A computer implemented method for optimizing directions of antennas of a base station of a communications network is provided. The method includes receiving antenna sector configuration data with sector information of each antenna and an azimuth angle of a main antenna direction of each antenna; receiving performance indicators of multiple subsectors of each antenna sector; calculating a cost function value indicating inter-sector impact between neighboring subsectors of adjacent sectors based on the performance indicators for the current antenna configuration and for at least one other possible antenna configuration; and identifying an antenna configuration yielding minimum cost function value of the calculated values as an optimized antenna configuration.

A method performed by an artificial neural network includes determining a conditional probability distribution representing a channel based on a data set of transmit and receive sequences. The method also includes determining a latent representation of the channel based on the conditional probability distribution. The method further includes performing a channel-based function based on the latent representation.

A reception-side apparatus includes: M receive antennas; and a processor configured to execute a first process of acquiring a first signal received from a first transmission-side apparatus from among signals simultaneously received from the N transmission-side apparatuses by receive diversity processing, and acquiring first data by demodulating and decoding the first signal. In the case of N>M, the processor acquires, for each of all patterns of a combination of a first signal, second signals from M1 transmission-side apparatuses which are to be cancelled by receive diversity processing and third signals from NM transmission-side apparatuses which are not to be cancelled by the receive diversity processing, a power ratio of power of the first signal relative to total power of the second and third signals based on a predetermined weight and a channel estimate of each signal, and selects a combination with the largest power ratio from among all the patterns.

A method for detecting transmitted data in a multiple-input multiple-output (MIMO) receiver, the method comprising: iteratively calculating symbol estimates by: obtaining input symbol estimates and input symbol variances; calculating error values for the input symbol estimates; refining the input symbol estimates to obtain refined symbol estimates, based on the error values, wherein the refined symbol estimates are used as input symbol estimates for the subsequent iteration of the above calculation, and wherein the refined symbol estimates are used as final symbol estimates when the difference between refined symbol estimates from one iteration to the next is below a threshold change.

User equipment includes one or more antennas, a receiver coupled to the one or more antennas, and processing circuitry coupled to the receiver and configured to cause the user equipment to receive downlink signals at each communication cycle using a predetermined beam in a beam time slot. Based on processed downlink signals and other relevant information the user equipment may determine a desired beam for the next communication cycle. If the desired beam is the same as the predetermined beam, the user equipment may continue using the predetermined beam at the next communication cycle. If the desired beam is different from the predetermined beam, the user equipment may switch to the desired beam at the next communication cycle. In this way, the user equipment may continue tracking a desired beam to maintain reliable data communications with a communication node.

Methods provide wireless communication using a plurality of Antenna Processing Units APUs distributed along a radio stripe and sharing a bus along the radio stripe. Access is provided to a plurality of APU activation/deactivation states for a respective plurality of environmental conditions, wherein each one of the plurality of APU activation/deactivation states defines APUs of the plurality of APUs that are activated and APUs of the plurality of APUs that are deactivated for the respective one of the plurality of environmental conditions. Responsive to detecting a first one of the plurality of environmental conditions, a first one of the plurality of APU activation/deactivation states corresponding to the first one of the plurality of environmental conditions is applied to activate a first subset of the APUs and to deactivate a second subset of the APUs, wherein the first and second subsets of APUs are mutually exclusive.

An apparatus and method for controlling and optimizing the broadcast beam for base stations (BS) using user equipment (UE) measurements with machine learning is provided. The apparatus and method is configured to select a first beam for each BS, send selected beams for each BS, receive measurement information of a first beam from UEs via BSs, preprocess the measurement results, use a neural network or a table for each BS to give a score for each broadcast beam in the beam pool, select a second beam with the highest score for each BS either from a neural network or a table, train the neural network for broadcast beam optimization offline based on a UE distribution pattern and ray-tracing data, identify typical UE distribution patterns based on AI classification algorithms and UE history measurement and location information, and create scenario-specific ray-tracing data based on typical UE distribution patterns.

Wide band quadrature signal generation includes a frequency synthesizer generating a LO or 2LO signal, a polyphase filter coupled to receive the LO signal and generate first in-phase and quadrature LO signals, a 2:1 frequency divider coupled to receive the 2LO signal and generate second in-phase and quadrature LO signals, and a LO signal selector for selecting either the first or second in-phase LO signals as an output in-phase LO signal and either the first or second quadrature LO signals as an output quadrature LO signal based on an output frequency. In some embodiments, when the output frequency is above a threshold, the first in-phase and quadrature LO signals are selected as the output in-phase and quadrature LO signals and when the output frequency is at or below the threshold, the second in-phase and quadrature LO signals are selected as the output in-phase and quadrature LO signals.

Wide band quadrature signal generation includes a frequency synthesizer generating a LO or 2LO signal, a polyphase filter coupled to receive the LO signal and generate first in-phase and quadrature LO signals, a 2:1 frequency divider coupled to receive the 2LO signal and generate second in-phase and quadrature LO signals, and a LO signal selector for selecting either the first or second in-phase LO signals as an output in-phase LO signal and either the first or second quadrature LO signals as an output quadrature LO signal based on an output frequency. In some embodiments, when the output frequency is above a threshold, the first in-phase and quadrature LO signals are selected as the output in-phase and quadrature LO signals and when the output frequency is at or below the threshold, the second in-phase and quadrature LO signals are selected as the output in-phase and quadrature LO signals.

A method for allocating and processing sequences in a communication system includes: dividing sequences in a sequence group into multiple sub-groups, each sub-group corresponding to its own mode of occupying time frequency resources; selecting sequences from a candidate sequence collection corresponding to each sub-group to form the sequences in the sub-group by: the sequences in a sub-group i in a sequence group k being composed of n sequences in the candidate sequence collection, the n sequences making a |r.sub.i/N.sub.ic.sub.k/N.sub.p.sub.1| or |(r.sub.i/N.sub.ic.sub.k/N.sub.p.sub.1) modu m.sub.k,i| function value the smallest, second smallest, till the n.sup.th smallest respectively; allocating the sequence group to cells, users or channels. It prevents the sequences highly correlated with the sequences of a specific length from appearing in other sequence groups.