Broadcom Corporation

Texas Instruments Corporation

Bell Communications Research, Inc.

At+t Corp.

Other

Lucent Technologies Inc.

Avago Technologies General IP Pte, Ltd.

Sirikiat Lek Ariyavisitakul

Joonsuk Kim

Eric Jon Ojard

Manoneet Singh

Mark Kent

Jun Zheng

Vinko Erceg

Ba-Zhong Shen

Tak Kwan Lee

Nelson Ray Sollenberger

Kelly Brian Cameron

Louay A Jalloul

Amin Mobasher

Hamilton W Arnold

Dae Won Lee

James D Bennett

Nambirajan Seshadri

Matthew James Fischer

Peiman Amini

Carlos Horacio Aldana

Li Fung Chang

Arogyaswami J Paulraj

Yan E Wang

Uri M Landau

Sheryl Leigh Woodward

Sam Padinjaremannil Alex

Nihar Jindal

Murat Mese

Ye Li

Joseph Paul Lauer

Justin C Chuang

Lawrence Joel Greenstein

Louay Jalloul

Daewon Lee

Bruce R Kendall

Jun c/o Broadcom Corporation Zheng

Systems and methods for enabling a wireless backhaul network between access points (APs) in a wireless network are provided. In an embodiment, the wireless backhaul network is enabled using a Massive Multiple Input Multiple Output (MIMO) radio access technology (RAT). In another embodiment, the wireless backhaul network is established using the same RAT as used by the APs to serve user devices, and can utilize the same time and frequency resources used for user communication.

Massive MIMO (M-MIMO) support for heterogeneous networks (HetNets)

Embodiments include systems and methods for improving the beamforming efficiency of Multi-User Multiple Input Multiple Output (MU-MIMO) and/or Coordinate Beamforming (CB) in wireless multi-access networks. In one aspect, a receiver-aided approach for MU-MIMO and/or CB is provided. Unlike conventional MU-MIMO/CB operation which is transparent to the UE, the receiver-aided approach herein makes information about potential MU-MIMO and/or CB multi-user interference available to UEs being considered for MU-MIMO and/or CB transmission. As such, the UEs can provide Channel State Information (CSI) that is better tailored to actual data transmission conditions than in conventional operation, and the base station can make better decisions regarding MU-MIMO and/or CB operation, user selection, and transmission parameters (e.g., number of data streams, precoder matrix, etc.).

Receiver-aided multi-user MIMO and coordinated beamforming

A wireless access point includes a wireless transceiver configured to provide coordinated multipoint communications with at least one non-legacy device of a plurality of remote devices via a wireless local area network protocol. The coordinated multipoint communications are coordinated with at least one other wireless access point in accordance with coordination data.

Wireless communication system with coordinated multipoint operation and methods for use therewith

The present disclosure is directed to a system and method for extending a reference signal pattern to define additional reference signals using a phase division multiplexing (PDM) technique. The reference signal pattern can be a predefined reference signal pattern in a wireless communication standard and can be extended to support massive MIMO communication.

Reference signal design for massive MIMO communication

Group identification and definition within multiple user, multiple access, and/or MIMO wireless communications. A group identification definition field may be transmitted to a number of receiving devices for use in interpreting current or subsequently received packets that include a group identification field (group ID). The group ID can serve a number of functions such as indicating those receiving devices for which the packet is intended, the identification of fields within the packet corresponding to the various devices, certain parameters (e.g., code type, code rate, modulation type, etc.) associated with such fields within the packet, etc. The group identification definition field may be updated or modified to allow for modification of the manner in which subsequent packets, including respective group IDs, are processed. One of a variety of events may direct the group identification definition field may be updated or modified.

Group identification and definition within multiple user, multiple access, and/or MIMO wireless communications

In transmit pre-coding, a bandwidth and a feedback period to one or more CQI reporting units and a bandwidth and a feedback period to one or more PMI reporting units are assigned, respectively. Sub-divisions in time and/or frequency corresponding to the assigned bandwidths and the assigned feedback periods are dynamically adjusted based at least on uplink channel state information corresponding to the bandwidth and the feedback period assigned to the CQI reporting units, and the bandwidth and the feedback period assigned to the PMI reporting units. One or more feedback messages are generated based at least on the channel state information over the adjusted sub-divisions in time and/or frequency corresponding to the CQI reporting units and to the PMI reporting units, respectively. The bandwidth and/or the feedback period may be assigned based on the channel state information or as a function of a feedback rate.

Method and system for adaptive allocation of feedback resources for CQI and transmit pre-coding

Aspects of a method and system for CQI/PMI feedback for precoded MIMO systems utilizing differential codebooks may include generating one or more feedback messages for one or more Channel Quality Indicator (CQI) reporting units based on at least channel state information associated with the one or more CQI reporting units. One or more differential feedback messages may be generated for one or more Pre-coding Matrix Index (PMI) reporting units based on at least channel state information associated with the one or more PMI reporting units, wherein the one or more PMI reporting units span a useable bandwidth. A bandwidth and a feedback period may be assigned to each of the one or more CQI reporting units and the one or more PMI reporting units to define the one or more CQI reporting units and the one or more PMI reporting units.

Method and system for CQI/PMI feedback for precoded MIMO systems utilizing differential codebooks

A method and system for iterative discrete Fourier transform (DFT) based channel estimation using minimum mean square error (MMSE) techniques are presented. Aspects of the method and system include a procedure for computing channel estimates in both the time domain and frequency domain (or mixed domain) using an iterative DFT method based on MMSE techniques. One aspect of the method and system may achieve low computational complexity and produce more accurate channel estimate values in low signal to noise ratio (SNR) regimes in comparison to conventional DFT-based channel estimation methods, which utilize least squares (LS) techniques. The method and system disclosed herein may be practiced in connection with a wide range of orthogonal frequency division multiplexing (OFDM) based systems, for example wireless local area networks (WLAN, for example IEEE 802.11 WLAN systems), and LTE systems.

Method and system for iterative discrete fourier transform (DFT) based channel estimation using minimum mean square error (MMSE) techniques

A method and system for communicating feedback information in a multiple user multiple input multiple output (MU-MIMO) communication system are presented. In one aspect of the method and system, a beamformer station may communicate a feedback information request to a plurality of beamformee stations. The feedback information request may request feedback data for a plurality of RF channel bands. The RF channel bands may form a multichannel. The beamformer may subsequently transmit a plurality of signals utilizing the RF channel bands within the multichannel. Each of the beamformees may receive the plurality of subsequently transmitted signals. A beamformee may generate the requested feedback data for each RF channel band within the multichannel. The beamformee may generate a beamforming report, which comprises the feedback data, which is generated across the plurality of RF channel bands in the multichannel. The beamformee may transmit the beamforming report to the beamformer.

Method and system for communicating feedback information in a multiple user multiple input multiple output (MU-MIMO) communication system

A method and system for beamforming in a multiple user multiple input multiple output (MIMO) communication system using a codebook may include a processor in a node B that enables generation of an interference cancellation matrix (W). The interference cancellation matrix, also referred to as a matched filter, may enable a composite signal (Y) to be represented as a plurality of subsidiary signals (y), each of which is transmitted by the node B for reception at a corresponding iUE station. Each of the subsidiary signals ymay be generated based on a corresponding one of a plurality of data stream signals (x). The processor may enable generation of a precoding matrix (W) based on the interference cancellation matrix. A transmitter within the node B may enable generation of a plurality of signals based on the precoding matrix. The signals may be transmitted via a wireless communication medium.

Method and system for beamforming in a multiple user multiple input multiple output (MIMO) communication system using a codebook

Aspects of a method and system for predicting CQI values for ML detection in a 2&#xd7;2 MIMO system are presented. In one aspect of the system, a CQI value for a MIMO communication system may be computed based on a computed channel realization by reverse mapping the computed channel realization to a corresponding CQI value. Based on the computed CQI value, a coding rate may be selected. The coding rate may be selected from a lookup table, wherein the computed CQI value is utilized as an index to the lookup table. The reverse mapping may utilize a function, which is computed using radial basis function networks. In another aspect of the system, a joint mutual information value may be computed for the MIMO communication system. The joint mutual information value may be computed based on a Shannon mutual information value and a matched filter mutual information value.

Method and system for predicting channel quality index (CQI) values for maximum likelihood (ML) detection in a 2&#xd7;2 multiple input multiple output (MIMO) wireless system

A method and system for beamforming signal transmission under a per-antenna power constraint is presented. In one aspect, a multiple input multiple output (MIMO) transmitting station may compute a per-antenna power gain factor for each of a plurality of transmit chain signals. The transmit chain signals may be concurrently transmitted by a plurality of transmitting antennas at the MIMO transmitting station. The plurality of transmit chain signals may correspond to beamforming signals, which are generated by performing spatial mapping on a plurality of space-time signals. The plurality of power gain factors may be computed based on a per-antenna power constraint. Alternatively, the plurality of power gain factors may be computed based on joint per-antenna power and total-power constraints. Each of the transmit chain signals may be amplified or attenuated based on the corresponding antenna gain factor. The amplified or attenuated signal is then transmitted by the corresponding transmitting antenna.

Method and system for beamforming signal transmission under a per-antenna power constraint

Flexible rate matching. No constraints or restrictions are placed on a sending communication device when effectuating rate matching. The receiving communication device is able to accommodate received transmissions of essentially any size (e.g., up to an entire turbo codeword that includes all systematic bits and all parity bits). The receiving communication device employs a relatively small-sized memory to ensure a lower cost, smaller sized communication device (e.g., handset or user equipment such as a personal wireless communication device). Moreover, incremental redundancy is achieved in which successive transmissions need not include repeated information therein (e.g., a second transmission need not include any repeated information from a first transmission). Only when reaching an end of a block of bits or codeword to be transmitted, and when wrap around at the end of such block of bits or codeword occurs, would any repeat of bits be incurred within a later transmission.

Flexible rate matching

Virtual limited buffer modification for rate matching. A reduced-size memory module is employed within a communication device to assist in storage of log-likelihood ratios (LLRs) employed in accordance with turbo decoding. This architecture is also applicable to other types of error correction code (ECC) besides turbo code as well. The memory size is selected to match the number of coded bits (e.g., including information bits and redundancy/parity bits) that is included within a transmission. The received signals may be various transmissions made in accordance with hybrid automatic repeat request (HARQ) transmissions. When the LLRs calculated from a first HARQ transmission is insufficient to decode, those LLRs are selectively stored in the memory module. When LLRs corresponding to a second HARQ transmission is received, LLRs corresponding to both the first HARQ transmission and the second HARQ transmission are passed from the memory module for joint use in decoding.

Virtual limited buffer modification for rate matching

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Tinton Falls, NJ, United States of America

Sirikiat Lek Ariyavisitakul