WO2014204425A1 - Émission robuste en liaison montante et programmation conjointe de stations de base et compression répartie - Google Patents

Émission robuste en liaison montante et programmation conjointe de stations de base et compression répartie Download PDF

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Publication number
WO2014204425A1
WO2014204425A1 PCT/US2013/045850 US2013045850W WO2014204425A1 WO 2014204425 A1 WO2014204425 A1 WO 2014204425A1 US 2013045850 W US2013045850 W US 2013045850W WO 2014204425 A1 WO2014204425 A1 WO 2014204425A1
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Prior art keywords
base stations
compression
wtrus
signals
base station
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PCT/US2013/045850
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English (en)
Inventor
Seok-Hwan Park
Onur Sahin
Osvaldo Simeone
Ariela Zeira
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Interdigital Patent Holdings, Inc.
New Jersey Institute Of Technology
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Application filed by Interdigital Patent Holdings, Inc., New Jersey Institute Of Technology filed Critical Interdigital Patent Holdings, Inc.
Publication of WO2014204425A1 publication Critical patent/WO2014204425A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/04—Protocols for data compression, e.g. ROHC

Definitions

  • FIG. 2 depicts an example embodiment of an uplink of a cloud radio access network with one or more base stations (BSs) such Home BSs (HBSs) and Macro BSs (MBSs) consistent with embodiments.
  • BSs base stations
  • HBSs Home BSs
  • MBSs Macro BSs
  • FIG. 3 depicts an example embodiment of a cell of a cloud radio access network consistent with embodiments.
  • FIG. 4 depicts an example technique for base station (BS) selection and compression consistent with embodiments.
  • FIG. 5 depicts an example technique for providing an uplink system with compression at a base station (BS) consistent with embodiments.
  • Systems and methods for providing and/or employing distributed source compression schemes at remote radio heads connected to a central processor in an uplink transmission scenario may be provided.
  • the proposed distributed compression schemes may be used when the remote radio heads may have imperfect channel state information in the network
  • FIG. 1A depicts a diagram of an example communications system 100 in which one or more disclosed embodiments may be implemented.
  • the communications system 100 may be a multiple access system that provides content, such as voice, data, video, messaging, broadcast, etc., to multiple wireless users.
  • the communications system 100 may enable multiple wireless users to access such content through the sharing of system resources, including wireless bandwidth.
  • the communications systems 100 may employ one or more channel access methods, such as code division multiple access (CDMA), time division multiple access (TDMA), frequency division multiple access (FDMA), orthogonal FDMA (OFDMA), single- carrier FDMA (SC-FDMA), and the like.
  • CDMA code division multiple access
  • TDMA time division multiple access
  • FDMA frequency division multiple access
  • OFDMA orthogonal FDMA
  • SC-FDMA single- carrier FDMA
  • the communications system 100 may include wireless
  • WTRUs transmit/receive units
  • 102a, 102b, 102c, and/or 102d which generally or collectively may be referred to as WTRU 102
  • RAN radio access network
  • PSTN public switched telephone network
  • the disclosed embodiments contemplate any number of WTRUs, base stations, networks, and/or network elements.
  • Each of the WTRUs 102a, 102b, 102c, and/or 102d may be any type of device configured to operate and/or communicate in a wireless environment.
  • the WTRUs 102a, 102b, 102c, and/or 102d may be configured to transmit and/or receive wireless signals and may include user equipment (UE), a mobile station, a fixed or mobile subscriber unit, a pager, a cellular telephone, a personal digital assistant (PDA), a smartphone, a laptop, a netbook, a personal computer, a wireless sensor, consumer electronics, and the like.
  • UE user equipment
  • PDA personal digital assistant
  • the communications systems 100 may also include a base station 1 14a and a base station 1 14b.
  • Each of the base stations 114a, 114b may be any type of device configured to wirelessly interface with at least one of the WTRUs 102a, 102b, 102c, and/or 102d to facilitate access to one or more communication networks, such as the core network 106/107/109, the Internet 1 10, and/or the networks 1 12.
  • the base stations 1 14a and/or 114b may be a base transceiver station (BTS), a Node-B, an eNode B, a Home Node B, a Home eNode B, a site controller, an access point (AP), a wireless router, and the like. While the base stations 114a, 1 14b are each depicted as a single element, it will be appreciated that the base stations 1 14a, 1 14b may include any number of interconnected base stations and/or network elements.
  • the base station 114a may be part of the RAN 103/104/105, which may also include other base stations and/or network elements (not shown), such as a base station controller (BSC), a radio network controller (RNC), relay nodes, etc.
  • the base station 1 14a and/or the base station 1 14b may be configured to transmit and/or receive wireless signals within a particular geographic region, which may be referred to as a cell (not shown).
  • the cell may further be divided into cell sectors.
  • the cell associated with the base station 1 14a may be divided into three sectors.
  • the base station 1 14a may include three transceivers, i.e., one for each sector of the cell.
  • the base station 114a may employ multiple-input multiple output (MIMO) technology and, therefore, may utilize multiple transceivers for each sector of the cell.
  • MIMO multiple-input multiple output
  • the base station 114b in FIG. 1A may be a wireless router, Home Node B, Home eNode B, or access point, for example, and may utilize any suitable RAT for facilitating wireless connectivity in a localized area, such as a place of business, a home, a vehicle, a campus, and the like.
  • the base station 1 14b and the WTRUs 102c, 102d may implement a radio technology such as IEEE 802.1 1 to establish a wireless local area network (WLAN).
  • the base station 1 14b and the WTRUs 102c, 102d may implement a radio technology such as IEEE 802.15 to establish a wireless personal area network (WPAN).
  • WLAN wireless local area network
  • WPAN wireless personal area network
  • the RAN 103/104/105 may be in communication with the core network 106/107/109, which may be any type of network configured to provide voice, data, applications, and/or voice over internet protocol (VoIP) services to one or more of the WTRUs 102a, 102b, 102c, and/or 102d.
  • the core network 106/107/109 may provide call control, billing services, mobile location-based services, pre-paid calling, Internet connectivity, video distribution, etc., and/or perform high-level security functions, such as user authentication.
  • VoIP voice over internet protocol
  • the networks 112 may include another core network connected to one or more RANs, which may employ the same RAT as the RAN 103/104/105 or a different RAT.
  • base stations 1 14a and 1 14b, and/or the nodes that base stations 1 14a and 1 14b may represent, such as but not limited to transceiver station (BTS), a Node-B, a site controller, an access point (AP), a home node-B, an evolved home node-B (eNodeB), a home evolved node-B (HeNB), a home evolved node-B gateway, and proxy nodes, among others, may include some or all of the elements depicted in FIG. IB and described herein.
  • BTS transceiver station
  • Node-B a Node-B
  • site controller such as but not limited to transceiver station (BTS), a Node-B, a site controller, an access point (AP), a home node-B, an evolved home node-B (eNodeB), a home evolved node-B (HeNB), a home evolved node-B gateway, and proxy nodes, among others, may include some or all of the elements depicted
  • the processor 1 18 may be a general purpose processor, a special purpose processor, a conventional processor, a digital signal processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller,
  • DSP digital signal processor
  • FIG. IB depicts the processor 1 18 and the transceiver 120 as separate components, it may be appreciated that the processor 1 18 and the transceiver 120 may be integrated together in an electronic package or chip.
  • the transmit/receive element 122 may be configured to transmit signals to, or receive signals from, a base station (e.g., the base station 114a) over the air interface 1 15/1 16/117.
  • a base station e.g., the base station 114a
  • the transmit/receive element 122 may be an antenna configured to transmit and/or receive RF signals.
  • the transmit/receive element 122 may be an emitter/detector configured to transmit and/or receive IR, UV, or visible light signals, for example.
  • the transmit/receive element 122 may be configured to transmit and receive both RF and light signals. It will be appreciated that the transmit/receive element 122 may be configured to transmit and/or receive any combination of wireless signals.
  • WTRU 102 may include two or more transmit/receive elements 122 (e.g., multiple antennas) for transmitting and receiving wireless signals over the air interface 1 15/116/117.
  • transmit/receive elements 122 e.g., multiple antennas
  • the transceiver 120 may be configured to modulate the signals that are to be transmitted by the transmit/receive element 122 and to demodulate the signals that are received by the transmit/receive element 122.
  • the WTRU 102 may have multi-mode capabilities.
  • the transceiver 120 may include multiple transceivers for enabling the WTRU
  • UE 102 to communicate via multiple RATs, such as UTRA and IEEE 802.1 1, for example.
  • RATs such as UTRA and IEEE 802.1 1, for example.
  • the processor 118 of the WTRU 102 may be coupled to, and may receive user input data from, the speaker/microphone 124, the keypad 126, and/or the display/touchpad 128 (e.g., a liquid crystal display (LCD) display unit or organic light-emitting diode (OLED) display unit).
  • the display/touchpad 128 e.g., a liquid crystal display (LCD) display unit or organic light-emitting diode (OLED) display unit.
  • the processor 1 18 may further be coupled to other peripherals 138, which may include one or more software and/or hardware modules that provide additional features, functionality and/or wired or wireless connectivity.
  • the peripherals 138 may include an accelerometer, an e-compass, a satellite transceiver, a digital camera (for photographs or video), a universal serial bus (USB) port, a vibration device, a television transceiver, a hands free headset, a Bluetooth® module, a frequency modulated (FM) radio unit, a digital music player, a media player, a video game player module, an Internet browser, and the like.
  • the peripherals 138 may include an accelerometer, an e-compass, a satellite transceiver, a digital camera (for photographs or video), a universal serial bus (USB) port, a vibration device, a television transceiver, a hands free headset, a Bluetooth® module, a frequency modulated (FM) radio unit, a digital music player, a media player, a video game player
  • FIG. 1C depicts a system diagram of the RAN 103 and the core network 106 according to an embodiment.
  • the RAN 103 may employ a UTRA radio technology to communicate with the WTRUs 102a, 102b, and/or 102c over the air interface 1 15.
  • the RAN 103 may employ a UTRA radio technology to communicate with the WTRUs 102a, 102b, and/or 102c over the air interface 1 15.
  • the RAN 103 may employ a UTRA radio technology to communicate with the WTRUs 102a, 102b, and/or 102c over the air interface 1 15.
  • the RAN 103 may employ a UTRA radio technology to communicate with the WTRUs 102a, 102b, and/or 102c over the air interface 1 15.
  • the RAN 103 may employ a UTRA radio technology to communicate with the WTRUs 102a, 102b, and/or 102c over the air interface 1 15.
  • the RAN 103 may employ a U
  • the RAN 103 may also be in communication with the core network 106.
  • the RAN 103 may include Node-Bs 140a, 140b, and/or 140c, which may each include one or more transceivers for communicating with the WTRUs 102a, 102b, and/or 102c over the air interface 1 15.
  • the Node-Bs 140a, 140b, and/or 140c may each be associated with a particular cell (not shown) within the RAN 103.
  • the RAN 103 may also include RNCs 142a and/or 142b. It will be appreciated that the RAN 103 may include any number of Node-Bs and RNCs while remaining consistent with an embodiment.
  • the Node-Bs 140a and/or 140b may be in communication with the
  • RNC 142a may be in communication with the Node-B 140c.
  • the Node-B 140c may be in communication with the RNC142b.
  • Node-Bs 140a, 140b, and/or 140c may communicate with the respective RNCs 142a, 142b via an Iub interface.
  • the RNCs 142a, 142b may be in communication with one another via an Iur interface.
  • Each of the RNCs 142a, 142b may be configured to control the respective Node-Bs 140a, 140b, and/or 140c to which it is connected.
  • each of the RNCs 142a, 142b may be configured to carry out or support other functionality, such as outer loop power control, load control, admission control, packet scheduling, handover control, macrodiversity, security functions, data encryption, and the like.
  • the core network 106 shown in FIG. 1C may include a media gateway (MGW) 144, a mobile switching center (MSC) 146, a serving GPRS support node (SGSN) 148, and/or a gateway GPRS support node (GGSN) 150. While each of the foregoing elements are depicted as part of the core network 106, it will be appreciated that any one of these elements may be owned and/or operated by an entity other than the core network operator.
  • MGW media gateway
  • MSC mobile switching center
  • SGSN serving GPRS support node
  • GGSN gateway GPRS support node
  • the RNC 142a in the RAN 103 may be connected to the MSC 146 in the core network 106 via an IuCS interface.
  • the MSC 146 may be connected to the MGW 144.
  • the MSC 146 and the MGW 144 may provide the WTRUs 102a, 102b, and/or 102c with access to circuit- switched networks, such as the PSTN 108, to facilitate communications between the WTRUs 102a, 102b, and/or 102c and traditional land-line communications devices.
  • the RNC 142a in the RAN 103 may also be connected to the SGSN 148 in the core network 106 via an IuPS interface.
  • the SGSN 148 may be connected to the GGSN 150.
  • the SGSN 148 and the GGSN 150 may provide the WTRUs 102a, 102b, and/or 102c with access to packet-switched networks, such as the Internet 110, to facilitate communications between and the WTRUs 102a, 102b, and/or 102c and IP-enabled devices.
  • the core network 106 may also be connected to the networks 112, which may include other wired or wireless networks that are owned and/or operated by other service providers.
  • FIG. ID depicts a system diagram of the RAN 104 and the core network 107 according to an embodiment.
  • the RAN 104 may employ an E-UTRA radio technology to communicate with the WTRUs 102a, 102b, and/or 102c over the air interface 1 16.
  • the RAN 104 may also be in communication with the core network 107.
  • Each of the eNode-Bs 160a, 160b, and/or 160c may be associated with a particular cell (not shown) and may be configured to handle radio resource management decisions, handover decisions, scheduling of users in the uplink and/or downlink, and the like. As shown in FIG. ID, the eNode-Bs 160a, 160b, and/or 160c may communicate with one another over an X2 interface.
  • the MME 162 may be connected to each of the eNode-Bs 160a, 160b, and/or 160c in the RAN 104 via an S I interface and may serve as a control node.
  • the MME 162 may be responsible for authenticating users of the WTRUs 102a, 102b, and/or 102c, bearer activation/deactivation, selecting a particular serving gateway during an initial attach of the WTRUs 102a, 102b, and/or 102c, and the like.
  • the MME 162 may also provide a control plane function for switching between the RAN 104 and other RANs (not shown) that employ other radio technologies, such as GSM or WCDMA.
  • the serving gateway 164 may be connected to each of the eNode-Bs 160a, 160b, and/or 160c in the RAN 104 via the SI interface.
  • the serving gateway 164 may generally route and forward user data packets to/from the WTRUs 102a, 102b, and/or 102c.
  • the serving gateway 164 may also perform other functions, such as anchoring user planes during inter-eNode B handovers, triggering paging when downlink data is available for the WTRUs 102a, 102b, and/or 102c, managing and storing contexts of the WTRUs 102a, 102b, and/or 102c, and the like.
  • the serving gateway 164 may also be connected to the PDN gateway 166, which may provide the WTRUs 102a, 102b, and/or 102c with access to packet-switched networks, such as the Internet 110, to facilitate communications between the WTRUs 102a, 102b, and/or 102c and IP-enabled devices.
  • the PDN gateway 166 may provide the WTRUs 102a, 102b, and/or 102c with access to packet-switched networks, such as the Internet 110, to facilitate communications between the WTRUs 102a, 102b, and/or 102c and IP-enabled devices.
  • the core network 107 may facilitate communications with other networks.
  • the core network 107 may provide the WTRUs 102a, 102b, and/or 102c with access to circuit- switched networks, such as the PSTN 108, to facilitate communications between the WTRUs 102a, 102b, and/or 102c and traditional land-line communications devices.
  • the core network 107 may include, or may communicate with, an IP gateway (e.g., an IP multimedia subsystem (IMS) server) that serves as an interface between the core network 107 and the PSTN 108.
  • the core network 107 may provide the WTRUs 102a, 102b, and/or 102c with access to the networks 1 12, which may include other wired or wireless networks that are owned and/or operated by other service providers.
  • IMS IP multimedia subsystem
  • FIG. IE depicts a system diagram of the RAN 105 and the core network 109 according to an embodiment.
  • the RAN 105 may be an access service network (ASN) that employs IEEE 802.16 radio technology to communicate with the WTRUs 102a, 102b, and/or 102c over the air interface 117.
  • ASN access service network
  • the communication links between the different functional entities of the WTRUs 102a, 102b, and/or 102c, the RAN 105, and the core network 109 may be defined as reference points.
  • the RAN 105 may include base stations 180a, 180b, and/or 180c, and an ASN gateway 182, though it will be appreciated that the RAN 105 may include any number of base stations and ASN gateways while remaining consistent with an embodiment.
  • the base stations 180a, 180b, and/or 180c may each be associated with a particular cell (not shown) in the RAN 105 and may each include one or more transceivers for communicating with the WTRUs 102a, 102b, and/or 102c over the air interface 117.
  • the base stations 180a, 180b, and/or 180c may implement MIMO technology.
  • the base station 180a may use multiple antennas to transmit wireless signals to, and receive wireless signals from, the WTRU 102a.
  • the base stations 180a, 180b, and/or 180c may also provide mobility management functions, such as handoff triggering, tunnel establishment, radio resource management, traffic classification, quality of service (QoS) policy enforcement, and the like.
  • the ASN gateway 182 may serve as a traffic aggregation point and may be responsible for paging, caching of subscriber profiles, routing to the core network 109, and the like.
  • the air interface 1 17 between the WTRUs 102a, 102b, and/or 102c and the RAN 105 may be defined as an Rl reference point that implements the IEEE 802.16 specification.
  • each of the WTRUs 102a, 102b, and/or 102c may establish a logical interface (not shown) with the core network 109.
  • the logical interface between the WTRUs 102a, 102b, and/or 102c and the core network 109 may be defined as an R2 reference point, which may be used for authentication, authorization, IP host configuration management, and/or mobility management.
  • cloud radio access networks may be used where a baseband processing of base stations (BSs) may be migrated to or integrated into a central unit in a "cloud” or the Internet to which the BSs may be connected via backhaul links such that an effective implementation of network MIMO that may simplifying the deployment and management of BSs and may reduce BS energy consumption may be enabled.
  • BSs may operate as terminals that may relay "soft" information to a cloud decoder regarding received baseband signals. Perhaps since the signals received at different BSs may be correlated, among other reasons, distributed source coding strategies may be used.
  • cloud radio access networks may be used where a baseband processing of base stations (BSs) may be migrated to or integrated into a central unit in a "cloud” or the Internet to which the BSs may be connected via backhaul links such that an effective implementation of network MIMO that may simplify the deployment and management of BSs and may reduce BS energy consumption may be enabled.
  • BSs base stations
  • cloud Internet
  • distributed compression e.g. compression with distributed source coding in the presence of multi-antenna BSs by focusing on robustness and efficiency
  • distributed source coding strategies may be potentially beneficial and may be implemented via sequential source coding with side information.
  • available compression strategies based on the criteria of maximizing an achievable rate or minimizing a mean square error may be used.
  • one or more, or each BS may use information about a specific covariance matrix to realize an advantage of distributed source coding. Since such a covariance matrix may depend on channel realizations
  • the systems and/or methods disclosed herein may be applicable to and used with a UE, an eNB, a Het-Nets, Remote Radio Heads, across L1-L2, and the like. Additionally, the same notation for probability mass functions (pmfs) and probability density functions (pdfs), namely p(x) represents the distribution, pmf or pdf, of random variable X may be used. Similar notations may also be used for joint and conditional distributions. In an example embodiment, the schemes, equations, and/or algorithms disclosed herein may be in base two (e.g. unless specified).
  • a cluster of cells that may include a total number B of BSs, one or more, or each, being either a MBS or a HBS, may be provided and/or used (e.g. as shown in FIG. 2).
  • M active MSs may also be provided and/or used.
  • FIG. 2 depicts an example embodiment of an uplink of a cloud radio access network with one or more base stations (BSs) such Home BSs (HBSs) and Macro BSs (MBSs).
  • BSs base stations
  • HBSs Home BSs
  • MMSs Macro BSs
  • the distribution ⁇ ( ⁇ ) of the signal that may be transmitted by the ith MS may be given as x z - ⁇ CN (0, ⁇ Xi - ) for a given covariance matrix ⁇ xi .
  • the BSs may communicate with the cloud by providing, for example, the cloud with soft information derived from the received signal.
  • compression strategies that may not involve the BSs knowing one or more codebooks such as a constellation set, MCS level, and the like may be provided, used, and/or employed by the MSs.
  • a compression strategy for the ith BS may be provided and/or defined by a test channel p(yi ⁇ y ⁇ ) that may describe the relationship between the signal to be compressed, namely y i; and its description y t to be communicated to the cloud.
  • the quantization effect may be equivalently modeled by adding Gaussian noise q ; according to an embodiment.
  • the correlation matrix of such noise may be an identity matrix since component-wise quantization may be provided and/or used.
  • the resolution of the quantization codebook may be controlled by adjusting the linear transform matrix A ; .
  • each compression output element may be controlled via diagonal matrix diag( « j , ⁇ ⁇ ⁇ , « ) , which may mean that if a, > a m (I ⁇ m e ⁇ 1, ... , n B i ⁇ ) , the / th element may be compressed with resolution better than the m th element.
  • such compression may be limited to Q bits per received symbol.
  • the size of quantization codebook may satisfy ⁇ & ⁇ . ⁇ C ; .
  • the cloud may decode jointly the signals x of the MSs based on the descriptions y t for i E N B . From standard information-theoretic considerations, the achievable sum-rate may be given by
  • the sum-rate metric (e.g. mutual information ⁇ ( ⁇ ; ⁇ ) ) may then be computed as a function of system parameters such as SNR, input distribution p(x) and/or channel matrices H ; together (perhaps in some embodiments) with the linear transformer A ; for i e V M .
  • the size of codebooks adopted by the MSs may be determined (e.g. perhaps assuming successive decoding at the cloud decoder in one or more embodiments).
  • s may include each ; with i £ S and similarly for Ys and $3 ⁇ 4 ⁇
  • FIG. 5 depicts an example of a technique (e.g. that may provide and/or use Algorithm 1) for providing an uplink with compression at a base station (BS).
  • BS base station
  • channel information may be received and/or acquired.
  • An order for one or more BSs may be determine for compression at 8004.
  • correlation matrices may be reported or provided and, at 8008, compression strategies or schemes may be determined (e.g. a test channel may be computed).
  • Rate control may be performed at 8010 (e.g. a sum-rate may be computed, a codebook may be determined, and/or a codebook index may be provided or reported).
  • uplink e.g. that may provide and/or use Algorithm 1
  • communications may be provided (e.g. a signal may be generated from the codebook and a signal correlated may be provided and/or received).
  • a compression may be performed (e.g. a signal such as received signal may be compressed based on a test channel).
  • decoding may be performed (e.g. a signal that may be generated based on the codebook may be decoded (e.g. jointly) based on, for example, the descriptor or the compressed signal).
  • the sum-rate may be maximized as described herein.
  • a greedy approach may be used for maximizing the sum-rate (4).
  • Such a greedy approach may be part of a compression method such as, at 8004 (e.g. for BS ordering for compression) and, at 8008 (for compression strategies), in FIG. 5.
  • the sum-rate (4) may be maximized under the constraints (5). For example, if a search may be restricted to the vertices of the rate region (5), a solution (e.g. a suboptimal solution) may be obtained by solving the problem maximize i ' (x: ' ,3 ⁇ 4 ;. ⁇
  • optimization may be subject to the constraints (6) and the optimization space may include the BS permutation ⁇ .
  • the problem (7) may still be complex.
  • a greedy approach in Algorithm 1 may be used on or applied to the selection of the permutation ⁇ while optimizing the test channels p(y £ ⁇ y t ) at one or more, or each, phase of the greedy approach or algorithm.
  • the greedy algorithm may be based on the chain rule for the mutual information that may enable or allow the sum-rate (4) to be written as
  • a permutation ⁇ * may be obtained and may be feasible (e.g. in the sense of satisfying constraint (5)) test channels V * (yAyd-
  • the compression based on (9) in Algorithm 1 may be referred to as Max-Rate compression, for example.
  • the max-rate or maximized sum-rate may be compressed as described herein.
  • the random vectors involved in problem (9) may satisfy the Markov chain y s ⁇ x ⁇ y z - ⁇ y i
  • Algorithm 1 or the greedy approach to the selection of the ordering ⁇ and the test channels P(9i ⁇ yd ma Y be provided or defined as follows.
  • the following may be performed.
  • One or more, or each ith BS with i G ⁇ - S may evaluate a test channel ⁇ Pl ⁇ ' * 13 ' 3 ⁇ 4 ) by solving the problem maximize J(x;
  • an optimal value of such a problem may be denoted as ⁇ * ⁇ and an optimal test channel as P $>
  • ⁇ x ⁇ ; , s ⁇ x. - ⁇ x 3 ⁇ 4 (3 ⁇ 4 ⁇ x i3 ⁇ 4 4- H ts ) ' 3 ⁇ 4 ⁇ z .
  • g(-) may be a function such as a MMSE estimate that may be affected at the decoder's side.
  • the constraint in problem (17) may involve mutual information that may not be conditioned on y s as the side information at the cloud may not be leveraged.
  • indirect MMSE with no side information may be provided and/or used.
  • a compression e.g. a potentially better compression
  • the optimal compression resulting from the solution of problem (9) at the z ' th BS may depend on the covariance matrix ⁇ x ⁇ y s in (13) of the vector of transmitted signals that may be conditioned on the compressed version y s of the signals received by the BSs in set 5 * .
  • the y s may be available at the cloud decoder.
  • matrix ⁇ x ⁇ y s may be known (e.g. perfectly known) at the z ' th BS as it may depend on the channel matrices of all BSs in the set S (e.g.
  • the error matrix ⁇ 5 may belong (e.g. may be known to belong to) a set 3 ⁇ 4i : ⁇ H. I,M , which may model the uncertainty at the z ' th BS regarding matrix ⁇ x ⁇ ys .
  • one or more bounds may be imposed on given measures of the eigenvalues and/or eigenvectors of matrix ⁇ 5 .
  • the uncertainty set UA may be defined as the set of Hermitian matrices l x 9s such that conditions min (2 3 ⁇ 4
  • the problem of deriving the optimal robust compression strategy may be formulated as
  • such a BS selection may use an exhaustive search of exponential complexity in the number Ng of BSs.
  • an efficient approach based on the addition of a sparsity-inducing term to an objective function may be provided and/or used.
  • y t may be conditioned, for example, to account for the fact that the MBS may be active.
  • the second term in the objective of problem (34) may be the -norm of vector [ tr(0 2 ) ⁇ ti Av ® ) ] ⁇ If the cost qii may be large enough, this term may force the solution to set some of the matrices ⁇ ; to zero, thus keeping the corresponding z ' th HBS inactive.
  • problem (34) may be modified by replacing the ⁇ 0 -norm with the l ⁇ - norm of the same vector. Problem (34) may, thus, be reformulated as follows: maxmux i ' n.... ⁇ 35)
  • the foregoing may be repeated if convergence criterion may not be satisfied and otherwise may be stopped (e.g. the algorithm may be terminated).
  • a signal may be generated from the codebook and a signal correlated may be provided and/or received).
  • a compression may be performed (e.g. a signal such as a received signal may be compressed based on a test channel).
  • decoding may be performed (e.g. a signal that may be generated based on the codebook may be decoded (e.g. jointly) based, for example, descriptions or the compressed signal).
  • problem (36) of a proposed algorithm may be solved as described herein.
  • Such a solution or embodiment may correspond to the update of ⁇ ; when the other variables may be fixed to the values obtained from previous iterations.
  • the global maximum of problem (36) may be obtained as shown below (e.g. in Theorem 2).
  • the Lagrange multiplier ⁇ * may be obtained as follows. If hi(0) ⁇ Cj, where C t may be given by,
  • Examples of computer-readable storage media include, but are not limited to, a read only memory (ROM), a random access memory (RAM), a register, cache memory, semiconductor memory devices, magnetic media such as internal hard disks and removable disks, magneto-optical media, and optical media such as CD-ROM disks, and digital versatile disks (DVDs).
  • ROM read only memory
  • RAM random access memory
  • register cache memory
  • semiconductor memory devices magnetic media such as internal hard disks and removable disks, magneto-optical media, and optical media such as CD-ROM disks, and digital versatile disks (DVDs).
  • a processor in association with software may be used to implement a radio frequency transceiver for use in a WTRU, UE, terminal, base station, RNC, or any host computer.

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne des systèmes, des procédés et/ou des techniques destinés à doter une liaison montante d'une compression. De tels systèmes, procédés et/ou techniques peuvent comprendre une étape consistant à effectuer une programmation conjointe de stations de base et une compression répartie. La programmation conjointe de stations de base et la compression répartie peuvent comprendre un algorithme de sélection conjointe et de compression en deux phases. De plus, la programmation conjointe de stations de base et la compression répartie peuvent être configurées pour être effectuées conjointement en utilisant une optimisation induisant la rareté. Une matrice de covariance, des informations de canal, une matrice de corrélation, une matrice de transformation linéaire, une métrique de débit sommé, une stratégie de compression, un répertoire déterminé, un terme induisant la rareté, un algorithme d'ascension de coordonnées de blocs, un ou plusieurs canaux de tests, un critère de convergence, etc., peuvent également être utilisés pour effectuer la programmation conjointe de stations de base et la compression répartie.
PCT/US2013/045850 2012-06-14 2013-06-14 Émission robuste en liaison montante et programmation conjointe de stations de base et compression répartie WO2014204425A1 (fr)

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CN114245344A (zh) * 2021-11-25 2022-03-25 西安电子科技大学 一种车联网不确定信道状态信息鲁棒功率控制方法及系统
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CN111756459A (zh) * 2019-03-29 2020-10-09 华为技术有限公司 一种同步信号发送和接收的方法及装置
CN111756459B (zh) * 2019-03-29 2021-11-19 华为技术有限公司 一种同步信号发送和接收的方法及装置
US11956803B2 (en) 2019-03-29 2024-04-09 Huawei Technologies Co., Ltd. Method and apparatus for determining transmission resource
CN114245344A (zh) * 2021-11-25 2022-03-25 西安电子科技大学 一种车联网不确定信道状态信息鲁棒功率控制方法及系统

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