 2005-01-14 2010-08-02 파이핑 핫 네트웍스 리미티드 Dual payload and adaptive modulati0n
US7525988B2 (en) 2005-01-17 2009-04-28 Broadcom Corporation Method and system for rate selection algorithm to maximize throughput in closed loop multiple input multiple output (MIMO) wireless local area network (WLAN) system
US7522555B2 (en) 2005-01-21 2009-04-21 Intel Corporation Techniques to manage channel prediction
US8335704B2 (en) 2005-01-28 2012-12-18 Pegasystems Inc. Methods and apparatus for work management and routing
US8811273B2 (en) 2005-02-22 2014-08-19 Texas Instruments Incorporated Turbo HSDPA system
JP4971174B2 (en) * 2005-02-25 2012-07-11 京セラ株式会社 Communications system
KR101088933B1 (en) 2005-02-25 2011-12-01 교세라 가부시키가이샤 Communications systems
US9246560B2 (en) 2005-03-10 2016-01-26 Qualcomm Incorporated Systems and methods for beamforming and rate control in a multi-input multi-output communication systems
US9154211B2 (en) 2005-03-11 2015-10-06 Qualcomm Incorporated Systems and methods for beamforming feedback in multi antenna communication systems
US7742444B2 (en) 2005-03-15 2010-06-22 Qualcomm Incorporated Multiple other sector information combining for power control in a wireless communication system
US8446892B2 (en) 2005-03-16 2013-05-21 Qualcomm Incorporated Channel structures for a quasi-orthogonal multiple-access communication system
US9143305B2 (en) 2005-03-17 2015-09-22 Qualcomm Incorporated Pilot signal transmission for an orthogonal frequency division wireless communication system
US9461859B2 (en) 2005-03-17 2016-10-04 Qualcomm Incorporated Pilot signal transmission for an orthogonal frequency division wireless communication system
US9520972B2 (en) 2005-03-17 2016-12-13 Qualcomm Incorporated Pilot signal transmission for an orthogonal frequency division wireless communication system
US8320499B2 (en) * 2005-03-18 2012-11-27 Qualcomm Incorporated Dynamic space-time coding for a communication system
US7668266B2 (en) * 2005-03-18 2010-02-23 Georgia Tech Research Corporation Crest factor reduction in OFDM using blind selected pilot tone modulation
US8693383B2 (en) 2005-03-29 2014-04-08 Qualcomm Incorporated Method and apparatus for high rate data transmission in wireless communication
CN101156329A (en) * 2005-03-30 2008-04-02 松下电器产业株式会社 Wireless communication method, wireless communication system, and wireless communication device
US9184870B2 (en) 2005-04-01 2015-11-10 Qualcomm Incorporated Systems and methods for control channel signaling
US8830846B2 (en) 2005-04-04 2014-09-09 Interdigital Technology Corporation Method and system for improving responsiveness in exchanging frames in a wireless local area network
US9036538B2 (en) 2005-04-19 2015-05-19 Qualcomm Incorporated Frequency hopping design for single carrier FDMA systems
US9408220B2 (en) 2005-04-19 2016-08-02 Qualcomm Incorporated Channel quality reporting for adaptive sectorization
US7502408B2 (en) * 2005-04-21 2009-03-10 Broadcom Corporation RF transceiver having adaptive modulation
JP4557160B2 (en) * 2005-04-28 2010-10-06 日本電気株式会社 Wireless communication system, wireless communication device, receiving device, and wireless communication method
US7466749B2 (en) 2005-05-12 2008-12-16 Qualcomm Incorporated Rate selection with margin sharing
KR101124932B1 (en) 2005-05-30 2012-03-28 삼성전자주식회사 Apparatus and method for transmitting/receiving a data in mobile communication system with array antennas
US8565194B2 (en) 2005-10-27 2013-10-22 Qualcomm Incorporated Puncturing signaling channel for a wireless communication system
US8611284B2 (en) 2005-05-31 2013-12-17 Qualcomm Incorporated Use of supplemental assignments to decrement resources
US8879511B2 (en) 2005-10-27 2014-11-04 Qualcomm Incorporated Assignment acknowledgement for a wireless communication system
US8462859B2 (en) 2005-06-01 2013-06-11 Qualcomm Incorporated Sphere decoding apparatus
US9179319B2 (en) 2005-06-16 2015-11-03 Qualcomm Incorporated Adaptive sectorization in cellular systems
US8599945B2 (en) 2005-06-16 2013-12-03 Qualcomm Incorporated Robust rank prediction for a MIMO system
US9055552B2 (en) 2005-06-16 2015-06-09 Qualcomm Incorporated Quick paging channel with reduced probability of missed page
US8358714B2 (en) 2005-06-16 2013-01-22 Qualcomm Incorporated Coding and modulation for multiple data streams in a communication system
US8750908B2 (en) 2005-06-16 2014-06-10 Qualcomm Incorporated Quick paging channel with reduced probability of missed page
US7660229B2 (en) * 2005-06-20 2010-02-09 Texas Instruments Incorporated Pilot design and channel estimation
WO2007002252A2 (en) * 2005-06-22 2007-01-04 Shattil, Steve Systems and method for generating a common preamble for use in wireless communication system
WO2007015292A1 (en) 2005-08-02 2007-02-08 Mitsubishi Denki Kabushiki Kaisha Communication device, and radio communication system
US8885628B2 (en) 2005-08-08 2014-11-11 Qualcomm Incorporated Code division multiplexing in a single-carrier frequency division multiple access system
CN1913508B (en) * 2005-08-08 2010-05-05 华为技术有限公司 Signal modulation method based on orthogonal frequency division multiplex and its modulation device
US8559295B2 (en) * 2005-08-15 2013-10-15 Motorola Mobility Llc Method and apparatus for pilot signal transmission
JP4951274B2 (en) * 2005-08-19 2012-06-13 韓國電子通信研究院 CHANNEL INFORMATION GENERATION APPARATUS AND METHOD, AND APPLICABLE TRANSMISSION APPARATUS AND METHOD THEREOF
US9209956B2 (en) 2005-08-22 2015-12-08 Qualcomm Incorporated Segment sensitive scheduling
US20070041457A1 (en) 2005-08-22 2007-02-22 Tamer Kadous Method and apparatus for providing antenna diversity in a wireless communication system
US8644292B2 (en) 2005-08-24 2014-02-04 Qualcomm Incorporated Varied transmission time intervals for wireless communication system
US9136974B2 (en) 2005-08-30 2015-09-15 Qualcomm Incorporated Precoding and SDMA support
JP2007067726A (en) * 2005-08-30 2007-03-15 Matsushita Electric Ind Co Ltd Radio repeater, radio repeating method, and radio repeating system
FI20055483A0 (en) * 2005-09-08 2005-09-08 Nokia Corp Data transmission system in wireless communication system
JP4768368B2 (en) 2005-09-09 2011-09-07 富士通株式会社 Wireless communication system, transmitter and receiver
US8600336B2 (en) 2005-09-12 2013-12-03 Qualcomm Incorporated Scheduling with reverse direction grant in wireless communication systems
JP3989512B2 (en) * 2005-09-15 2007-10-10 三洋電機株式会社 Wireless device
KR100995830B1 (en) * 2005-09-26 2010-11-23 삼성전자주식회사 System and method for transmitting and receiving data using channel state information in a mobile communication system
JP4504293B2 (en) * 2005-09-29 2010-07-14 株式会社東芝 Wireless communication apparatus, wireless communication system, and wireless communication method provided with multiple antennas
US7616610B2 (en) * 2005-10-04 2009-11-10 Motorola, Inc. Scheduling in wireless communication systems
CN101283526B (en) * 2005-10-07 2015-09-09 日本电气株式会社 MIMO wireless communication system and method used by mobile station and multiple base stations
US20090022098A1 (en) * 2005-10-21 2009-01-22 Robert Novak Multiplexing schemes for ofdma
DE102005051275A1 (en) * 2005-10-26 2007-05-03 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Information signals transmitting device for satellite system, has orthogonal frequency-division multiplexing control stage allocating different groups of carriers, which are emitted by spatial emitters, with different information
PT1941647E (en) 2005-10-27 2013-08-22 Qualcomm Inc Precoding for segment sensitive scheduling in wireless communication systems
US9144060B2 (en) 2005-10-27 2015-09-22 Qualcomm Incorporated Resource allocation for shared signaling channels
US8693405B2 (en) 2005-10-27 2014-04-08 Qualcomm Incorporated SDMA resource management
US8045512B2 (en) 2005-10-27 2011-10-25 Qualcomm Incorporated Scalable frequency band operation in wireless communication systems
US8477684B2 (en) 2005-10-27 2013-07-02 Qualcomm Incorporated Acknowledgement of control messages in a wireless communication system
WO2007050911A1 (en) 2005-10-27 2007-05-03 Qualcomm Incorporated A method and apparatus for transmitting and receiving access grant block over f-ssch in wireless communication system
US9225416B2 (en) 2005-10-27 2015-12-29 Qualcomm Incorporated Varied signaling channels for a reverse link in a wireless communication system
US8582509B2 (en) 2005-10-27 2013-11-12 Qualcomm Incorporated Scalable frequency band operation in wireless communication systems
US20090207790A1 (en) 2005-10-27 2009-08-20 Qualcomm Incorporated Method and apparatus for settingtuneawaystatus in an open state in wireless communication system
US9172453B2 (en) 2005-10-27 2015-10-27 Qualcomm Incorporated Method and apparatus for pre-coding frequency division duplexing system
US9225488B2 (en) 2005-10-27 2015-12-29 Qualcomm Incorporated Shared signaling channel
US9210651B2 (en) 2005-10-27 2015-12-08 Qualcomm Incorporated Method and apparatus for bootstraping information in a communication system
US9088384B2 (en) 2005-10-27 2015-07-21 Qualcomm Incorporated Pilot symbol transmission in wireless communication systems
KR100962765B1 (en) * 2005-10-31 2010-06-10 엘지전자 주식회사 Method for allocating uplink radio resources in mobile communication system
RU2411660C2 (en) 2005-10-31 2011-02-10 Эл Джи Электроникс Инк. Method to transfer and receive information on radio access in system of wireless mobile communication
AU2006309464B2 (en) 2005-10-31 2009-10-29 Lg Electronics Inc. Method for processing control information in a wireless mobile communication system
BRPI0618243A2 (en) * 2005-11-04 2011-08-23 Matsushita Electric Ind Co Ltd radio transmitter, radio receiver, wireless communication method and wireless communication system
JP2009515455A (en) * 2005-11-07 2009-04-09 エージェンシー フォー サイエンス,テクノロジー アンド リサーチ Method and system for transmitting a signal to a communication device in a cellular communication system
US8582548B2 (en) 2005-11-18 2013-11-12 Qualcomm Incorporated Frequency division multiple access schemes for wireless communication
KR100796008B1 (en) * 2005-12-13 2008-01-21 한국전자통신연구원 Transmitting apparatus and transmitting method of basestation, and receiving apparatus and communication method of terminal in mobile communication system
JP4615436B2 (en) * 2005-12-27 2011-01-19 シャープ株式会社 Wireless transmitter, wireless receiver, wireless communication system, wireless transmission method, and wireless reception method
KR100965668B1 (en) * 2006-01-17 2010-06-24 삼성전자주식회사 Method and system for transmitting/receiving data in a communication system
KR100938089B1 (en) * 2006-01-26 2010-01-21 삼성전자주식회사 Method for scheduling data traffic in wireless communication system
WO2007089110A2 (en) * 2006-02-01 2007-08-09 Lg Electronics Inc. A method of transmitting and receiving data using superposition modulation in a wireless communication system
JP4668080B2 (en) * 2006-02-02 2011-04-13 日本電信電話株式会社 Channel information feedback method and radio communication system
WO2007091317A1 (en) * 2006-02-08 2007-08-16 Fujitsu Limited Wireless communication system using multiantenna transmission technique, and multi-user scheduler applied thereto
GB2436414A (en) * 2006-02-20 2007-09-26 British Broadcasting Corp OFDM - MIMO radio frequency transmission system
KR101119455B1 (en) 2006-02-21 2012-03-20 퀄컴 인코포레이티드 Method and apparatus for supporting ofdm and cdma schemes
JP2007228029A (en) 2006-02-21 2007-09-06 Fujitsu Ltd Wireless communication system and receiving device
US8689025B2 (en) 2006-02-21 2014-04-01 Qualcomm Incorporated Reduced terminal power consumption via use of active hold state
US9461736B2 (en) 2006-02-21 2016-10-04 Qualcomm Incorporated Method and apparatus for sub-slot packets in wireless communication
US8077595B2 (en) 2006-02-21 2011-12-13 Qualcomm Incorporated Flexible time-frequency multiplexing structure for wireless communication
US7720030B2 (en) * 2006-02-28 2010-05-18 Intel Corporation Techniques for explicit feedback delay measurement
CN101395820A (en) 2006-02-28 2009-03-25 罗塔尼公司 Methods and apparatus for overlapping MIMO antenna physical sectors
US8781017B2 (en) 2006-02-28 2014-07-15 Intel Corporation Techniques for explicit feedback delay measurement
KR101260836B1 (en) * 2006-02-28 2013-05-06 삼성전자주식회사 Pre-coding method for providing diversity gain in an orthogonal frequency division multiplexing system and transmitting apparatus and method using the same
US7782806B2 (en) * 2006-03-09 2010-08-24 Qualcomm Incorporated Timing synchronization and channel estimation at a transition between local and wide area waveforms using a designated TDM pilot
EP1835777B1 (en) * 2006-03-17 2009-05-06 Nokia Siemens Networks Gmbh & Co. Kg Allocation of resources in a multicarrier radio communications system
US9130791B2 (en) 2006-03-20 2015-09-08 Qualcomm Incorporated Uplink channel estimation using a signaling channel
US8059609B2 (en) * 2006-03-20 2011-11-15 Qualcomm Incorporated Resource allocation to support single-user and multi-user MIMO transmission
US20070223614A1 (en) * 2006-03-23 2007-09-27 Ravi Kuchibhotla Common time frequency radio resource in wireless communication systems
US8014455B2 (en) * 2006-03-27 2011-09-06 Qualcomm Incorporated Feedback of differentially encoded channel state information for multiple-input multiple-output (MIMO) and subband scheduling in a wireless communication system
US8249607B2 (en) * 2006-03-29 2012-08-21 Motorola Mobility, Inc. Scheduling in wireless communication systems
US8924335B1 (en) 2006-03-30 2014-12-30 Pegasystems Inc. Rule-based user interface conformance methods
KR101231357B1 (en) * 2006-04-06 2013-02-07 엘지전자 주식회사 Channel status information feedback method and data transmission method for multiple antenna system
US8351405B2 (en) * 2006-07-14 2013-01-08 Qualcomm Incorporated Method and apparatus for signaling beacons in a communication system
US8543070B2 (en) * 2006-04-24 2013-09-24 Qualcomm Incorporated Reduced complexity beam-steered MIMO OFDM system
US7830977B2 (en) * 2006-05-01 2010-11-09 Intel Corporation Providing CQI feedback with common code rate to a transmitter station
US7751368B2 (en) * 2006-05-01 2010-07-06 Intel Corporation Providing CQI feedback to a transmitter station in a closed-loop MIMO system
CN101432986B (en) * 2006-05-01 2013-08-14 英特尔公司 Providing CQI feedback with common code rate to a transmitter station
US8290089B2 (en) 2006-05-22 2012-10-16 Qualcomm Incorporated Derivation and feedback of transmit steering matrix
US7974360B2 (en) * 2006-05-24 2011-07-05 Qualcomm Incorporated Multi input multi output (MIMO) orthogonal frequency division multiple access (OFDMA) communication system
GB2439367A (en) 2006-06-20 2007-12-27 Nec Corp Separate ACK/NACK channel from a control channel
EP1871017A1 (en) * 2006-06-23 2007-12-26 Mitsubishi Electric Information Technology Centre Europe B.V. Method and device for reporting, through a wireless network, a channel state information between a first telecommunication device and a second telecommunication device
DE602006004328D1 (en) * 2006-06-23 2009-01-29 Mitsubishi Electric Inf Tech Method and apparatus for determining channel state information to be transmitted from a first to a second telecommunication device
US7860147B2 (en) * 2006-08-16 2010-12-28 Harris Corporation Method of communicating and associated transmitter using coded orthogonal frequency division multiplexing (COFDM)
US7751488B2 (en) * 2006-08-16 2010-07-06 Harris Corporation System and method for communicating data using symbol-based randomized orthogonal frequency division multiplexing (OFDM)
US7813433B2 (en) * 2006-08-16 2010-10-12 Harris Corporation System and method for communicating data using symbol-based randomized orthogonal frequency division multiplexing (OFDM) with selected subcarriers turned on or off
US7649951B2 (en) * 2006-08-16 2010-01-19 Harris Corporation System and method for communicating data using symbol-based randomized orthogonal frequency division multiplexing (OFDM) with applied frequency domain spreading
US7903749B2 (en) * 2006-08-16 2011-03-08 Harris Corporation System and method for applying frequency domain spreading to multi-carrier communications signals
CN101632315B (en) * 2006-08-18 2013-01-23 Lg电子株式会社 Broadcast and multicast services (BCMCS) for orthogonal frequency division multiplexing (OFDM)-based mobile broadband wireless cellular systems
DE602006005668D1 (en) * 2006-09-15 2009-04-23 Ntt Docomo Inc Reduce pilot overhead in a wireless communication system with multiple transmit antennas
US8374650B2 (en) * 2006-09-27 2013-02-12 Apple, Inc. Methods for optimal collaborative MIMO-SDMA
US8073486B2 (en) * 2006-09-27 2011-12-06 Apple Inc. Methods for opportunistic multi-user beamforming in collaborative MIMO-SDMA
US8626104B2 (en) 2006-09-28 2014-01-07 Apple Inc. Generalized codebook design method for limited feedback systems
US7702029B2 (en) 2006-10-02 2010-04-20 Freescale Semiconductor, Inc. MIMO precoding enabling spatial multiplexing, power allocation and adaptive modulation and coding
JP4634362B2 (en) * 2006-12-11 2011-02-16 株式会社エヌ・ティ・ティ・ドコモ Mobile communication system, mobile terminal in mobile communication system, control program thereof, and synchronization establishment determination method in mobile communication system
KR100946928B1 (en) * 2006-12-12 2010-03-09 삼성전자주식회사 Apparatus and method for transmitting/receiving preamble signal and estimating a channel in an orthogonal frequency division multiplexing communication system using a multiple input multiple output scheme
US7978773B2 (en) * 2006-12-29 2011-07-12 Agere Systems Inc. Multi-channel receiver with improved AGC
US8073069B2 (en) 2007-01-05 2011-12-06 Apple Inc. Multi-user MIMO-SDMA for finite rate feedback systems
JP4729729B2 (en) * 2007-02-26 2011-07-20 学校法人 名城大学 Quality evaluation apparatus, receiving apparatus, quality evaluation method, and quality evaluation program
US20080212461A1 (en) * 2007-03-01 2008-09-04 Texas Instruments Incorporated Transform-based systems and methods for reconstructing steering matrices in a mimo-ofdm system
US8320352B2 (en) * 2007-03-02 2012-11-27 Qualcomm Incorporated Robust transmission scheme for wireless networks
US8250525B2 (en) 2007-03-02 2012-08-21 Pegasystems Inc. Proactive performance management for multi-user enterprise software systems
US20080225792A1 (en) * 2007-03-12 2008-09-18 Qualcomm Incorporated Multiplexing of feedback channels in a wireless communication system
US8020075B2 (en) 2007-03-16 2011-09-13 Apple Inc. Channel quality index feedback reduction for broadband systems
US7809074B2 (en) * 2007-03-16 2010-10-05 Freescale Semiconductor, Inc. Generalized reference signaling scheme for multi-user, multiple input, multiple output (MU-MIMO) using arbitrarily precoded reference signals
US7961807B2 (en) * 2007-03-16 2011-06-14 Freescale Semiconductor, Inc. Reference signaling scheme using compressed feedforward codebooks for multi-user, multiple input, multiple output (MU-MIMO) systems
US8369356B2 (en) * 2007-03-21 2013-02-05 Qualcomm Incorporated Dynamic management of receiver resources
KR100969753B1 (en) * 2007-03-26 2010-07-13 삼성전자주식회사 Apparatus and method for pre-coding in a wireless communication system using multi input multi output
WO2008120925A1 (en) 2007-03-29 2008-10-09 Lg Electronics Inc. Method of transmitting sounding reference signal in wireless communication system
US8131218B2 (en) * 2007-04-13 2012-03-06 General Dynamics C4 Systems, Inc. Methods and apparatus for wirelessly communicating signals that include embedded synchronization/pilot sequences
US7769357B2 (en) * 2007-04-25 2010-08-03 Agere Systems Inc. Multi-channel receiver with improved AGC
US7809343B2 (en) * 2007-04-25 2010-10-05 Agere Systems Inc. Multi-channel receiver with improved AGC
US8547986B2 (en) 2007-04-30 2013-10-01 Apple Inc. System and method for resource block-specific control signaling
US20080273452A1 (en) * 2007-05-04 2008-11-06 Farooq Khan Antenna mapping in a MIMO wireless communication system
GB2449470B (en) 2007-05-23 2011-06-29 British Broadcasting Corp OFDM-MIMO radio frequency transmission system
US7885176B2 (en) 2007-06-01 2011-02-08 Samsung Electronics Co., Ltd. Methods and apparatus for mapping modulation symbols to resources in OFDM systems
US8908632B2 (en) 2007-06-08 2014-12-09 Samsung Electronics Co., Ltd. Methods and apparatus for channel interleaving in OFDM systems
US8599819B2 (en) 2007-06-19 2013-12-03 Lg Electronics Inc. Method of transmitting sounding reference signal
JP4461162B2 (en) * 2007-07-02 2010-05-12 株式会社東芝 Terminal device
US20090022049A1 (en) * 2007-07-16 2009-01-22 Honeywell International Inc. Novel security enhancement structure for mimo wireless network
US8675743B2 (en) * 2007-08-03 2014-03-18 Apple Inc. Feedback scheduling to reduce feedback rates in MIMO systems
KR101397039B1 (en) 2007-08-14 2014-05-20 엘지전자 주식회사 Signal Transmission Method Using CDM Against The Effect Of Channel Estimation Error in Transmit Diversity System
EP3806365B1 (en) 2007-08-14 2022-10-05 Lg Electronics Inc. Method for acquiring resource region information for phich
US8014265B2 (en) * 2007-08-15 2011-09-06 Qualcomm Incorporated Eigen-beamforming for wireless communication systems
KR101507785B1 (en) 2007-08-16 2015-04-03 엘지전자 주식회사 A method for transmitting channel quality information in a MIMO (Multiple Input Multiple Output) system
KR101405974B1 (en) 2007-08-16 2014-06-27 엘지전자 주식회사 Methods for transmitting codewords in multiple input multiple output system
AU2016219618B2 (en) * 2007-08-20 2018-08-02 Rearden, Llc System and method for distributed input distributed output wireless communications
US8989155B2 (en) 2007-08-20 2015-03-24 Rearden, Llc Systems and methods for wireless backhaul in distributed-input distributed-output wireless systems
US8085653B2 (en) * 2007-09-08 2011-12-27 Intel Corporation Beamforming with nulling techniques for wireless communications networks
US8184726B2 (en) * 2007-09-10 2012-05-22 Industrial Technology Research Institute Method and apparatus for multi-rate control in a multi-channel communication system
US20100027704A1 (en) * 2007-09-10 2010-02-04 Industrial Technology Research Institute Method and Apparatus for Data Transmission Based on Signal Priority and Channel Reliability
CN101388699A (en) * 2007-09-12 2009-03-18 夏普株式会社 Information feedback method and system based on space, time and frequency domain, customer equipment and base station
US8077693B2 (en) 2007-09-19 2011-12-13 Samsung Electronics Co., Ltd. Resource remapping and regrouping in a wireless communication system
RU2454804C2 (en) * 2007-09-19 2012-06-27 Самсунг Электроникс Ко., Лтд. Methods and device for redistribution of resources and regrouping in wireless communication system
JP4687919B2 (en) * 2007-10-26 2011-05-25 Necアクセステクニカ株式会社 Power line communication apparatus, power line communication method, and power line communication program
CN101803228B (en) * 2007-10-26 2013-07-31 Lg电子株式会社 Method of transmitting antenna control signal
TW200926702A (en) * 2007-12-12 2009-06-16 Alcor Micro Corp Apparatus and method for measuring channel state information
EP2383920B1 (en) 2007-12-20 2014-07-30 Optis Wireless Technology, LLC Control channel signaling using a common signaling field for transport format and redundancy version
CN101471907A (en) * 2007-12-28 2009-07-01 三星电子株式会社 Pre-coding method of multi-input multi-output system and device using the method
KR101373951B1 (en) 2008-01-30 2014-03-13 엘지전자 주식회사 Method for transmitting precoding information in multiple antenna system
RU2490829C2 (en) * 2008-02-04 2013-08-20 Нокиа Сименс Нетуоркс Ой Mapping cyclic shift to channel index for ack/nack resource allocation
KR101543194B1 (en) 2008-02-28 2015-08-07 애플 인크. Communicating a feedback data structure containing information identifying coding to be applied on wirelessly communicated signaling
US8379752B2 (en) * 2008-03-19 2013-02-19 General Dynamics C4 Systems, Inc. Methods and apparatus for multiple-antenna communication of wireless signals with embedded synchronization/pilot sequences
US7978623B1 (en) 2008-03-22 2011-07-12 Freescale Semiconductor, Inc. Channel rank updates in multiple-input multiple-output communication systems
US8274921B2 (en) * 2008-04-01 2012-09-25 Harris Corporation System and method for communicating data using efficient fast fourier transform (FFT) for orthogonal frequency division multiplexing (OFDM)
US8229009B2 (en) 2008-04-01 2012-07-24 Harris Corporation System and method for communicating data using efficient fast fourier transform (FFT) for orthogonal frequency division multiplexing (OFDM) modulation
US8238454B2 (en) * 2008-04-01 2012-08-07 Harris Corporation System and method for communicating data using efficient fast fourier transform (FFT) for orthogonal frequency division multiplexing (OFDM) demodulation
US8331420B2 (en) * 2008-04-14 2012-12-11 General Dynamics C4 Systems, Inc. Methods and apparatus for multiple-antenna communication of wireless signals with embedded pilot signals
KR101531515B1 (en) 2008-07-04 2015-06-26 엘지전자 주식회사 Wireless communication system with multiple transmission antennas using pilot subcarrier allocation
JP4772838B2 (en) * 2008-08-01 2011-09-14 三菱電機株式会社 Wireless transmission device
US10481878B2 (en) 2008-10-09 2019-11-19 Objectstore, Inc. User interface apparatus and methods
KR101297877B1 (en) 2008-10-31 2013-08-20 인터디지탈 패튼 홀딩스, 인크 Method and apparatus for wireless transmissions using multiple uplink carriers
WO2010062051A2 (en) * 2008-11-02 2010-06-03 엘지전자 주식회사 Pre-coding method for spatial multiplexing in multiple input and output system
WO2010058911A2 (en) * 2008-11-23 2010-05-27 엘지전자주식회사 Method for transmitting reference signal in multiple antenna system
KR101582685B1 (en) * 2008-12-03 2016-01-06 엘지전자 주식회사 Apparatus and method of transmitting data using multiple antenna
US8665806B2 (en) 2008-12-09 2014-03-04 Motorola Mobility Llc Passive coordination in a closed loop multiple input multiple out put wireless communication system
KR101289944B1 (en) 2008-12-12 2013-07-26 엘지전자 주식회사 Method for channel estimation in very high throughput wireless local area network system and apparatus for the same
US20100202311A1 (en) * 2009-02-09 2010-08-12 Nokia Siemens Networks Oy Method and apparatus for providing channel state reporting
KR101589607B1 (en) * 2009-03-02 2016-01-29 삼성전자주식회사 Communication system having femto cell and communication terminal and method for communicating thereof
US8843435B1 (en) 2009-03-12 2014-09-23 Pegasystems Inc. Techniques for dynamic data processing
US8620334B2 (en) 2009-03-13 2013-12-31 Interdigital Patent Holdings, Inc. Method and apparatus for carrier assignment, configuration and switching for multicarrier wireless communications
US8468492B1 (en) 2009-03-30 2013-06-18 Pegasystems, Inc. System and method for creation and modification of software applications
US8923110B2 (en) * 2009-04-24 2014-12-30 Telefonaktiebolaget L M Ericsson (Publ) Channel state information reconstruction from sparse data
JP4803281B2 (en) * 2009-06-03 2011-10-26 カシオ計算機株式会社 Wireless communication apparatus and program
CA2763134C (en) 2009-06-26 2021-01-19 Hypres, Inc. System and method for controlling combined radio signals
WO2011021731A1 (en) * 2009-08-18 2011-02-24 Pantech Co., Ltd. Feedbacking channel information in wireless communication system
US8355466B2 (en) * 2009-09-25 2013-01-15 General Dynamics C4 Systems, Inc. Cancelling non-linear power amplifier induced distortion from a received signal by moving incorrectly estimated constellation points
US8744009B2 (en) * 2009-09-25 2014-06-03 General Dynamics C4 Systems, Inc. Reducing transmitter-to-receiver non-linear distortion at a transmitter prior to estimating and cancelling known non-linear distortion at a receiver
CN102687475B (en) * 2009-10-13 2015-08-05 骁阳网络有限公司 For method and the optic network parts of deal with data in optic network parts
US8434336B2 (en) * 2009-11-14 2013-05-07 Qualcomm Incorporated Method and apparatus for managing client initiated transmissions in multiple-user communication schemes
US8750266B2 (en) * 2009-11-25 2014-06-10 Alcatel Lucent Dual transmission for communication networks
KR101725553B1 (en) * 2010-04-01 2017-04-27 엘지전자 주식회사 Method of performing communication in wireless communication system and apparatus thereof
US9190718B2 (en) * 2010-05-08 2015-11-17 Maxtena Efficient front end and antenna implementation
US8406326B2 (en) * 2010-05-13 2013-03-26 Telefonaktiebolaget L M Ericsson (Publ) Exploiting channel time correlation to reduce channel state information feedback bitrate
KR101790505B1 (en) 2010-06-01 2017-11-21 주식회사 골드피크이노베이션즈 Apparatus and Method for allocating Channel State Information-Reference Signal dependent on Subframe Configuration in wireless communication
US9088393B2 (en) 2010-07-30 2015-07-21 Lg Electronics Inc. Method and apparatus for reporting channel state information of multi-channel in wireless local area network system
CN102404072B (en) 2010-09-08 2013-03-20 华为技术有限公司 Method for sending information bits, device thereof and system thereof
EP2617150B1 (en) * 2010-09-14 2020-07-01 Sony Corporation Communication device using spatial diversity, communications system and method
WO2012062221A1 (en) * 2010-11-11 2012-05-18 Mediatek Inc. Methods for configuring channel state information measurement in a communications system and communications apparatuses utilizing the same
US9119101B2 (en) 2010-12-17 2015-08-25 Samsung Electronics Co., Ltd. Apparatus and method for periodic channel state reporting in a wireless network
JP5223915B2 (en) * 2010-12-28 2013-06-26 富士通株式会社 Mobile communication system, communication method therefor, and transmission station
US8880487B1 (en) 2011-02-18 2014-11-04 Pegasystems Inc. Systems and methods for distributed rules processing
CN102938688B (en) * 2011-08-15 2015-05-27 上海贝尔股份有限公司 Method and device for channel measurement and feedback of multi-dimensional antenna array
CN103117784A (en) * 2011-11-17 2013-05-22 鼎桥通信技术有限公司 Method and system improving group descending covering
US9195936B1 (en) 2011-12-30 2015-11-24 Pegasystems Inc. System and method for updating or modifying an application without manual coding
US9094872B2 (en) * 2012-01-24 2015-07-28 International Business Machines Corporation Enhanced resource management for a network system
WO2014021859A1 (en) * 2012-07-31 2014-02-06 Hewlett-Packard Development Company, L.P. Management of modulation and coding scheme implementation
US11189917B2 (en) 2014-04-16 2021-11-30 Rearden, Llc Systems and methods for distributing radioheads
US10194346B2 (en) 2012-11-26 2019-01-29 Rearden, Llc Systems and methods for exploiting inter-cell multiplexing gain in wireless cellular systems via distributed input distributed output technology
US11190947B2 (en) 2014-04-16 2021-11-30 Rearden, Llc Systems and methods for concurrent spectrum usage within actively used spectrum
US11050468B2 (en) 2014-04-16 2021-06-29 Rearden, Llc Systems and methods for mitigating interference within actively used spectrum
US10164698B2 (en) 2013-03-12 2018-12-25 Rearden, Llc Systems and methods for exploiting inter-cell multiplexing gain in wireless cellular systems via distributed input distributed output technology
US10488535B2 (en) 2013-03-12 2019-11-26 Rearden, Llc Apparatus and method for capturing still images and video using diffraction coded imaging techniques
US9973246B2 (en) 2013-03-12 2018-05-15 Rearden, Llc Systems and methods for exploiting inter-cell multiplexing gain in wireless cellular systems via distributed input distributed output technology
US9923657B2 (en) 2013-03-12 2018-03-20 Rearden, Llc Systems and methods for exploiting inter-cell multiplexing gain in wireless cellular systems via distributed input distributed output technology
RU2767777C2 (en) 2013-03-15 2022-03-21 Риарден, Ллк Systems and methods of radio frequency calibration using the principle of reciprocity of channels in wireless communication with distributed input - distributed output
CN104753653B (en) * 2013-12-31 2019-07-12 中兴通讯股份有限公司 A kind of method, apparatus and reception side apparatus of solution rate-matched
US9888469B2 (en) 2014-03-19 2018-02-06 Nec Corporation Signalling for coordinated multi-point transmission and reception (CoMP)
US11290162B2 (en) 2014-04-16 2022-03-29 Rearden, Llc Systems and methods for mitigating interference within actively used spectrum
US9031151B1 (en) * 2014-05-07 2015-05-12 L-3 Communications, Corp. Receiving and resolving a composite orbital angular momentum beam
CN106576089B (en) * 2014-08-19 2020-02-28 Lg电子株式会社 Method for generating and transmitting pilot sequence using non-CAZAC sequence in wireless communication system
US10230507B2 (en) 2014-09-25 2019-03-12 Nec Corporation Signalling in coordinated multi-point transmission and reception (CoMP)
US10224986B2 (en) 2014-09-25 2019-03-05 Nec Corporation Signalling in coordinated multi-point transmission and reception (CoMP)
US10469396B2 (en) 2014-10-10 2019-11-05 Pegasystems, Inc. Event processing with enhanced throughput
RU2563166C1 (en) * 2014-12-16 2015-09-20 Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Рязанский государственный университет имени С.А. Есенина" Method for real-time information transmission and system therefor
GB2537806B (en) * 2015-03-05 2018-07-11 Canon Kk Non-contiguous channel usage in multi-channel wireless networks
GB2564550B (en) * 2015-03-05 2019-06-05 Canon Kk Non-contiguous channel usage in multi-channel wireless networks
US10433339B2 (en) * 2015-04-14 2019-10-01 Qualcomm Incorporated Random access for low latency wireless communications
US9946321B2 (en) * 2015-10-12 2018-04-17 Dell Products, Lp System and method to proactively screen component wear through time domain response profiling
US10177826B2 (en) * 2015-12-28 2019-01-08 Qualcomm Incorporated Transmission of channel state information based on selected non-frequency domain components of channel responses
US10698599B2 (en) 2016-06-03 2020-06-30 Pegasystems, Inc. Connecting graphical shapes using gestures
RU2639657C1 (en) * 2016-06-29 2017-12-21 Акционерное общество "Омский научно-исследовательский институт приборостроения" (АО "ОНИИП") Method of adaptation of short-wave communication system with ofdm-signals
US10698647B2 (en) 2016-07-11 2020-06-30 Pegasystems Inc. Selective sharing for collaborative application usage
US10079706B2 (en) * 2016-07-21 2018-09-18 Raytheon Company Apparatus for orthogonal 16-QPSK modulated transmission
US11048488B2 (en) 2018-08-14 2021-06-29 Pegasystems, Inc. Software code optimizer and method
US11101842B2 (en) * 2019-04-18 2021-08-24 Qualcomm Incorporated Interference mitigation techniques in directional beamforming repeaters
US11567945B1 (en) 2020-08-27 2023-01-31 Pegasystems Inc. Customized digital content generation systems and methods
US11621752B1 (en) * 2022-03-28 2023-04-04 Qualcomm Incorporated Transmit power violation protection mechanism in a radio unit of a disaggregated base station

Family Cites Families (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4901307A (en) 1986-10-17 1990-02-13 Qualcomm, Inc. Spread spectrum multiple access communication system using satellite or terrestrial repeaters
US5274836A (en) * 1989-08-08 1993-12-28 Gde Systems, Inc. Multiple encoded carrier data link
US5103459B1 (en) 1990-06-25 1999-07-06 Qualcomm Inc System and method for generating signal waveforms in a cdma cellular telephone system
US5170413A (en) * 1990-12-24 1992-12-08 Motorola, Inc. Control strategy for reuse system assignments and handoff
US5838894A (en) * 1992-12-17 1998-11-17 Tandem Computers Incorporated Logical, fail-functional, dual central processor units formed from three processor units
JP2989742B2 (en) * 1994-05-20 1999-12-13 株式会社日立製作所 Digital broadcasting system, transmission system for the digital broadcasting, and receiving system for the digital broadcasting
US5748683A (en) * 1994-12-29 1998-05-05 Motorola, Inc. Multi-channel transceiver having an adaptive antenna array and method
US5790516A (en) * 1995-07-14 1998-08-04 Telefonaktiebolaget Lm Ericsson Pulse shaping for data transmission in an orthogonal frequency division multiplexed system
US5914933A (en) * 1996-03-08 1999-06-22 Lucent Technologies Inc. Clustered OFDM communication system
GB2313237B (en) * 1996-05-17 2000-08-02 Motorola Ltd Method and apparatus for transmitter antenna array adjustment
AU4238697A (en) * 1996-08-29 1998-03-19 Cisco Technology, Inc. Spatio-temporal processing for communication
WO1998010531A1 (en) * 1996-09-04 1998-03-12 Ascom Tech Ag Preamble for the assessment of channel impulse response in a antenna diversity system
CA2214934C (en) * 1996-09-24 2001-10-30 At&T Corp. Method and apparatus for mobile data communication
US5933421A (en) * 1997-02-06 1999-08-03 At&T Wireless Services Inc. Method for frequency division duplex communications
US6151296A (en) * 1997-06-19 2000-11-21 Qualcomm Incorporated Bit interleaving for orthogonal frequency division multiplexing in the transmission of digital signals
US6058105A (en) * 1997-09-26 2000-05-02 Lucent Technologies Inc. Multiple antenna communication system and method thereof
JP3609937B2 (en) * 1998-03-20 2005-01-12 シャープ株式会社 Receiving machine
JPH11340890A (en) * 1998-05-28 1999-12-10 Victor Co Of Japan Ltd Radio communication system and synchronous multicarrier transmitter
JP3449985B2 (en) 1998-07-16 2003-09-22 サムスン エレクトロニクス カンパニー リミテッド Packet data processing system and method for mobile communication system
US6151328A (en) * 1998-12-31 2000-11-21 Lg Information & Communications Ltd. Apparatus and method for controlling power in code division multiple access system
US6141393A (en) * 1999-03-03 2000-10-31 Motorola, Inc. Method and device for channel estimation, equalization, and interference suppression

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