Abstract: A wireless communication system non-collaborative, multiple input, multiple output (MIMO) space division multiple access (SDMA) system determines subscriber station combining and weighting vectors that yield a high average signal-to-interference plus noise ratio (SINR). Each subscriber station independently transmits information to a base station that allows the base station to determine a weight vector wi for each subscriber station using the determined combining vector of the subscriber station. The ith combining vector corresponds to a right singular vector corresponding to a maximum singular value of a channel matrix between a base station and the ith subscriber station. Each subscriber station transmits signals using a weight vector vi, which corresponds to a left singular vector corresponding to a maximum singular value of a channel matrix between the ith subscriber station and the base station. The base station uses the weight vector wi to determine the signal transmitted by the ith subscriber station.

Abstract: A millimeter-wave wireless multiple antenna system (80) and method (100) are provided in which a UE (120) uses a multi-antenna subsystem (81) to identify a plurality of m strongest transmit beams (122) from the base station (110) based on power measurements of a plurality of synchronization signal blocks (SSBs) transmitted on a corresponding plurality of transmit beams by the base station (110), and to generate a composite uplink random access channel (RACH) preamble (123) that is sent (124) to the base station (110) to identify the plurality of m strongest transmit beams and relative weights for each of the plurality of m strongest transmit beams which are used by the base station (112) to generate an optimal downlink transmit beam for use in sending a RACH response to the UE (120).

Abstract: A wireless multiple antenna system (200) uses a multi-antenna subsystem (211) to generate a composite sample waveform by continuously sweeping a plurality of receive beams (RX1-RXM) during each SSB transmission in a plurality of transmit beams (TX1-TX64), generating a composite received signal strength metric value from a batch of samples collected over the plurality of receive beams to determine the presence of the SSB, and then jointly searching the composite sample waveform for an optimal receive beam and an SSB frequency of any detected SSB that are used by the UE (210) to perform a cell search which matches a transmit beam from the base station (201) to the optimal receive beam.

Abstract: A millimeter-wave wireless multiple antenna system (80) and method (100) are provided in which a UE (120) uses a multi-antenna subsystem (81) to identify a plurality of m strongest transmit beams (122) from the base station (110) based on power measurements of a plurality of synchronization signal blocks (SSBs) transmitted on a corresponding plurality of transmit beams by the base station (110), and to generate multiple uplink random access channel (RACH) preambles (123) that is sent (124) to the base station (110) to identify the plurality of m strongest transmit beams and relative weights for each of the plurality of m strongest transmit beams which are used by the base station (112) to generate an optimal downlink transmit beam for use in sending a RACH response to the UE (120).

Abstract: A wireless multiple antenna system (200) uses a multi-antenna subsystem (211) to generate a composite sample waveform by continuously sweeping a plurality of receive beams (RX1-RXM) during each SSB transmission in a plurality of transmit beams (TX1-TX64), generating a composite received signal strength metric value from a batch of samples collected over the plurality of receive beams to determine the presence of the SSB, and then jointly searching the composite sample waveform for an optimal receive beam and an SSB frequency of any detected SSB that are used by the UE (210) to perform a cell search which matches a transmit beam from the base station (201) to the optimal receive beam.

Abstract: A wireless communication system non-collaborative, multiple input, multiple output (MIMO) space division multiple access (SDMA) system determines subscriber station combining and weighting vectors that yield a high average signal-to-interference plus noise ratio (SINR). Each subscriber station independently transmits information to a base station that allows the base station to determine a weight vector wi for each subscriber station using the determined combining vector of the subscriber station. The ith combining vector corresponds to a right singular vector corresponding to a maximum singular value of a channel matrix between a base station and the ith subscriber station. Each subscriber station transmits signals using a weight vector vi, which corresponds to a left singular vector corresponding to a maximum singular value of a channel matrix between the ith subscriber station and the base station. The base station uses the weight vector wi to determine the signal transmitted by the ith subscriber station.

Abstract: A millimeter-wave wireless multiple antenna system (80) and method (100) are provided in which a UE (120) uses a multi-antenna subsystem (81) to identify a plurality of m strongest transmit beams (122) from the base station (110) based on power measurements of a plurality of synchronization signal blocks (SSBs) transmitted on a corresponding plurality of transmit beams by the base station (110), and to generate multiple uplink random access channel (RACH) preambles (123) that is sent (124) to the base station (110) to identify the plurality of m strongest transmit beams and relative weights for each of the plurality of m strongest transmit beams which are used by the base station (112) to generate an optimal downlink transmit beam for use in sending a RACH response to the UE (120).

Abstract: A millimeter-wave wireless multiple antenna system (80) and method (100) are provided in which a UE (120) uses a multi-antenna subsystem (81) to identify a plurality of m strongest transmit beams (122) from the base station (110) based on power measurements of a plurality of synchronization signal blocks (SSBs) transmitted on a corresponding plurality of transmit beams by the base station (110), and to generate a composite uplink random access channel (RACH) preamble (123) that is sent (124) to the base station (110) to identify the plurality of m strongest transmit beams and relative weights for each of the plurality of m strongest transmit beams which are used by the base station (112) to generate an optimal downlink transmit beam for use in sending a RACH response to the UE (120).

Abstract: A wireless communication system non-collaborative, multiple input, multiple output (MIMO) space division multiple access (SDMA) system determines subscriber station combining and weighting vectors that yield a high average signal-to-interference plus noise ratio (SINR). Each subscriber station independently transmits information to a base station that allows the base station to determine a weight vector wi for each subscriber station using the determined combining vector of the subscriber station. The ith combining vector corresponds to a right singular vector corresponding to a maximum singular value of a channel matrix between a base station and the ith subscriber station. Each subscriber station transmits signals using a weight vector vi, which corresponds to a left singular vector corresponding to a maximum singular value of a channel matrix between the ith subscriber station and the base station. The base station uses the weight vector wi to determine the signal transmitted by the ith subscriber station.

Abstract: A millimeter-wave wireless multiple antenna system (200) is provided in which a UE (210) uses a multi-antenna subsystem (211) to sweep a plurality of receive beams (RX1-RXM) during each transmit beam in a plurality of transmit beams (TX1-TX64) used by the base station (201) to transmit an SSB, and then generates, for each receive beam, a received signal strength indicator (RSSI) value from samples of each transmitted SSB measured in said receive beam, thereby generating a plurality of RSSI values from which an optimal receive beam is selected based on a ranking of the RSSI values and then used to lock the UE (210) onto the optimal receive beam to perform a cell search which matches a transmit beam from the base station (201) to the optimal receive beam.

Abstract: In accordance with at least one embodiment, a processor system is disclosed having a SIMD processor device that has a plurality of subsidiary processing elements that are controlled to process multiple data concurrently. In accordance with at least one embodiment, the SIMD processor is a vector processor (VPU) having a plurality of vector Arithmetic Units (AUs) as subsidiary processing elements, and the VPU executes an instruction to transfer table information from a global memory of the VPU to a plurality of local memories accessible by each AU. The VPU also executes an instruction that results in each processing element performing a table lookup from a table stored at its local memory. In response to the instruction, this table lookup uses a portion of a lookup value to access information from the table, and uses another portion of the lookup information to calculate an interpolated resultant based upon the accessed information.

Abstract: A wireless communication system non-collaborative, multiple input, multiple output (MIMO) space division multiple access (SDMA) system determines subscriber station combining and weighting vectors that yield a high average signal-to-interference plus noise ratio (SINR). Each subscriber station independently transmits information to a base station that allows the base station to determine a weight vector wi for each subscriber station using the determined combining vector of the subscriber station. The ith combining vector corresponds to a right singular vector corresponding to a maximum singular value of a channel matrix between a base station and the ith subscriber station. Each subscriber station transmits signals using a weight vector vi, which corresponds to a left singular vector corresponding to a maximum singular value of a channel matrix between the ith subscriber station and the base station. The base station uses the weight vector wi to determine the signal transmitted by the ith subscriber station.

Abstract: A wireless communication system non-collaborative, multiple input, multiple output (MIMO) space division multiple access (SDMA) system determines subscriber station combining and weighting vectors that yield a high average signal-to-interference plus noise ratio (SINR). Each subscriber station independently transmits information to a base station that allows the base station to determine a weight vector wi for each subscriber station using the determined combining vector of the subscriber station. The ith combining vector corresponds to a right singular vector corresponding to a maximum singular value of a channel matrix between a base station and the ith subscriber station. Each subscriber station transmits signals using a weight vector vi, which corresponds to a left singular vector corresponding to a maximum singular value of a channel matrix between the ith subscriber station and the base station. The base station uses the weight vector wi to determine the signal transmitted by the ith subscriber station.

Abstract: A system and method for opportunistically designing collaborative beamforming vectors is disclosed for a wireless multiple input, multiple output (MIMO) space division multiple access (SDMA) communication system by sequentially designing beamforming vectors for ranked channels in order to exploit the instantaneous channel conditions to improve per user average SNR performance. Each subscriber station independently transmits information to a base station that allows the base station to determine beamforming vectors for each subscriber station by ranking the subscriber stations by channel strength. Using sequential nullspace methods, the ranked channel matrices are then used to select the channel matrix Hi for the best subscriber station, to design the wi, vi for the best subscriber station as the left and right singular vectors of the MIMO channel matrix Hi, to transform the remaining channels and to continue the process until beamforming vectors are designed for all channels.

Abstract: A system and method for collaboratively designing optimized beamforming vectors is disclosed for a wireless multiple input, multiple output (MIMO) space division multiple access (SDMA) communication system to optimize an aggregate SNR performance metric across the different users, thereby permitting the flexibility to trade off computational requirements and size of control information exchanged with performance. Using adaptive vector space search methods, the space of all receive beamformers is searched to find the set which maximizes either the sum or product of SNRs of the users.

Abstract: A system and method for opportunistically designing collaborative beamforming vectors is disclosed for a wireless multiple input, multiple output (MIMO) space division multiple access (SDMA) communication system by sequentially designing beamforming vectors for ranked channels in order to exploit the instantaneous channel conditions to improve per user average SNR performance. Each subscriber station independently transmits information to a base station that allows the base station to determine beamforming vectors for each subscriber station by ranking the subscriber stations by channel strength. Using sequential nullspace methods, the ranked channel matrices are then used to select the channel matrix Hi for the best subscriber station, to design the wi, vi for the best subscriber station as the left and right singular vectors of the MIMO channel matrix Hi, to transform the remaining channels and to continue the process until beamforming vectors are designed for all channels.

Abstract: In accordance with at least one embodiment, a processor system is disclosed having a SIMD processor device that has a plurality of subsidiary processing elements that are controlled to process multiple data concurrently. In accordance with at least one embodiment, the SIMD processor is a vector processor (VPU) having a plurality of vector Arithmetic Units (AUs) as subsidiary processing elements, and the VPU executes an instruction to transfer table information from a global memory of the VPU to a plurality of local memories accessible by each AU. The VPU also executes an instruction that results in each processing element performing a table lookup from a table stored at its local memory. In response to the instruction, this table lookup uses a portion of a lookup value to access information from the table, and uses another portion of the lookup information to calculate an interpolated resultant based upon the accessed information.

Abstract: A multi-user MIMO downlink beamforming system with limited feedback (200) is provided to enable precoding for multi-stream transmission, where a channel codeword (ui) and one or more channel quality indicator values (CQIA, CQIB) are computed at the user equipment (201.i) on the basis of maximizing a predetermined SINR performance metric (pi) which estimates the receive signal-to-noise-ratio (SINR) at the user equipment (201.i). The computed codeword (ui) and CQI values (or differential values related thereto) are quantized and fed back to help the base station (210) which applies a correction to the appropriate CQI value in the course of designing the transmit beamforming vectors w and determining the appropriate modulation and coding level to be used for downlink data transmission.

Abstract: Various methods of allocating uplink control channels in a communication system are implemented at a resource scheduler or a user equipment (UE). In one method the scheduler reserves resources for a downlink data channel and signals a corresponding downlink data channel grant and also reserves resources for a persistent uplink control channel for a longer duration than the data channel grant. Signaling overhead associated with a grant for this persistent uplink control channel is reduced over a full dynamic grant. A predetermined rule can be used at the scheduler and at the UE to avoid overhead signaling associated with a grant for this persistent control channel. Predetermined rules at the UE and scheduler can also be used to reserve appropriate resources and select appropriate MCS levels for control information and the control information and uplink data can be transported over a common uplink channel when a time overlap occurs between an uplink data channel and the persistent control channel.

Abstract: A system and method for opportunistically designing collaborative beamforming vectors is disclosed for a wireless multiple input, multiple output (MIMO) space division multiple access (SDMA) communication system by sequentially designing beamforming vectors for ranked channels in order to exploit the instantaneous channel conditions to improve per user average SNR performance. Each subscriber station independently transmits information to a base station that allows the base station to determine beamforming vectors for each subscriber station by ranking the subscriber stations by channel strength. Using sequential nullspace methods, the ranked channel matrices are then used to select the channel matrix Hi for the best subscriber station, to design the wi, vi for the best subscriber station as the left and right singular vectors of the MIMO channel matrix Hi, to transform the remaining channels and to continue the process until beamforming vectors are designed for all channels.