WO2017000095A1 - 无线通信中确定信噪比的方法和装置 - Google Patents

无线通信中确定信噪比的方法和装置 Download PDF

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Publication number
WO2017000095A1
WO2017000095A1 PCT/CN2015/082582 CN2015082582W WO2017000095A1 WO 2017000095 A1 WO2017000095 A1 WO 2017000095A1 CN 2015082582 W CN2015082582 W CN 2015082582W WO 2017000095 A1 WO2017000095 A1 WO 2017000095A1
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Prior art keywords
signal
noise ratio
parameter
user equipment
interference
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PCT/CN2015/082582
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English (en)
French (fr)
Inventor
汪浩
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华为技术有限公司
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Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to EP15884171.8A priority Critical patent/EP3136808A4/en
Priority to CN201580011219.4A priority patent/CN106170936B/zh
Priority to PCT/CN2015/082582 priority patent/WO2017000095A1/zh
Publication of WO2017000095A1 publication Critical patent/WO2017000095A1/zh
Priority to US15/667,192 priority patent/US10477431B2/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/04—Error control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/20—Monitoring; Testing of receivers
    • H04B17/21—Monitoring; Testing of receivers for calibration; for correcting measurements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/12—Wireless traffic scheduling

Definitions

  • the present invention relates to the field of wireless communication technologies, and in particular, to a method and apparatus for determining a signal to noise ratio in wireless communication.
  • LTE Long Term Evolution
  • MIMO Multiple-Input Multiple-Output
  • OFDM Orthogonal Frequency Division Multiplex
  • a compliant UE can be selected and grouped by a specific scheduling mechanism, and antennas of a plurality of UEs in a group constitute a virtual multi-antenna array.
  • the base station can send and receive data with multiple UEs in the group on the same time-frequency resource.
  • the group of UEs is called a paired UE, and the paired UEs may also have interference with each other.
  • the serving base station 11 can be an eNodeB and provide services for multiple UEs 121, UE 122 and UE 123 in the serving cell 110.
  • the UE 121 is close to the edge of the cell 110 and is interfered by the cell 130 formed by the other base stations 13. This situation is also called inter-cell interference, that is, the communication link 131 between the other base stations 13 and the UE 121 is the communication between the serving base station 11 and the UE 121. Interference link of link 111.
  • the UE 122 and the UE 123 are paired UEs.
  • the serving base station 11 performs MU-MIMO transmission on the UE 122 and the UE 123
  • the communication links 113 between the base stations 11 interfere with each other.
  • a link can also be considered a channel.
  • the LTE project defines a standard receiver that suppresses interference in the Release 11 (Release 11) phase, such as an Interference Rejection Combining (IRC) receiver.
  • IRC Interference Rejection Combining
  • the ability of IRC to suppress inter-cell interference is limited, and inter-UE interference is not well suppressed. Therefore, LTE is in Release The 12-stage defines more capable receivers, such as Symbol Level Interference Cancellation (SLIC) receivers and Maximum Likelihood (ML) receivers, to achieve better interference rejection.
  • SLIC Symbol Level Interference Cancellation
  • ML Maximum Likelihood
  • the serving base station 11 can schedule appropriate radio resources, modulation coding scheme (MCS), and precoding (Precoding Matrix Indicator) according to channel state information (CSI) reported by any UE, such as the UE 121.
  • MCS modulation coding scheme
  • RI Precoding Matrix Indicator
  • the PMI and the Rank Index (RI) are given to the UE 121 to ensure normal communication of the UE 121.
  • the UE 121 may calculate the CSI according to the Minimum Mean Square Error (MMSE) criterion, which first needs to calculate the received signal to noise ratio of the UE 121, that is, the ratio of the effective signal to the interference, and determine the CSI based on the signal to noise ratio, and The CSI is fed back to the base station 11.
  • MMSE Minimum Mean Square Error
  • the UE 121 does not consider the inter-cell interference or the inter-UE interference problem, resulting in an inaccurate noise ratio or CSI.
  • the signal-to-noise ratio calculated by the MMSE often cannot reflect the true channel state of the UE, thereby further obtaining inaccurate CSI.
  • Embodiments of the present invention provide a method and apparatus for determining a signal to noise ratio in wireless communication to improve a signal to noise ratio or CSI accuracy obtained by a user equipment.
  • an embodiment of the present invention provides a method for determining a signal to noise ratio in wireless communication, including: determining an effective signal to noise ratio of a received signal of a current user equipment in a wireless communication; and obtaining for modifying the effective signal to noise ratio At least one parameter; determining a corrected signal to noise ratio corresponding to the at least one parameter and the effective signal to noise ratio based on a mapping relationship for modifying the effective signal to noise ratio.
  • a minimum mean square error criterion can be used to determine the effective signal to noise ratio.
  • the method for determining the signal to noise ratio in the wireless communication may further correct the effective signal to noise ratio based on one or more parameters, and the corrected corrected signal to noise ratio is more Accurately reflect user equipment Real channel status.
  • the mapping relationship for modifying the effective signal to noise ratio is a mapping formula; wherein the at least one parameter and the effective signal to noise The ratio is the input of the mapping formula, and the corrected signal to noise ratio is the output of the mapping formula.
  • the mapping relationship for modifying the effective signal to noise ratio is a mapping table, where the mapping table is used to indicate the at least one parameter and The corrected signal to noise ratio corresponding to the effective signal to noise ratio. Since the mapping table includes a series of discrete values, the complexity caused by the calculation using the mapping formula can be simplified by adopting the mapping table.
  • the at least one parameter includes the following A combination of one or two: a parameter indicating a receiver algorithm used by the current user equipment, and a parameter of at least one interference signal.
  • the at least one parameter includes an indication The parameters of the receiver algorithm used by the current user equipment.
  • the multiple iterations can eliminate the effects of multiple interfering
  • any one of the at least one interference signal is configured by the current user equipment A neighboring cell of the serving cell is caused by another user equipment in the serving cell, and the other user equipment is a user equipment that is paired with the current user equipment in the serving cell.
  • the parameter of any one of the at least one interference signal includes the following a combination of one or more of: a transmission mode of the interfering signal, a rank of the interfering signal, a data to pilot power ratio of the interfering signal, and a modulation scheme of the interfering signal.
  • the receiver algorithm is a symbol level interference cancellation algorithm or a maximum likelihood algorithm.
  • the correction process refers to the receiver algorithm, and different corrected signal-to-noise ratios can be obtained for different receiver algorithms, so that the calculation result is more accurate.
  • the noise ratio determines channel state information; the channel state information is reported to the service site of the current user equipment. Through the method, the accuracy of the channel state information obtained based on the modified signal to noise ratio is further improved, thereby improving the accuracy of channel feedback.
  • the wireless communication is a long term evolution wireless communication .
  • an embodiment of the present invention provides a device for determining a signal to noise ratio in wireless communication, including: an effective signal to noise ratio determining unit, configured to determine a valid signal of a received signal of a current user equipment in wireless communication. a noise ratio; a parameter determining unit, configured to acquire at least one parameter for correcting the effective signal to noise ratio; and a correcting unit, configured to determine the at least one parameter based on a mapping relationship for modifying the effective signal to noise ratio A corrected signal to noise ratio corresponding to the effective signal to noise ratio.
  • the device can be located in the current user device.
  • a minimum mean square error criterion can be used to determine the effective signal to noise ratio.
  • the mapping relationship for modifying the effective signal to noise ratio is a mapping formula
  • the modifying unit calculates the correction by using the mapping formula a signal to noise ratio; wherein the at least one parameter and the effective signal to noise ratio are inputs to the mapping formula, the corrected signal to noise ratio being an output of the mapping formula.
  • the mapping relationship for modifying the effective signal to noise ratio is a mapping table, where the mapping table is used to indicate the at least one parameter and And the modified signal-to-noise ratio corresponding to the effective signal-to-noise ratio, wherein the correction unit obtains the corrected signal-to-noise ratio by using the mapping table.
  • the at least one parameter includes the following A combination of one or two: a parameter indicating a receiver algorithm used by the current user equipment, and a parameter of at least one interference signal.
  • the at least one parameter includes an indication The parameters of the receiver algorithm used by the current user equipment.
  • the at least one parameter further includes a parameter of the N interference signals, where N is an integer greater than or equal to 2;
  • any one of the at least one interference signal is configured by the current user equipment A neighboring cell of the serving cell is caused by another user equipment in the serving cell, and the other user equipment is a user equipment that is paired with the current user equipment in the serving cell.
  • the parameter of any one of the at least one interference signal includes the following a combination of one or more of: a transmission mode of the interfering signal, a rank of the interfering signal, a data to pilot power ratio of the interfering signal, and a modulation scheme of the interfering signal.
  • the receiver algorithm is a symbol level interference cancellation algorithm or a maximum likelihood algorithm.
  • the ninth possible implementation manner of the second aspect further includes a channel state information reporting unit, And: determining channel state information based on the modified signal to noise ratio, and reporting the channel state information to a service site of the current user equipment.
  • the wireless communication is a long term evolution wireless communication .
  • an embodiment of the present invention provides a user equipment for determining a signal to noise ratio in wireless communication, including: a memory, configured to store at least one parameter for correcting an effective signal to noise ratio; and a processor, configured to determine the Acquiring the effective signal to noise ratio of the received signal of the user equipment, acquiring the at least one parameter from the memory, determining the at least one parameter and the valid signal based on a mapping relationship for modifying the effective signal to noise ratio The corrected signal to noise ratio corresponding to the noise ratio.
  • a minimum mean square error criterion can be used to determine the effective signal to noise ratio.
  • the mapping relationship for modifying the effective signal to noise ratio is a mapping formula
  • the processor is further configured to use the mapping formula to calculate The modified signal to noise ratio; wherein the at least one parameter and the effective signal to noise ratio are inputs to the mapping formula, the corrected signal to noise ratio being an output of the mapping formula.
  • the mapping relationship for modifying the effective signal to noise ratio is a mapping table, where the mapping table is used to indicate the at least one parameter and And the modified signal to noise ratio corresponding to the effective signal to noise ratio, the processor is further configured to obtain the corrected signal to noise ratio by using the mapping table.
  • the at least one parameter includes the following A combination of one or two: a parameter indicating a receiver algorithm used by the user equipment, and a parameter of at least one interference signal.
  • the at least one parameter includes an indication The parameters of the receiver algorithm used by the user equipment.
  • the at least one parameter further includes a parameter of the N interference signals, where N is an integer greater than or equal to 2;
  • any one of the at least one interference signal is served by the user equipment Caused by a neighbor cell of a cell, or caused by another user equipment in the serving cell,
  • the other user equipment and the user equipment are user equipments that are paired in the serving cell.
  • the parameter of any one of the at least one interference signal includes the following a combination of one or more of: a transmission mode of the interfering signal, a rank of the interfering signal, a data to pilot power ratio of the interfering signal, and a modulation scheme of the interfering signal.
  • the receiver algorithm is a symbol level interference cancellation algorithm or a maximum likelihood algorithm.
  • the processor is further configured to: The modified signal to noise ratio determines channel state information; and reports the channel state information to a service site of the user equipment.
  • the modified signal to noise ratio determines channel state information; and reports the channel state information to a service site of the user equipment.
  • the step of reporting the channel state information to a serving site of the user equipment may be implemented by a processing unit in the processor, where reporting the channel state information to the The step of the user equipment's service site may be implemented by a radio frequency device in the processor.
  • the wireless communication is a long term evolution wireless communication .
  • the above embodiment can be used to correct the effective signal-to-noise ratio to obtain a higher accuracy signal-to-noise ratio, thereby facilitating the channel state information with higher accuracy based on the modified signal-to-noise ratio, thereby improving the communication performance of the wireless communication system.
  • the above embodiments can be used to improve the traditional minimum mean square error criterion algorithm to achieve better wireless communication effects.
  • FIG. 1 is a schematic diagram of a principle of forming an interference signal in wireless communication provided by the prior art
  • FIG. 2 is a schematic diagram of a method for determining a signal to noise ratio in wireless communication according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of a schematic structure of a user equipment for determining a signal to noise ratio in wireless communication according to an embodiment of the present invention
  • FIG. 4 is a schematic diagram of a method for acquiring a mapping function according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of a mapping table for determining a signal to noise ratio in wireless communication according to an embodiment of the present invention
  • FIG. 6 is a schematic diagram of another mapping table for determining a signal to noise ratio in wireless communication according to an embodiment of the present invention.
  • FIG. 7 is a schematic flowchart diagram of correcting an effective signal to noise ratio for multiple interference signals in an iterative manner according to an embodiment of the present invention
  • FIG. 8 is a schematic diagram of an apparatus for determining a signal to noise ratio in wireless communication according to an embodiment of the present invention.
  • the user equipment that is, the UE, also called the wireless terminal or the user terminal
  • the serving station is usually a base station, such as an eNodeB or a NodeB in LTE, or may be an access point for a user equipment to access a mobile communication network, such as a base station controller.
  • the serving station may form one or more cells when providing access services for the user equipment, and a cell may geographically cover a certain range and occupy a carrier or frequency band in the frequency domain.
  • the user equipment and the service station can implement a communication process by running a wireless communication protocol, including but not limited to LTE, Global System for Mobile (GSM), and Universal Mobile Communication System (Universal Mobile) Telecommunications System (UMTS), Worldwide Interoperability for Microwave Access (WiMAX), Time Division-Synchronous Code Division Multiple Access (TSS) or Code Division Multiple Access 2000 (Code Division) Multiple Access 2000, CDMA2000) and other cellular wireless communication protocols.
  • LTE is a more common application scenario.
  • the user equipment When the user equipment communicates with the service station, in order to feed back the channel state information to the service station in order to schedule the resource based on the channel state information and allocate the modulation coding scheme and the precoding scheme, the user equipment first needs to accurately estimate the signal to noise ratio of the received signal of the user equipment.
  • the signal to noise ratio may also be a Signal to Interference plus Noise Ratio (SINR).
  • SINR Signal to Interference plus Noise Ratio
  • user equipment 30 may include a memory 31 and a processor 32. Memory 31 and processor 32 may be coupled by a connection line or circuit interface 33.
  • the processor 32 in the user device 30 can be used to perform the method of determining the signal to noise ratio in the present embodiment.
  • user equipment 30 or processor 32 may determine an effective signal to noise ratio of the received signal of the user equipment 30 in wireless communication based on a minimum mean square error criterion.
  • the minimum mean square error criterion is a conventional technique for calculating effective signal-to-noise ratio in wireless communication, and its implementation principle has been in many existing literatures. There is an introduction, which is not described in detail in this embodiment.
  • the user equipment 30 acquires at least one parameter for correcting the effective signal to noise ratio.
  • the at least one parameter may be a set of parameters, ie a plurality of parameters, which are used to correct the effective signal to noise ratio to obtain a more accurate signal to noise ratio.
  • the at least one parameter may be a combination of one or two of: a parameter indicating a receiver algorithm used by the current user equipment 30, and a parameter of at least one interference signal.
  • the receiver algorithm may be a symbol level interference cancellation algorithm or a maximum likelihood algorithm, and of course other available receiver algorithms are not excluded, and the algorithm used is used to achieve good interference suppression in the demodulation of the received signal.
  • the parameter indicating the receiver algorithm is used as a reference factor to modify the signal to noise ratio, which indicates that the user equipment 30 adopting different receiver algorithms has different suppression capabilities for interference, and the modification can improve the information obtained by the user equipment 30.
  • the accuracy of the noise ratio is used as a reference factor to modify the signal to noise ratio, which indicates that the user equipment 30 adopting different receiver algorithms has different suppression capabilities for interference, and the modification can improve the information obtained by the user equipment 30. The accuracy of the noise ratio.
  • At least one parameter may be stored in a memory 31 in the user device 30.
  • the memory 31 may be a random access memory (RAM), a read-only memory (ROM), a flash memory, or the like, or may be a buffer (Buffer) or a FIFO (First In First Out,
  • the type of the memory 31 is not limited to the type of the memory 31, such as a first-in first-out queue or a register or the like for temporary or temporary storage.
  • memory 31 can be a register.
  • the processor 32 may specifically acquire the at least one parameter from the memory 31 when performing a correction process.
  • the user device 30 updates the memory 31 according to the operating state of the user device 30 in real time or after a certain time interval during operation.
  • processor 32 may be aware of the receiver algorithm currently being used by user equipment 30 and write parameters indicative of the algorithm to memory 31 for subsequent correction processing.
  • user equipment 30 may receive parameters of at least one interference signal from its serving base station or other network communication node and write it to memory 31 for subsequent use in the correction process.
  • the parameters of the interference signal may include a transmission mode of the interference signal, a rank of the interference signal, a data to pilot power ratio of the interference signal, or a modulation scheme of the interference signal.
  • the user equipment 30 uses the parameters of the interference signal as a reference factor to correct the signal to noise ratio.
  • the interference caused by the user equipment 30 is different when the transmission mode, the rank or the modulation scheme used by the scrambling signal is different, and the accuracy of the signal to noise ratio calculated by the user equipment 30 can be improved by using the correction.
  • An interference signal may be caused by a user equipment that is paired with the user equipment 30 in the serving cell of the current serving base station of the user equipment 30, or is caused by a neighboring cell of the neighboring base station. This embodiment does not specifically limit the cause of the interference signal.
  • the transmission mode of the interference signal may be a MIMO transmission mode of an interference signal from an interfering cell, and may include a MIMO transmission mode such as transmit diversity, open-loop space division multiplexing, closed-loop space division multiplexing, or beamforming.
  • the modulation scheme of the interference signal may include 16QAM (Quadrature Amplitude Modulation), 64QAM or QPSK (Quadrature Phase Shift Keying), and the like.
  • the data-to-pilot power ratio of the interfering signal reflects the ratio of the data signal power to the pilot power in the interfering signal, wherein the pilot, which may also be referred to as a reference signal, may be used for channel estimation or measurement.
  • these parameters may be obtained by the user equipment estimating the interference signal based on the existing interference estimation scheme. That is, prior to S22, user equipment 30 or its processor 32 may obtain parameters of the at least one interfering signal by estimating an interfering signal or interfering cell.
  • this embodiment does not exclude other ways in which the user equipment 30 acquires parameters of at least one interference signal, such as the user equipment 30 may obtain these parameters from other communication nodes, such as a base station or other user equipment.
  • user equipment 30 may receive parameters of at least one interference signal specifically through a physical downlink control channel (PDCCH) of the serving base station.
  • PDCCH physical downlink control channel
  • the user equipment 30 determines a corrected signal to noise ratio corresponding to the at least one parameter and the effective signal to noise ratio based on a mapping relationship for correcting the effective signal to noise ratio. Specifically, processing The device 32 can obtain the corrected signal to noise ratio using a manner based on the calculation of the mapping formula or a way of looking up the mapping table.
  • SNR is the obtained corrected signal to noise ratio
  • SNR no is the effective signal to noise ratio
  • ⁇ is a parameter set including the at least one parameter.
  • f() is a mapping function that represents the mapping relationship.
  • the mapping function f() may be preset, which may be stored in the memory 31 or in another memory. That is to say, f() can be obtained by offline.
  • f() can be obtained by a person skilled in the art based on the simulation. Before the user equipment 30 leaves the factory, the f() is stored in the memory 31 or in another memory as a parameter in the form of software code, and the processor 32 can acquire the f() from the memory 31 or another memory. And based on the f () to do correction processing to obtain a modified signal to noise ratio. Alternatively, f() may also be placed into processor 32 as a hardware circuit, i.e., in processor 32 by an integrated circuit or other circuit fabrication process.
  • the processor 32 can directly calculate the corrected signal to noise ratio based on f().
  • the value of the corrected signal-to-noise ratio obtained by the user equipment 30 or the processor 32 is different through the f() mapping, thereby realizing the modification and improvement of the obtained signal according to the parameters of the actual receiver.
  • the noise ratio improves the accuracy of the obtained signal-to-noise ratio.
  • f() is pre-stored in the memory 31 or in another memory in software form or built into the processor 32 as a hardware circuit, those skilled in the art can pass simulation and verification in the development or production verification of the user device 30. Get the appropriate function f().
  • the expression of f() can be replaced with a lookup table or a mapping table that includes a plurality of discrete values.
  • the mapping table is configured to indicate a modified signal to noise ratio corresponding to the at least one parameter and the effective signal to noise ratio, and implements the mapping relationship mentioned earlier in this embodiment instead of f().
  • the processor 32 is configured to obtain a corrected signal to noise ratio by looking up the mapping table by taking one or more parameters as inputs.
  • the mapping table may be stored in the memory 31 or in another memory in the form of software code, which is read by the processor 32 from the memory 31. Or alternatively, the mapping table can be embedded within processor 32 in the form of logic circuitry. While the processor 32 is performing the correction process, since the processor 32 already has the mapping table built in, the processor 32 can directly calculate the corrected signal to noise ratio based on the logic circuit reflecting the mapping table.
  • FIG. 5 is a schematic diagram of a mapping table 1 according to an embodiment of the present invention.
  • the parameters indicating the receiver algorithm are taken as input 1 of Table 1, which includes a series of discrete values, such as Algorithm 1, Algorithm 2, and the like.
  • the other input 2 is the effective signal to noise ratio, including multiple values, which are respectively expressed as effective signal to noise ratio 1, effective signal to noise ratio 2, and so on.
  • the mapping table 1 at this time is equivalent to a two-dimensional lookup table, that is, one correction result is mapped by two inputs.
  • the processor 32 finds the corresponding correction result as the corrected signal to noise ratio in Table 2 by taking the parameters of the acquired receiver algorithm and the effective signal to noise ratio as two inputs. For example, algorithm 1 and effective signal to noise ratio 1 correspond to correction result 1, and algorithm 2, effective signal to noise ratio 2 corresponds to correction result x+1.
  • mapping table 2 in addition to the effective signal to noise ratio and the parameter indicating the receiver algorithm as two inputs, three inputs, that is, the transmission mode of the interference signal and the rank of the interference signal, may be further introduced. Or a modulation scheme of the interference signal.
  • Table 2 can be considered as a five-dimensional lookup table, including five inputs, namely the effective signal-to-noise ratio and four parameters in the parameter set ⁇ , which are parameters of the receiver algorithm and interference signals, respectively. a transmission mode, a rank of the interference signal, and a modulation scheme of the interference signal.
  • the processor 32 finds the corresponding correction result in the lookup table 2 through the five inputs as the corrected signal to noise ratio.
  • a plurality of mapping tables may be built in the user equipment 30, and the plurality of mapping tables may be stored in the memory 31 or in another memory in the form of software code, or directly embedded in the processor 32 in the form of logic circuits, the user Device 30 or processor 32 may decide which mapping table to use in the plurality of mapping tables to determine the corrected signal to noise ratio.
  • the input to each mapping table can be two Or more, the number of inputs depends on which parameters are included in the parameter set ⁇ involved in the mapping table. In addition to the one or more parameters listed in Table 2, these parameters may further include other parameters that affect the interference characteristics, which is not limited in this embodiment. The greater the number of parameters used, the more factors are considered in the correction process, and the corrected signal-to-noise ratio is more accurate. Therefore, as the number of inputs to the mapping table increases, the correction effect will increase.
  • the number of interference signals is one or more depending on the actual usage scenario of the user equipment 30 or the wireless network deployment around the user equipment 30.
  • the effective signal to noise ratio can be corrected for each interference signal in sequence.
  • the user equipment 30 or the processor 32 may have the ability to process multiple interfering signals. Specifically, user equipment 30 first calculates the effective signal to noise ratio before correction and then traverses all possible interference signals. If it is necessary to perform correction processing for the i-th interfering signal, the i-th corrected signal-to-noise ratio is calculated using the mapping table or mapping formula described in the previous embodiment.
  • the i-th corrected signal-to-noise ratio is used as an input for the next one, i.e., the i+1th interference signal, for correction.
  • i is an integer greater than or equal to 1 and less than or equal to N
  • the initial value of i is 1.
  • the value of i is incremented by one after each iteration until i equals N.
  • N is the number of interference signals and is an integer greater than or equal to 2. That is, the processor 32 may calculate an effective signal to noise ratio for each interfering signal parameter in an iterative manner to improve system performance.
  • the processor 32 performs a modified effective signal to noise ratio for the i-th interfering signal based on the mapping relationship, that is, the processor 32 determines and determines a receiver algorithm used by the current user equipment based on the mapping table or mapping formula.
  • the embodiment can further improve the accuracy of the calculated signal to noise ratio.
  • the method for determining a signal to noise ratio may further include: in S24, the user equipment 30 or The processor 32 may determine the channel state information based on the calculated corrected signal to noise ratio, and report the channel state information to the service site of the current user equipment 30.
  • the embodiment is equivalent to providing a channel state information reporting or channel feedback method.
  • the processor 32 can be further divided into a processing unit for determining channel state information and a radio frequency device (not shown in FIG. 3) for reporting the channel state information.
  • the radio frequency device may be located in the same chip as the processing unit or in different chips.
  • the channel state information in this embodiment may include at least one of a Rank Index (RI), a Pre-coder Matrix Indicator (PMI), or a Channel Quality Indicator (CQI). .
  • the CQI may further include a wideband CQI or a narrowband CQI
  • the PMI may further include a wideband PMI or a narrowband PMI, which is not limited in this embodiment. Since the channel state information is obtained based on the corrected signal to noise ratio, it is more accurate to accurately reflect the actual state of the channel used by the user equipment 30 in the wireless communication.
  • the scheduling of the serving base station based on the channel state information fed back by the user equipment 30 is also more accurate, improving the data throughput of the user equipment 30, thereby improving the overall performance of the wireless communication system.
  • processor 32 may specifically be a communications processor, baseband and radio frequency processor, general purpose processing unit or wireless modem that can be used to operate any wireless communication protocol such as LTE, UMTS or GSM.
  • the processor 32 can operate under the drive of the necessary driver software.
  • the driver software can be stored in memory 31 or in other storage units.
  • the driver software may be the necessary protocol software to run the wireless communication protocol described above.
  • Processor 32 may include one or more chips, or processor 32 may be implemented by an integrated circuit or other form of circuitry, such as a printed circuit, or a combination of both.
  • the integrated circuit is in the form of a circuit fabricated on a semiconductor substrate by an integrated circuit process, and may include at least one of a digital circuit or an analog circuit.
  • a chip is a component that includes a large number of integrated circuits and peripheral packages.
  • a person skilled in the art can obtain the mapping relationship mentioned in this embodiment in the manner shown in FIG. 4 in the development or production verification of the user equipment 30.
  • One skilled in the art can construct a conventional receiver emulation program 401 and an improved receiver emulation program 402 through a computer simulation environment.
  • the conventional receiver emulation program 401 is used to simulate the signal to noise ratio calculation method in the receiver in the prior art
  • the improved receiver emulation program is used to simulate the method provided by the embodiment of the present invention.
  • a set of identical parameters ⁇ as described in the previous embodiment can be set for the two sets of programs 401 and 402.
  • the initial signal-to-noise ratio of the conventional receiver emulation program 401 is set to a value such that the reception accuracy of the conventional receiver emulation program 401 is lower than this signal-to-noise ratio value, If the frame error rate reaches the preset value, such as 10%.
  • the improved receiver emulation program 402 all possible SNR values are traversed and these values are sequentially configured to the improved receiver emulation program 402, and the improved receiver emulation program 402 receives the accuracy for each SNR value, such as Frame error rate.
  • the SNR value of the input improved receiver emulation program 402 at this time is the SNR no under the set of parameters ⁇ Corrected value. That is to say, for different sets of parameters ⁇ , the correspondence between the values of the plurality of discrete SNR no and the plurality of discrete SNR values can be obtained by the above manner, thereby forming the mapping table described earlier. As described above, the mapping table reflecting the correspondence between the plurality of discrete values can also be converted into an f() function, that is, a person skilled in the art can select an appropriate f() function by a function fitting method to simulate the actual Correspondence between multiple discrete values. There are already quite common applications in the field of mathematics and computers for how to perform such fitting, and will not be described in detail here.
  • FIG. 8 is a schematic diagram of an apparatus 80 for determining a signal to noise ratio in wireless communication according to an embodiment of the present invention, which may be located inside a user equipment for implementing correction of an effective signal to noise ratio.
  • the apparatus 80 may include: an effective signal to noise ratio determining unit 81, configured to determine an effective signal to noise ratio of a received signal of a current user equipment in the wireless communication based on a minimum mean square error criterion; and a parameter determining unit 82 configured to acquire the corrected information Determining at least one parameter of an effective signal to noise ratio; the correcting unit 83, configured to determine a modified letter corresponding to the at least one parameter and the effective signal to noise ratio based on a mapping relationship for modifying the effective signal to noise ratio Noise ratio.
  • the apparatus 80 may further include: a channel state information reporting unit 84, configured to determine channel state information based on the modified signal to noise ratio, and report the channel state information to the The service site of the current user device.
  • a channel state information reporting unit 84 configured to determine channel state information based on the modified signal to noise ratio, and report the channel state information to the The service site of the current user device.
  • the computer readable storage medium may be a magnetic disk, an optical disk, a ROM, a RAM, or the like.

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Abstract

一种无线通信中确定信噪比的方法和装置，属于无线通信领域。所述方法包括：确定无线通信中当前用户设备的接收信号的有效信噪比；获取用于修正所述有效信噪比的至少一个参数；基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。

Description

无线通信中确定信噪比的方法和装置 技术领域
本发明涉及无线通信技术领域，尤其涉及一种无线通信中确定信噪比的方法和装置。
背景技术
为了提高无线通信技术的发展，在第3代合作伙伴计(3rd Generation Partnership Project，3GPP)中长期演进(Long Term Evolution，LTE)项目被建立。其中，多输入多输出(Multiple-Input Multiple-Output，MIMO)和正交频分复用(Orthogonal Frequency Division Multiplex，OFDM)是LTE项目中最关键的两个技术。在LTE实际应用场景中，用户设备(User Equipment,UE)可能受到邻区的干扰，该干扰将严重影响UE解调数据的性能。此外，在MU-MIMO(多用户MIMO)系统中，可通过特定的调度机制选择符合规定的UE并归为一组，一组中的多个UE的天线就构成了虚拟的多天线阵列。基站可在相同的时频资源上与该组内多个UE收发数据，这组UE就称为配对UE，配对UE彼此之间也可能存在干扰。以图1为例，服务基站11可以为一个eNodeB，并为服务小区110中的多个UE121,UE 122和UE 123提供服务。其中UE121靠近小区110的边缘，会受到其他基站13形成的小区130的干扰，此种情形也叫小区间干扰，即其他基站13与UE121间的通信链路131是服务基站11与UE121间的通信链路111的干扰链路。UE122和UE 123为配对UE，服务基站11对UE122和UE 123作MU-MIMO传输时，UE122和UE 123之间也可能存在干扰，即UE122与服务基站11间的通信链路112和UE123与服务基站11间的通信链路113互相干扰。一个链路也可被视为是一个信道。
LTE项目在Release 11(版本11)阶段定义了抑制干扰的标准接收机，例如干扰抑制合并(Interference Rejection Combining,IRC)接收机。然而，IRC抑制小区间干扰的能力有限，也不能很好抑制UE间干扰。因此，LTE在Release  12阶段定义了能力更强的接收机，如符号级干扰消除(Symbol Level Interference Cancellation，SLIC)接收机和最大似然(Maximum Likelihood，ML)接收机，以达到更好的干扰抑制效果。
在LTE系统中，服务基站11可根据任意UE，如UE121上报的信道状态信息(Channel State Information,CSI)调度合适的无线资源、调制编码方案(Modulation Coding Scheme，MCS)、预编码(Precoding Matrix Indicator，PMI)和秩(Rank Index，RI)给UE121，保证UE121的正常通信。UE121可依据最小均方误差(Minimum Mean Square Error，MMSE)准则计算CSI，这需要首先计算该UE121的接收信噪比，即有效信号相对于干扰的比值，并基于该信噪比确定CSI，以及向基站11反馈该CSI。但是在计算信噪比的过程中UE121没有考虑小区间干扰或UE间干扰问题，导致信得到的噪比或CSI不准确。特别是当在UE121中使用SLIC接收机或者ML接收机时，通过MMSE计算得到的信噪比经常无法反映该UE真实的信道状态，从而进一步得到不准确的CSI。
发明内容
本发明实施例提供了一种无线通信中确定信噪比的方法和装置，以提高用户设备所获得的信噪比或CSI的准确度。
第一方面，本发明实施例提供了一种无线通信中确定信噪比的方法，包括：确定无线通信中当前用户设备的接收信号的有效信噪比；获取用于修正所述有效信噪比的至少一个参数；基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。可选地，最小均方误差准则可被用于确定所述有效信噪比。相对于传统的最小均方误差准则算法，本发明实施例提供的无线通信中确定信噪比的方法可进一步基于一个或多个参数对有效信噪比进行修正，得到的修正的信噪比更加准确的反映用户设备 真实的信道状态。
根据第一方面，在第一方面的第一种可能的实现方式中，所述用于修正所述有效信噪比的映射关系为映射公式；其中，所述至少一个参数和所述有效信噪比为所述映射公式的输入，所述修正的信噪比为所述映射公式的输出。
根据第一方面，在第一方面的第二种可能的实现方式中，所述用于修正所述有效信噪比的映射关系为映射表，该映射表用于指示与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。所述映射表由于包括一系列离散值，通过采用映射表可简化由于采用映射公式进行计算所引起的复杂度。
根据第一方面、第一方面的第一种可能的实现方式或第一方面的第二种可能的实现方式，在第一方面的第三种可能的实现方式中，所述至少一个参数包括如下一个或两个的组合：指示所述当前用户设备所用的接收机算法的参数、和至少一个干扰信号的参数。
根据第一方面、第一方面的第一种可能的实现方式或第一方面的第二种可能的实现方式，在第一方面的第四种可能的实现方式中，所述至少一个参数包括指示所述当前用户设备所用的接收机算法的参数。
根据第一方面的第四种可能的实现方式，在第一方面的第五种可能的实现方式中，所述至少一个参数还包括N个干扰信号的参数，N是大于等于2的整数；所述基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比包括：步骤1：基于所述映射关系，确定与指示所述当前用户设备所用的接收机算法的参数、N个干扰信号的参数中第i个干扰信号的参数和所述有效信噪比所对应的修正的信噪比；步骤2：利用所述修正的信噪比替换所述有效信噪比，将i的值加1，并重复步骤1，直到i＝N；其中，i为大于等于1且小于等于N的整数，且i的初始值为1。通过多次迭代处理可消除多个干扰信号带来的影响，使得最终得到的修正的信噪比更加准确。
根据第一方面的第三种或第五种可能的实现方式，在第一方面的第六种可能的实现方式中，所述至少一个干扰信号中任一干扰信号是由所述当前用户设备的服务小区的一邻居小区引起的，或者由所述服务小区内的另一用户设备引起，其中所述另一用户设备与所述当前用户设备在所述服务小区是配对的用户设备。
根据第一方面的第三种、第五种或第六种可能的实现方式，在第一方面的第七种可能的实现方式中，所述至少一个干扰信号中任一干扰信号的参数包括如下一个或多个的组合：所述干扰信号的传输模式、所述干扰信号的秩、所述干扰信号的数据与导频功率比和所述干扰信号的调制方案。通过在修正过程中参考各种关于干扰信号的参数，并基于这些参数进行修正处理，可以得到更准确的信噪比。
根据第一方面的第三种或第四种可能的实现方式，在第一方面的第八种可能的实现方式中，所述接收机算法为符号级干扰消除算法或最大似然算法。本修正过程参考了接收机算法，可针对不同接收机算法得到不同的修正的信噪比，使得计算结果更准确。
根据第一方面、或第一方面的第一种至第八种可能的实现方式中的任一方式，在第一方面的第九种可能的实现方式中，还包括：基于所述修正的信噪比确定信道状态信息；上报所述信道状态信息至所述当前用户设备的服务站点。通过本方法，基于修正的信噪比所得到的信道状态信息准确度也得到了进一步提高，从而提高了信道反馈的准确性。
根据第一方面、或第一方面的第一种至第九种可能的实现方式中的任一方式，在第一方面的第十种可能的实现方式中，所述无线通信为长期演进无线通信。
第二方面，本发明实施例提供了一种无线通信中确定信噪比的装置，包括：有效信噪比确定单元，用于确定无线通信中当前用户设备的接收信号的有效信 噪比；参数确定单元，用于获取用于修正所述有效信噪比的至少一个参数；修正单元，用于基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。可选地，所述装置可位于所述当前用户设备中。可选地，最小均方误差准则可被用于确定所述有效信噪比。
根据第二方面，在第二方面的第一种可能的实现方式中，所述用于修正所述有效信噪比的映射关系为映射公式，所述修正单元利用所述映射公式计算所述修正的信噪比；其中，所述至少一个参数和所述有效信噪比为所述映射公式的输入，所述修正的信噪比为所述映射公式的输出。
根据第二方面，在第二方面的第二种可能的实现方式中，所述用于修正所述有效信噪比的映射关系为映射表，该映射表用于指示与所述至少一个参数和所述有效信噪比所对应的修正的信噪比，所述修正单元利用所述映射表得到所述修正的信噪比。
根据第二方面、第二方面的第一种可能的实现方式或第二方面的第二种可能的实现方式，在第二方面的第三种可能的实现方式中，所述至少一个参数包括如下一个或两个的组合：指示所述当前用户设备所用的接收机算法的参数、和至少一个干扰信号的参数。
根据第二方面、第二方面的第一种可能的实现方式或第二方面的第二种可能的实现方式，在第二方面的第四种可能的实现方式中，所述至少一个参数包括指示所述当前用户设备所用的接收机算法的参数。
根据第二方面的第四种可能的实现方式，在第二方面的第五种可能的实现方式中，所述至少一个参数还包括N个干扰信号的参数，N是大于等于2的整数；所述修正单元具体用于执行：步骤1：基于所述映射关系，确定与指示所述当前用户设备所用的接收机算法的参数、N个干扰信号的参数中第i个干扰信号的参数和所述有效信噪比所对应的修正的信噪比；步骤2：利用所述修正的信噪比替换所述有效信噪比，将i的值加1，并重复步骤1，直到i＝N；其 中，i为大于等于1且小于等于N的整数，且i的初始值为1。
根据第二方面的第三种或第五种可能的实现方式，在第二方面的第六种可能的实现方式中，所述至少一个干扰信号中任一干扰信号是由所述当前用户设备的服务小区的一邻居小区引起的，或者由所述服务小区内的另一用户设备引起，其中所述另一用户设备与所述当前用户设备在所述服务小区是配对的用户设备。
根据第二方面的第三种、第五种或第六种可能的实现方式，在第二方面的第七种可能的实现方式中，所述至少一个干扰信号中任一干扰信号的参数包括如下一个或多个的组合：所述干扰信号的传输模式、所述干扰信号的秩、所述干扰信号的数据与导频功率比和所述干扰信号的调制方案。
根据第二方面的第三种或第四种可能的实现方式，在第二方面的第八种可能的实现方式中，所述接收机算法为符号级干扰消除算法或最大似然算法。
根据第二方面、或第二方面的第一种至第八种可能的实现方式中的任一方式，在第二方面的第九种可能的实现方式中，还包括信道状态信息上报单元，用于：基于所述修正的信噪比确定信道状态信息；上报所述信道状态信息至所述当前用户设备的服务站点。
根据第二方面、或第二方面的第一种至第九种可能的实现方式中的任一方式，在第二方面的第十种可能的实现方式中，所述无线通信为长期演进无线通信。
第三方面，本发明实施例提供了一种无线通信中确定信噪比的用户设备，包括：存储器，用于存储用于修正有效信噪比的至少一个参数；处理器，用于确定所述用户设备的接收信号的所述有效信噪比，从所述存储器获取所述至少一个参数，基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。可选地，最小均方误差准则可被用于确定所述有效信噪比。
根据第三方面，在第三方面的第一种可能的实现方式中，所述用于修正所述有效信噪比的映射关系为映射公式，所述处理器进一步用于利用所述映射公式计算所述修正的信噪比；其中，所述至少一个参数和所述有效信噪比为所述映射公式的输入，所述修正的信噪比为所述映射公式的输出。
根据第三方面，在第三方面的第二种可能的实现方式中，所述用于修正所述有效信噪比的映射关系为映射表，该映射表用于指示与所述至少一个参数和所述有效信噪比所对应的修正的信噪比，所述处理器进一步用于利用所述映射表得到所述修正的信噪比。
根据第三方面、第三方面的第一种可能的实现方式或第三方面的第二种可能的实现方式，在第三方面的第三种可能的实现方式中，所述至少一个参数包括如下一个或两个的组合：指示所述用户设备所用的接收机算法的参数、和至少一个干扰信号的参数。
根据第三方面、第三方面的第一种可能的实现方式或第三方面的第二种可能的实现方式，在第三方面的第四种可能的实现方式中，所述至少一个参数包括指示所述用户设备所用的接收机算法的参数。
根据第三方面的第四种可能的实现方式，在第三方面的第五种可能的实现方式中，所述至少一个参数还包括N个干扰信号的参数，N是大于等于2的整数；所述处理器进一步用于执行：步骤1：基于所述映射关系，确定与指示所述用户设备所用的接收机算法的参数、N个干扰信号的参数中第i个干扰信号的参数和所述有效信噪比所对应的修正的信噪比；步骤2：利用所述修正的信噪比替换所述有效信噪比，将i的值加1，并重复步骤1，直到i＝N；其中，i为大于等于1且小于等于N的整数，且i的初始值为1。
根据第三方面的第三种或第五种可能的实现方式，在第三方面的第六种可能的实现方式中，所述至少一个干扰信号中任一干扰信号是由所述用户设备的服务小区的一邻居小区引起的，或者由所述服务小区内的另一用户设备引起， 其中所述另一用户设备与所述用户设备在所述服务小区是配对的用户设备。
根据第三方面的第三种、第五种或第六种可能的实现方式，在第三方面的第七种可能的实现方式中，所述至少一个干扰信号中任一干扰信号的参数包括如下一个或多个的组合：所述干扰信号的传输模式、所述干扰信号的秩、所述干扰信号的数据与导频功率比和所述干扰信号的调制方案。
根据第三方面的第三种或第四种可能的实现方式，在第三方面的第八种可能的实现方式中，所述接收机算法为符号级干扰消除算法或最大似然算法。
根据第三方面、或第三方面的第一种至第八种可能的实现方式中的任一方式，在第三方面的第九种可能的实现方式中，所述处理器还用于：基于所述修正的信噪比确定信道状态信息；上报所述信道状态信息至所述用户设备的服务站点。在一种可能的实现方式中，所述上报所述信道状态信息至所述用户设备的服务站点的步骤可以由所述处理器中的处理单元实现，所述上报所述信道状态信息至所述用户设备的服务站点的步骤可以由所述处理器中的射频装置实现。
根据第三方面、或第三方面的第一种至第九种可能的实现方式中的任一方式，在第三方面的第十种可能的实现方式中，所述无线通信为长期演进无线通信。
上述实施方式可用来修正有效信噪比得到更高准确度的信噪比，从而便于基于该修正的信噪比得到准确度更高的信道状态信息，从而提高无线通信系统的通信性能。上述实施方式可用于改进传统的最小均方误差准则算法，达到更好的无线通信效果。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述 中的附图仅仅是本发明的一些实施例或现有技术的简要示意图，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为现有技术提供的一种无线通信中干扰信号形成原理的简要示意图；
图2为本发明实施例提供的一种在无线通信中确定信噪比的方法的简要示意图；
图3为本发明实施例提供的一种在无线通信中确定信噪比的用户设备的简要结构的示意图；
图4为本发明实施例提供的一种映射函数的获取方法的简要示意图；
图5为本发明实施例提供的一种在无线通信中确定信噪比的映射表的简要示意图；
图6为本发明实施例提供的另一种在无线通信中确定信噪比的映射表的简要示意图；
图7为本发明实施例提供的一种通过迭代方式依次针对多个干扰信号修正有效信噪比的简要流程示意图；
图8为本发明实施例提供的一种无线通信中确定信噪比的装置的简要示意图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
在本发明实施例中，用户设备，即UE也叫无线终端或用户终端，可以享有服务站点的无线接入服务。所述服务站点通常是一个基站，如LTE中的eNodeB或NodeB，或者也可以是基站控制器等用于将用户设备接入移动通信网络的接入点。所述服务站点在为用户设备提供接入服务时，可形成一个或多个小区，一个小区可以在地理上覆盖一定范围并占据频域上的一段载波或频带。具体地，用户设备与所述服务站点可通过运行无线通信协议实现通信过程，所述无线通信协议包括但不限于LTE、全球移动通信(Global System for Mobile，GSM)、通用移动通信系统(Universal Mobile Telecommunications System，UMTS)、全球微波互联接入(Worldwide Interoperability for Microwave Access，WiMAX)、时分-同步码分多址(Time Division-Synchronous Code Division Multiple Access TDS-CDMA)或码分多址2000(Code Division Multiple Access 2000，CDMA2000)等各类蜂窝无线通信协议。在本发明实施例中，LTE是更常见的应用场景。
当用户设备与服务站点通信时，为了向服务站点反馈信道状态信息以便于基于信道状态信息调度资源和分配调制编码方案和预编码方案，用户设备首先要准确估计用户设备的接收信号的信噪比，有时该信噪比也可以是信干噪比(Signal to Interference plus Noise Ratio，SINR)。本发明实施例因此提出了一种比常规技术更优的在无线通信中确定信噪比的方法。
图2是所述方法的一个实施例的简要示意图，所述方法可由所述用户设备30执行，可对传统的信噪比进行修正。请参见图3，用户设备30可包括存储器31和处理器32。存储器31与处理器32可通过一个连接线或电路接口33相耦合。用户设备30中的处理器32可被用于执行本实施例确定信噪比的方法。具体地，在S21中，用户设备30或处理器32可基于最小均方误差准则确定无线通信中该用户设备30的接收信号的有效信噪比。最小均方误差准则是一种无线通信中用于计算有效信噪比的常规技术，其实现原理在现有诸多文献中已 有介绍，本实施例对此不作详细描述。
在S22中，用户设备30获取用于修正所述有效信噪比的至少一个参数。所述至少一个参数可以是一组参数，即多个参数，其用于对所述有效信噪比进行修正，得到更准确的信噪比。具体地，所述至少一个参数可以是如下一个或两个的组合：指示所述当前用户设备30所用的接收机算法的参数、和至少一个干扰信号的参数。所述接收机算法可以为符号级干扰消除算法或最大似然算法，当然也不排除其他可用的接收机算法，所用的算法用来在接收信号的解调中实现好的干扰抑制。本实施例中将指示接收机算法的参数作为一个参考因素来修正信噪比，说明采用不同接收机算法的用户设备30对干扰的抑制能力不同，通过所述修正可提高用户设备30得到的信噪比的准确度。
如图3所示，优选地，至少一个参数可以存储在用户设备30中的一个存储器31中。存储器31可以是随机存取存储器(Random Access Memory，RAM)、只读存储器(Read-Only Memory，ROM)、快速(Flash)存储器等，也可以是缓存(Buffer)、FIFO(First In First Out，先入先出队列)或寄存器等用于暂时或临时存储的元件，对存储器31的类型本实施例不做限制。在一个示例中，存储器31可以是一个寄存器。处理器32在进行修正处理时可具体从所述存储器31中获取所述至少一个参数。用户设备30在工作中可实时或每间隔一定时间后根据用户设备30的工作状态更新所述存储器31。例如，处理器32可获知用户设备30当前正在使用的接收机算法并将指示该算法的参数写入存储器31以便后续进行修正处理时使用。此外，用户设备30可从其服务基站或其他网络通信节点接收至少一个干扰信号的参数并写入存储器31以便后续进行修正处理时使用。
在一个实现方式中，干扰信号的参数可以包括该干扰信号的传输模式、所述干扰信号的秩、所述干扰信号的数据与导频功率比或所述干扰信号的调制方案。用户设备30将干扰信号的参数作为一个参考因素来修正信噪比，说明干 扰信号采用的传输模式、秩或调制方案不同的时候对用户设备30造成的干扰也不同，通过采用所述修正可提高用户设备30计算的信噪比准确度。如背景技术所述，用户设备30的干扰信号可以有多个，且每个干扰信号的成因可以不同。一个干扰信号可以是用户设备30的当前服务基站的服务小区内与用户设备30配对的用户设备引起的，或者是邻居基站的邻居小区引起的，本实施例对干扰信号的成因不作具体限制。
在上述实现方式中，该干扰信号的传输模式可以是来自干扰小区的干扰信号的MIMO传输模式，可包括发射分集、开环空分复用、闭环空分复用或波束成形等MIMO传输方式。所述干扰信号的调制方案可以包括16QAM(Quadrature Amplitude Modulation，正交幅度调制)，64QAM或QPSK(Quadrature Phase Shift Keying，正交相移键控)等对干扰信号的调制方式。所述干扰信号的数据与导频功率比反映了干扰信号中的数据信号功率与导频功率的比值，其中导频也可以叫做参考信号，可被用于做信道估计或测量。关于干扰信号的传输模式、所述干扰信号的秩、或所述干扰信号的调制方案这些参数可以是用户设备基于现有的干扰估计方案对干扰信号进行估计得到。也就是说在S22之前，用户设备30或其处理器32可通过估计干扰信号或干扰小区得到所述至少一个干扰信号的参数。当然，本实施例不排除用户设备30获取至少一个干扰信号的参数的其他方式，如用户设备30可从其他通信节点，比如基站或其他用户设备处得到这些参数。例如，用户设备30可具体通过服务基站的物理下行控制信道(PDCCH)接收至少一个干扰信号的参数。在得到这些参数后，用户设备30或其处理器32可将所述至少一个干扰信号的参数写入存储器31，以便用户设备30中处理器32在后续的步骤S22中读取存储器31中的参数。
在S23中，用户设备30基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。具体地，处理 器32可使用基于映射公式计算的方式或查映射表的方式来得到修正的信噪比。
在一种实现方式中，所述用于修正所述有效信噪比的映射关系为映射公式，具体可以是SNR＝f(SNRno,{Φ})。其中，SNR是得到的修正的信噪比，SNRno是所述有效信噪比，{Φ}是参数集合，包括所述至少一个参数。f()是映射函数，表示了所述映射关系。处理器32可基于映射公式SNR＝f(SNRno,{Φ})将SNRno和{Φ}作为输入变量计算得到SNR。映射函数f()可以是预先设定的，其可以保存在存储器31中或另一个存储器中。也就是说f()可以是通过离线的方式获取的，在这种方式下，当用户设备确定信噪比之前，f()的表达式已经预存储在用户设备30中，实现复杂度低。具体地，f()可以由本领域技术人员根据仿真得到。在用户设备30出厂前，该f()被以软件代码的形式作为一种参数存入存储器31中或另一个存储器中，处理器32可从存储器31中或另一个存储器中获取该f()并基于该f()做修正处理得到修正的信噪比。或者可替换地，f()也可以作为硬件电路被置入到处理器32内，即通过集成电路或其他电路生产工艺制作在处理器32中。在处理器32在进行修正处理的时候，由于处理器32已经内置有所述映射关系f()，处理器32可直接基于f()计算修正的信噪比。当至少一个参数取不同值的时候，经过f()映射，用户设备30或处理器32得到的修正的信噪比的值是不同的，从而实现根据实际接收机的参数修改并完善得到的信噪比，使得得到的信噪比准确度提高。无论f()是以软件形式预先存储在存储器31中或另一个存储器中还是作为硬件电路被内置于处理器32中，本领域技术人员可在用户设备30的开发或生产验证中通过仿真和验算得到适合的函数f()。
在另一种实现方式中，f()的表达式可以用包括多个离散数值的查找表或者说映射表来代替。该映射表用于指示与所述至少一个参数和所述有效信噪比所对应的修正的信噪比，实现代替f()来表明本实施例之前提到的映射关系。处 理器32用于通过将一个或多个参数作为输入查找该映射表得到修正的信噪比。该映射表可以以软件代码形式存储于存储器31中或另一个存储器中，由处理器32从存储器31中读取。或者可替换地，该映射表可以逻辑电路的形式嵌入在处理器32内。在处理器32在进行修正处理的时候，由于处理器32已经内置有所述映射表，处理器32可直接基于反映该映射表的逻辑电路计算修正的信噪比。
图5为本发明实施例提供的一种映射表1的示意图。在该表1中，指示接收机算法的参数被作为表1的输入1，其包括一系列离散值，如算法1，算法2等。另一输入2为有效信噪比，包括多个取值，分别表示为有效信噪比1，有效信噪比2等。此时的映射表1相当于是一个二维查找表，即通过两个输入映射一个修正结果。处理器32通过将获取的接收机算法的参数和有效信噪比作为2个输入，在表2中查找到对应的修正结果作为修正的信噪比。例如，算法1和有效信噪比1对应修正结果1，而算法2，有效信噪比2对应修正结果x+1。
随着引入的用于修正的参数增加，映射表的输入数量也在增加。在图6显示的映射表2中，除了将有效信噪比和指示接收机算法的参数作为2个输入外，还可以进一步引入三个输入，即干扰信号的传输模式、所述干扰信号的秩、或所述干扰信号的调制方案。这样表2可以认为是一个五维的查找表，包括五个输入，即有效信噪比和参数集合{Φ}中的4个参数，这4个参数分别为接收机算法的参数、干扰信号的传输模式、所述干扰信号的秩、与所述干扰信号的调制方案。处理器32通过该5个输入在查找表2中找到对应的修正结果作为修正的信噪比。可以理解，可以在用户设备30内置多个映射表，多个映射表可以以软件代码的形式存储在存储器31中或另一个存储器中，或者以逻辑电路的形式直接嵌入在处理器32中，用户设备30或处理器32可以决定在多个映射表中使用哪个映射表来确定修正的信噪比。每个映射表的输入可以是两个 或更多，输入的数量具体取决于该映射表所涉及的参数集合{Φ}中包括哪些参数。这些参数除了包括表2中列举的1个或多个参数外，也可以进一步包括其他影响干扰特性的参数，本实施例对此不做限定。所使用的参数的数量越多，表明在修正过程中考虑了更多的因素，此时修正得到的信噪比更加准确。因此随着映射表的输入数量的增多，修正效果会提升。
对于用户设备30而言，干扰信号的数量是1个还是多个取决于用户设备30的实际的使用场景或用户设备30周边的无线网络部署情况。当干扰信号的数量为多个时，可依次针对每个干扰信号修正有效信噪比。具体在该步骤23中，用户设备30或者处理器32可有处理多个干扰信号的能力。具体来说，用户设备30首先计算修正前的有效信噪比，然后遍历所有可能的干扰信号。如果需要针对第i个干扰信号做修正处理，则利用之前实施例中所述的映射表或映射公式计算第i个修正的信噪比。并将这第i个修正的信噪比做为针对下一个，即第i+1干扰信号，进行修正时的输入。其中i为大于等于1且小于等于N的整数，且i的初始值为1。每次迭代后i的值加1，直到i等于N。N则为干扰信号的数量，为大于等于2的整数。也就是说，处理器32可采用迭代方式针对每个干扰信号的参数计算有效信噪比，以提升系统性能。
上述方法的具体迭代过程可以如图7所示。在S71中，处理器32基于所述映射关系进行针对第i个干扰信号修正有效信噪比，即处理器32基于所述映射表或映射公式确定与指示所述当前用户设备所用的接收机算法的参数、N个干扰信号的参数中第i个干扰信号的参数和所述有效信噪比所对应的修正的信噪比。在S72中，判断i是否等于N。如果i等于N则在S73中输出该修正的信噪比作为最终的修正结果。如果i小于N则执行S74，利用所述修正的信噪比替换所述有效信噪比，将i的值加1，并返回步骤S71。通过针对多个干扰信号进行所述修正，本实施例可以进一步提高计算得到的信噪比的准确性。
可选地，该确定信噪比的方法可进一步包括：在S24中，用户设备30或 处理器32可基于计算得到的所述修正的信噪比确定信道状态信息，并上报所述信道状态信息至所述当前用户设备30的服务站点。通过在该确定信噪比的方法中进一步增加信道状态信息上报，即信道反馈的步骤，本实施例等效于是提供了一种信道状态信息上报或信道反馈方法。所述处理器32此时可进一步被划分为用于确定信道状态信息的处理单元和用于上报所述信道状态信息的射频装置(图3中未示出)。所述射频装置可与处理单元位于同一芯片内或分别位于不同的芯片内。其中，本实施例的所述信道状态信息可以包括秩索引(Rank Index,RI)、预编码矩阵指示(Pre-coder Matrix Indicator,PMI)或信道质量指示(Channel Quality Indicator，CQI)中的至少一个。所述CQI可进一步包括宽带CQI或窄带CQI，所述PMI也可进一步包括宽带PMI或窄带PMI，本实施例对此不作限制。由于信道状态信息是基于经过修正的信噪比得到的，因此更能够准确的反映用户设备30在无线通信中使用的信道的实际状态。服务基站基于用户设备30反馈的信道状态信息进行调度也更加准确，提高用户设备30的数据吞吐量，从而提高无线通信系统整体性能。
在图3所示的实施例中处理器32具体可以是一个通信处理器、基带和射频处理器、通用处理单元或无线调制解调器，可用于运行LTE、UMTS或GSM等任一无线通信协议。该处理器32可以在必要的驱动软件的驱动下工作。所述驱动软件可以存储在存储器31内或其他存储单元中。所述驱动软件可以是运行上述无线通信协议的必要协议软件。处理器32可以包括一个或多个芯片，或者处理器32可通过集成电路或其他形式的电路，如印制电路，或二者结合实现。所述集成电路是通过集成电路制程制作在半导体衬底上的电路形式，可包括数字电路或模拟电路中的至少一种。一个芯片则是包括了大量集成电路和外围封装的元件。
下面提供一种本实施例的映射关系的方法示例。生成本领域技术人员可在用户设备30的开发或生产验证中通过如图4所示的方式获得本实施例提到的 映射关系。本领域技术人员可以通过计算机仿真环境构建一个传统接收机仿真程序401和一个改进的接收机仿真程序402。传统接收机仿真程序401用于仿真现有技术中的接收机中信噪比计算方法，改进的接收机仿真程序用于仿真本发明实施例提供的方法。可为两套程序401和402设定一组相同的如之前实施例所述的参数{Φ}。将传统接收机仿真程序401的初始信噪比，即之前实施例所述的SNRno，设定为一个值，使得在这个信噪比值之下该传统接收机仿真程序401的接收准确率，如误帧率达到预设值，如10％。针对改进的接收机仿真程序402，遍历所有可能的SNR值并将这些值依次配置给改进的接收机仿真程序402，并针对每个SNR值计算该改进的接收机仿真程序402接收准确率，如误帧率。通过遍历和反复迭代，直到改进的接收机仿真程序402的接收准确率达到所述预设值，此时的输入改进的接收机仿真程序402的SNR值就是在该组参数{Φ}下SNRno的修正值。也就是说，针对不同组参数{Φ}，通过以上方式可得到多个离散SNRno的值与多个离散SNR值之间的对应关系，从而形成之前所述的映射表。如之前所述，该反映多个离散值之间对应关系的映射表也可以被转化为f()函数，即本领域技术人员可通过函数拟合方法选定合适的f()函数来模拟实际的多个离散值间对应关系。对于如何进行这种拟合，在数学和计算机领域已经有比较普遍的应用，此处不作具体描述。
图8为本发明实施例提供的一种无线通信中确定信噪比的装置80的示意图，其可位于用户设备内部，用于实现对有效信噪比的修正。该装置80可包括：有效信噪比确定单元81，用于基于最小均方误差准则确定无线通信中当前用户设备的接收信号的有效信噪比；参数确定单元82，用于获取用于修正所述有效信噪比的至少一个参数；修正单元83，用于基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。可选地，该装置80可进一步包括：信道状态信息上报单元84，用于基于所述修正的信噪比确定信道状态信息，并上报所述信道状态信息至所述 当前用户设备的服务站点。这些单元中的每个单元所执行的具体对应步骤可参照之前的方法实施例的描述，此处不作赘述。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件，如计算机处理器来完成，所述计算机程序可存储于一计算机可读取存储介质中，该程序在执行时，可包括如上述方法的实施例的流程。其中，所述计算机可读取存储介质可为磁碟、光盘、ROM或RAM等。
以上所述仅为本发明的几个实施例，本领域的技术人员依据申请文件公开的可以对本发明进行各种改动或变型而不脱离本发明的精神和范围。例如本发明实施例的附图中的各个部件具体形状或结构是可以根据实际应用场景进行调整的。

Claims (22)

  1. 一种无线通信中确定信噪比的方法，其特征在于，包括：
    确定无线通信中当前用户设备的接收信号的有效信噪比；
    获取用于修正所述有效信噪比的至少一个参数；
    基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。
  2. 根据权利要求1所述的方法，其特征在于，所述用于修正所述有效信噪比的映射关系为映射公式；其中，所述至少一个参数和所述有效信噪比为所述映射公式的输入，所述修正的信噪比为所述映射公式的输出。
  3. 根据权利要求1所述的方法，其特征在于，所述用于修正所述有效信噪比的映射关系为映射表，该映射表用于指示与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。
  4. 根据权利要求1至3中任一项所述的方法，其特征在于，所述至少一个参数包括如下一个或两个的组合：指示所述当前用户设备所用的接收机算法的参数、和至少一个干扰信号的参数。
  5. 根据权利要求1至3中任一项所述的方法，其特征在于，所述至少一个参数包括指示所述当前用户设备所用的接收机算法的参数。
  6. 根据权利要求5所述的方法，其特征在于，所述至少一个参数还包括N个干扰信号的参数，N是大于等于2的整数；
    所述基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比包括：
    步骤1：基于所述映射关系，确定与指示所述当前用户设备所用的接收机算法的参数、N个干扰信号的参数中第i个干扰信号的参数和所述有效信噪比所对应的修正的信噪比；
    步骤2：利用所述修正的信噪比替换所述有效信噪比，将i的值加1，并重复步骤1，直到i＝N；
    其中，i为大于等于1且小于等于N的整数，且i的初始值为1。
  7. 根据权利要求4或6所述的方法，其特征在于，所述至少一个干扰信号中任一干扰信号是由所述当前用户设备的服务小区的一邻居小区引起的，或者由所述服务小区内的另一用户设备引起，其中所述另一用户设备与所述当前用户设备在所述服务小区是配对的用户设备。
  8. 根据权利要求4或6或7所述的方法，其特征在于，所述至少一个干扰信号中任一干扰信号的参数包括如下一个或多个的组合：所述干扰信号的传输模式、所述干扰信号的秩、所述干扰信号的数据与导频功率比、和所述干扰信号的调制方案。
  9. 根据权利要求4或5所述的方法，其特征在于，所述接收机算法为符号级干扰消除算法或最大似然算法。
  10. 根据权利要求1至9中任一项所述的方法，其特征在于，还包括：
    基于所述修正的信噪比确定信道状态信息；
    上报所述信道状态信息至所述当前用户设备的服务站点。
  11. 根据权利要求1至10中任一项所述的方法，其特征在于，所述无线通信为长期演进LTE无线通信。
  12. 一种无线通信中确定信噪比的装置，其特征在于，包括：
    有效信噪比确定单元，用于确定无线通信中当前用户设备的接收信号的有效信噪比；
    参数确定单元，用于获取用于修正所述有效信噪比的至少一个参数；
    修正单元，用于基于用于修正所述有效信噪比的映射关系，确定与所述至少一个参数和所述有效信噪比所对应的修正的信噪比。
  13. 根据权利要求12所述的装置，其特征在于，所述用于修正所述有效信噪比的映射关系为映射公式，所述修正单元利用所述映射公式计算所述修正的信噪比；其中，所述至少一个参数和所述有效信噪比为所述映射公式的输入， 所述修正的信噪比为所述映射公式的输出。
  14. 根据权利要求12所述的装置，其特征在于，所述用于修正所述有效信噪比的映射关系为映射表，该映射表用于指示与所述至少一个参数和所述有效信噪比所对应的修正的信噪比，所述修正单元利用所述映射表得到所述修正的信噪比。
  15. 根据权利要求12至14中任一项所述的装置，其特征在于，所述至少一个参数包括如下一个或两个的组合：指示所述当前用户设备所用的接收机算法的参数、和至少一个干扰信号的参数。
  16. 根据权利要求12至14中任一项所述的装置，其特征在于，所述至少一个参数包括指示所述当前用户设备所用的接收机算法的参数。
  17. 根据权利要求16所述的装置，其特征在于，所述至少一个参数还包括N个干扰信号的参数，N是大于等于2的整数；
    所述修正单元具体用于执行：
    步骤1：基于所述映射关系，确定与指示所述当前用户设备所用的接收机算法的参数、N个干扰信号的参数中第i个干扰信号的参数和所述有效信噪比所对应的修正的信噪比；
    步骤2：利用所述修正的信噪比替换所述有效信噪比，将i的值加1，并重复步骤1，直到i＝N；
    其中，i为大于等于1且小于等于N的整数，且i的初始值为1。
  18. 根据权利要求15或17所述的装置，其特征在于，所述至少一个干扰信号中任一干扰信号是由所述当前用户设备的服务小区的一邻居小区引起的，或者由所述服务小区内的另一用户设备引起，其中所述另一用户设备与所述当前用户设备在所述服务小区是配对的用户设备。
  19. 根据权利要求15或17或18所述的装置，其特征在于，所述至少一个干扰信号中任一干扰信号的参数包括如下一个或多个的组合：所述干扰信号 的传输模式、所述干扰信号的秩、所述干扰信号的数据与导频功率比、和所述干扰信号的调制方案。
  20. 根据权利要求15或16所述的装置，其特征在于，所述接收机算法为符号级干扰消除算法或最大似然算法。
  21. 根据权利要求12至20中任一项所述的装置，其特征在于，还包括信道状态信息上报单元，用于：
    基于所述修正的信噪比确定信道状态信息；
    上报所述信道状态信息至所述当前用户设备的服务站点。
  22. 根据权利要求12至21中任一项所述的装置，其特征在于，所述无线通信为长期演进LTE无线通信。
PCT/CN2015/082582 2015-06-27 2015-06-27 无线通信中确定信噪比的方法和装置 WO2017000095A1 (zh)

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