Abstract: According to one configuration, a system includes a first wireless station in communication with a second wireless station. A phase noise predictor model such as associated with the first wireless station receives phase noise information. The phase noise information captures an estimate of: i) first phase noise associated with a first wireless station, and ii) second phase noise associated with a second wireless station. Based on the received phase noise information, the predictor produces phase noise adjustment information. The predictor applies the phase noise adjustment information to adjust (compensate) a signal of the first wireless station. Adjustment of the signal results in phase noise adjustment with respect to both the first phase noise associated with the first wireless station and the second phase noise associated with the second wireless station.

Abstract: A wireless base station, via a first wireless beam in a beamforming codebook, transmits communications to multiple communication devices. In one implementation, the wireless base station receives respective channel matrix information from each of the multiple communication devices. The channel matrix information indicates weight coefficients applied to respective receiver antenna hardware to receive the communications. Alternatively, when reciprocity holds, the wireless base station can be configured to generate the channel matrix information based on observation of receiving communications from the one or more communication devices. Via the channel matrix information, a communication management resource associated with the wireless base station adjusts beamforming settings of the first wireless beam to best support communications with the communication devices over the first wireless beam.

Abstract: According to one configuration, a system includes a first wireless station in communication with a second wireless station. Signal processor hardware receives, from a first phase noise predictor (model), a first common phase error signal to compensate for: i) first phase noise associated with a first wireless station, and ii) second phase noise associated with a second wireless station. The signal processor hardware implements a predictive feedback compensation loop (such as including a second phase noise predictor) to produce a second (i.e., corrected) common phase error signal from the received common phase error signal. The signal processor hardware outputs the corrected common phase error signal to adjust phases of sub-carrier frequencies used to communicate data from the first wireless station to the second wireless station.

Abstract: According to one configuration, a system includes a first wireless station in communication with a second wireless station. A phase noise predictor model such as associated with the first wireless station receives phase noise information. The phase noise information captures an estimate of: i) first phase noise associated with a first wireless station, and ii) second phase noise associated with a second wireless station. Based on the received phase noise information, the predictor produces phase noise adjustment information. The predictor applies the phase noise adjustment information to adjust (compensate) a signal of the first wireless station. Adjustment of the signal results in phase noise adjustment with respect to both the first phase noise associated with the first wireless station and the second phase noise associated with the second wireless station.

Abstract: In a wireless MIMO communication system for N symbols of a frame of information, allocating N1 symbols to a stronger eigen sub-channel and N2 symbols to a weaker eigen sub-channel, where N1>N2; determining a probability of reception error when transmitting the N2 symbols through the weaker eigen sub-channel for an auxiliary signal-to-noise ratio; solving for a quality of service QoS of the weaker eigen sub-channel and if the QoS is less than a desired QoS, decreasing the value of N and repeating allocating symbols, determining the probability of reception error and solving for the QoS. Another aspect includes asymmetrically allocating spreading codes to a stronger eigen sub-channel and to a weaker eigen sub-channel such that the stronger eigen sub-channel is allocated more spreading codes than the weaker eigen sub-channel; and transmitting all systematic bits of turbo coded information over the stronger eigen sub-channel.

Abstract: In a wireless MIMO communication system for N symbols of a frame of information, allocating N1 symbols to a stronger eigen sub-channel and N2 symbols to a weaker eigen sub-channel, where N1>N2; determining a probability of reception error when transmitting the N2 symbols through the weaker eigen sub-channel for an auxiliary signal-to-noise ratio; solving for a quality of service QoS of the weaker eigen sub-channel and if the QoS is less than a desired QoS, decreasing the value of N and repeating allocating symbols, determining the probability of reception error and solving for the QoS. Another aspect includes asymmetrically allocating spreading codes to a stronger eigen sub-channel and to a weaker eigen sub-channel such that the stronger eigen sub-channel is allocated more spreading codes than the weaker eigen sub-channel; and transmitting all systematic bits of turbo coded information over the stronger eigen sub-channel.

Abstract: In a wireless MIMO communication system, for N symbols of a frame of information, allocating N1 symbols to a stronger eigen sub-channel and N2 symbols to a weaker eigen sub-channel, where N1>N2; determining a probability of reception error when transmitting the N2 symbols through the weaker eigen sub-channel for an auxiliary signal-to-noise ratio; solving for a quality of service QoS of the weaker eigen sub-channel and if the QoS is less than a desired QoS, decreasing the value of N and repeating allocating symbols, determining the probability of reception error and solving for the QoS. Another aspect includes asymmetrically allocating spreading codes to a stronger eigen sub-channel and to a weaker eigen sub-channel such that the stronger eigen sub-channel is allocated more spreading codes than the weaker eigen sub-channel; and transmitting all systematic bits of turbo coded information over the stronger eigen sub-channel.