Rf Dsp Inc.

Boyu Li

Ping Liang

Dengkui Zhu

Yiming Ma

Jason Brent

This invention presents a method and systems for beamforming in wireless communication comprising a base station with a plural of antennas and radio frequency transmitting and receiving chains, a plural of base band transmitting paths and base band receiving paths, and a processor that constructs a subspace for each user equipment using the principal angle information contained in partial channel state information obtained on channels associated with a part of the BS antennas, derives an analog beamforming matrix and/or an analog combining matrix from the subspaces of all the user equipment selected for communication with the base station to achieve analog beamforming, and further performs beamforming at the base band.

Hybrid beamforming method for wireless multi-antenna and frequency-division duplex systems

This invention discloses methods to enhance Physical Layer (PHY) processing in a radio access network between a Base Station (BS) and one or more User Equipment (UEs), including enhanced Hybrid Automatic Repeat Request (HARQ) management, transmitting path processing to reduce transfer bandwidth between an offload processor and a CPU, and offload processing to reduce HARQ latency.

HARQ management to enhance performance, reduce overhead and latency

This invention presents a channel emulator for testing a multi-user multiple input multiple output (MU-MIMO) wireless communication system using an over-the-air (OTA) connection between the antennas of a base station (BS) and the channel emulator. It uses pilot signals with special structures to estimate the channel matrix between the BS and the channel emulator, equalizes the channel when performing emulation of the channels between the BS and a plural of user equipment (UEs) in MU-MIMO communication.

Over-the-air channel state information acquirement for a massive MIMO channel emulator with over-the-air connection

This invention presents methods for MU-MIMO wireless communication systems comprising a BS with plural of antennas, either closely located or distributed; A plural of AFRs deployed over a coverage area, each AFR has N&#x2265;1 BF antennas with a beam pattern facing the MU-BFer and N&#x2265;1 UF antennas with a beam pattern facing UEs or downstream AFR(s); A channel estimation module for estimating the Total Channels between a plural of UEs and the BS with the AFRs in place; and, A MU-BFer that uses the estimates of the Total Channels to perform beamforming computations for transmitting and/or receiving multiple spatially multiplexed streams of signals to or from a plural of UEs using the same frequency resource.

Beamforming in a MU-MIMO wireless communication system with relays

This invention presents methods for MU-MIMO wireless communication systems comprising a BS with plural of antennas, either closely located or distributed; A plural of AFRs deployed over a coverage area, each AFR has N_BF&#x2265;1 BF antennas with a beam pattern facing the MU-BFer and N_UF&#x2265;1 UF antennas with a beam pattern facing UEs or downstream AFR(s); A channel estimation module for estimating the Total Channels between a plural of UEs and the BS with the AFRs in place; and, A MU-BFer that uses the estimates of the Total Channels to perform beamforming computations for transmitting and/or receiving multiple spatially multiplexed streams of signals to or from a plural of UEs using the same frequency resource.

This invention presents methods for power allocation for each data stream on each transmitting antennas in MU-MIMO wireless communication systems comprising the BS computing the temporary beamforming matrix, constructing special matrices and vectors with the maximum transmitting power on each antenna, the allocated power to each data stream, the channel quality of each data stream, and the amplitude of each element of the temporary beamforming matrix, calculating the power allocated to each data stream on each antenna with the calculated special matrices and vectors, and adjusting each element of the temporary beamforming matrix to obtain the final beamforming matrix.

Power allocation and precoding matrix computation method in a wireless communication system

This invention presents a millimeter wave (mmWave) Customer Premise Equipments (CPEs) employing a forward processing equipment, such as a small cell, a decode-and-forward repeater, an amplify-and-forward repeater, etc., that is able to simultaneously serving its local customer premise and another or other mmWave CPEs; and a method for a Base-Station (BS) to provide mmWave backhaul links to multiple mmWave CPEs where a mmWave CPE within the Line-of-Sight (LoS) coverage of the BS is directly served by the BS in one set of time-frequency-spatial resources, while a mmWave CPE out of the LoS coverage of the BS is served by another a mmWave CPE within or out of the LoS coverage of the BS in another set of time-frequency-spatial resources.

Enhanced customer premise equipment

This invention presents a millimeter wave (mmWave) Distributed Wireless Smart Antenna (DWSA) or scanning-capable repeater that can form different radio wave beam patterns to scan for spatial beam direction(s) or beam alignment to build one or more mmWave wireless links with one or more User Equipment, and complete pass-through beamforming with one or more central base stations.

Distributed wireless antennas and millimeter wave scanning repeater

This invention provides methods for Distributed Massive MIMO (DM-MIMO) that use one or more central Baseband Units (BBUs), one or more Multi-User Beamformers for each BBU performing multi-user MIMO computations, and a number of RRHs distributed over a geographic area.

Beamforming in a MU-MIMO wireless communication system

This invention presents methods for estimating the uplink SINR and channel estimation error level in MU-MIMO wireless communication systems comprising the BS obtaining the channel coefficients between each receiving antenna of a BS and a transmitting antenna of a UE in the uplink; for the BS estimating the SU-MIMO SINR of a UE using the channel coefficients between a UE and the BS; for the BS estimating the channel estimation error level of a UE using the channel coefficients between a UE and the BS.

Uplink signal to interference plus noise ratio estimation for massive MIMO communication systems

This invention presents a Wireless Smart Antenna apparatus (WSA) comprising a Base Station Side Radio Unit (BSSRU) and a User Equipment Side Radio Unit (UESRU), wherein if a BSSRU is distributed in the coverage area of a Base Station (BS), the BSSRU communicates with one or more (BSs) using a first frequency band Fand simultaneously communicates with one or more UESRUs using a second frequency band F, or if a BSSRU is integrated into a BS, the BSSRU communicates with the BS baseband through circuits and communicates with one or more UESRUs using the second frequency band F, wherein a UESRU communicates with one or more distributed or integrated BSSRUs using the second frequency band Fand simultaneously communicates with one or more User Equipment (UEs) using the first frequency band F, wherein one or more WSAs enable Multi-User Multiple Input Multiple Output spatial multiplexing in the Ffrequency band with UEs distributed over their coverage areas.

Wireless communication using wireless active antennas

This invention presents a method for frequency resource allocation in a MU-MTMO system comprising assigning UEs with CQI higher than a predefined value and/or CEE lower than a predefined value and/or SII lower than a predefined value to a first group and the rest UEs to a second group, allocating different frequency resource to each group, and applying different precoding or decoding algorithm to each group.

Frequency resource allocation in MU-MIMO systems

This invention presents methods for MU-MIMO wireless communication systems comprising a BS with plural of antennas placed as a linear array or planar array, plural of UEs, for conducting two-level signal processing at the BS to reduce the system implementation complexity, i.e., the RF precoding/combination and the baseband precoding/detection, for the BS to obtain the second-order statistical information of the channel matrix of each UE to computing the RF precoding matrix through a much smaller number of pilots than that of the transceiving antennas at the BS, where the second-order statistical information of the channel matrix can be obtained through the uplink reference signals or downlink reference signals plus uplink feedback.

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Irvine, CA, United States of America

Boyu Li