Abstract: A method, system and apparatus are disclosed. A first wireless device is provided. The first wireless device includes processing circuitry configured to: determine first beam information based at least in part on second beam information received from a second wireless device via device-to-device communications where the first beam information indicates a first beam selected by the first wireless device for downlink wireless communications, and where the second beam information indicates a second beam selected by the second wireless device for downlink wireless communications; and cause transmission of the first beam information for grid of beams precoder determination.

Abstract: A method for device-to-device communication comprises providing a first communication device, a second communication device, and a plurality of base stations, measuring a first set of base station channel gains from the first communication device, measuring a second element of data from the second communication device, providing the first set of base station channel gains and the second element of data as inputs to an algorithm, calculating a D2D channel gain from the first set of base station channel gains and the second element of data with the machine learning algorithm, and adjusting at least one parameter based on the calculated D2D channel. A system for controlling device-to-device communication and a method of training a machine learning algorithm are also described.

Abstract: A method for device-to-device communication comprises providing a first communication device, a second communication device, and a plurality of base stations, measuring a first set of base station channel gains from the first communication device, measuring a second element of data from the second communication device, providing the first set of base station channel gains and the second element of data as inputs to an algorithm, calculating a D2D channel gain from the first set of base station channel gains and the second element of data with the machine learning algorithm, and adjusting at least one parameter based on the calculated D2D channel. A system for controlling device-to-device communication and a method of training a machine learning algorithm are also described.

Abstract: The present disclosure relates to user communication devices and communication network devices, both arranged to support grouping of user communication devices in a communication network. One example user communication device determines a neighbor user communication device set comprising the user communication device and neighbor user communication devices, and determines, by communicating with the neighbor user communication devices of the neighbor user communication device set via D2D communication, a user communication device group that the user communication device joins. The communication network device receives information on a plurality of user communication device groups, determined by user communication devices in the communication network, and executes clustering on the plurality of user communication device groups.

Abstract: For determining, in a distributed fashion, precoders to be applied for performing transmissions of data between a plurality of transmitters and a plurality of receivers via a global MIMO channel H of a wireless communication system, said precoders jointly forming an overall precoder V, each and every j-th transmitter perform: gathering long-term statistics of CSIT errors incurred by each one of the transmitters; obtaining short-term CSIT related data and building therefrom its own view ?(j) of the global MIMO channel H; determining an estimate {tilde over (V)}(j) of the overall precoder V from the short-term CSIT related data; refining the estimate {tilde over (V)}(j) on the basis of the gathered long-term statistics of CSIT errors so as to obtain a refined precoder {tilde over (V)}(j) that is a view of the overall precoder V from the standpoint of said j-th transmitter, further on the basis of its own view ?(j) of the global MIMO channel H, and further on the basis of a figure of merit representative of perf

Abstract: The invention relates a user communication device for cellular communication with a base station and D2D communication with at least one user communication device.

Abstract: For determining parameters for configuring a regularized zero-forcing precoder aiming at being applied for transmitting data from a plurality of transmitters to a plurality of receivers via a MIMO transmission channel in a wireless communication system, and more particularly in a scope of massive MIMO approach, a first phase comprises: obtaining long-term statistics about observations of the MIMO transmission channel, and obtaining a power scaling factors aiming at meeting a power constraint P, by solving an optimization problem as a function of a signal to noise ratio asymptotic expression from the standpoint of each receiver. Then, a second phase comprises: obtaining an estimation of the MIMO transmission channel, and configuring the regularized zero-forcing precoder using the power scaling factors determined in the first phase as well as the obtained estimation of the MIMO transmission channel.

Abstract: The present disclosure relates to user communication devices and communication network devices, both arranged to support grouping of user communication devices in a communication network. One example user communication device determines a neighbor user communication device set comprising the user communication device and neighbor user communication devices, and determines, by communicating with the neighbor user communication devices of the neighbor user communication device set via D2D communication, a user communication device group that the user communication device joins. The communication network device receives information on a plurality of user communication device groups, determined by user communication devices in the communication network, and executes clustering on the plurality of user communication device groups.

Abstract: The invention relates a user communication device for cellular communication with a base station and D2D communication with at least one user communication device.

Abstract: For setting cooperation parameters of a communication system including a plurality of node devices interconnected by links and adapted to be respectively configured according to said cooperation parameters, a cooperation phase comprises: gathering measurements data representative of measurements of the random variables; optimizing the figure of merit for determining said cooperation parameters, on the basis of the obtained measurements. At least one link implying quantization operations relying on a codebook for gathering said measurements data and/or for providing said cooperation parameters, a pre-processing phase comprises beforehand: obtaining statistics data relative to a probability distribution of said random variables; and determining every codebook on the basis of the figure of merit, such that the figure of merit is statistically optimized according to the obtained statistics.

Abstract: For determining parameters for configuring a regularized zero-forcing precoder aiming at being applied for transmitting data from a plurality of transmitters to a plurality of receivers via a MIMO transmission channel in a wireless communication system, and more particularly in a scope of massive MIMO approach, a first phase comprises: obtaining long-term statistics about observations of the MIMO transmission channel, and obtaining a power scaling factors aiming at meeting a power constraint P, by solving an optimization problem as a function of a signal to noise ratio asymptotic expression from the standpoint of each receiver. Then, a second phase comprises: obtaining an estimation of the MIMO transmission channel, and configuring the regularized zero-forcing precoder using the power scaling factors determined in the first phase as well as the obtained estimation of the MIMO trans mission channel.

Abstract: For setting cooperation parameters of a communication system including a plurality of node devices interconnected by links and adapted to be respectively configured according to said cooperation parameters, a cooperation phase comprises: gathering measurements data representative of measurements of the random variables; optimizing the figure of merit for determining said cooperation parameters, on the basis of the obtained measurements. At least one link implying quantization operations relying on a codebook for gathering said measurements data and/or for providing said cooperation parameters, a pre-processing phase comprises beforehand: obtaining statistics data relative to a probability distribution of said random variables; and determining every codebook on the basis of the figure of merit, such that the figure of merit is statistically optimized according to the obtained statistics.

Abstract: In a multicellular cooperative radio communications method, the terminals estimate and communicate to all the access points of a cooperating cluster of access points information on the transmission channels between them and each access point of the cluster. The access points include homologous processor for scheduling the servicing of the terminals and operating in accordance with a particular criterion common to all the access points. Finally, the servicing of the terminals is effected jointly by said access points, in an order determined by the processor, using transmission parameters on the basis of the information on the transmission channels transmitted by the terminals.

Abstract: The present invention provides data transmission capacity that is optimized in a communication environment by iteratively modifying a beamforming vector by linearly coupling selfish beamforming with unselfish beamforming using feedback information. The transmitter for modifying the beamforming vector iteratively includes: a feedback receiving module that receives feedback information from a receiver: and a vector determination module that determines an initial beamforming vector by coupling a first vector for the selfish beamforming with a second vector for the unselfish beamforming at the time of initial beamforming, and corrects a coupling ratio of the first vector and the second vector of the beamforming vector with reference to the received feedback information whenever the beamforming is modified.

Abstract: The present invention provides data transmission capacity that is optimized in a communication environment by iteratively modifying a beamforming vector by linearly coupling selfish beamforming with unselfish beamforming using feedback information. The transmitter for modifying the beamforming vector iteratively includes: a feedback receiving module that receives feedback information from a receiver: and a vector determination module that determines an initial beamforming vector by coupling a first vector for the selfish beamforming with a second vector for the unselfish beamforming at the time of initial beamforming, and corrects a coupling ratio of the first vector and the second vector of the beamforming vector with reference to the received feedback information whenever the beamforming is modified.

Abstract: In a multicellular cooperative radio communications method, the terminals estimate and communicate to all the access points of a cooperating cluster of access points information on the transmission channels between them and each access point of the cluster. The access points include homologous processor for scheduling the servicing of the terminals and operating in accordance with a particular criterion common to all the access points. Finally, the servicing of the terminals is effected jointly by said access points, in an order determined by the processor, using transmission parameters on the basis of the information on the transmission channels transmitted by the terminals.

Abstract: The present invention includes a method of optimizing a transmission mode of wirelessly transmitted data. The method includes selecting a first transmission mode based on a predetermined channel database and a first channel characterization. The first channel characterization can be based upon signals transmitted in an initial mode. An error factor is generated based on a difference between an estimated performance characteristic, and an expected performance characteristic. A subsequent transmission mode is selected based upon the predetermined channel database, the error factor and a subsequent channel characterization. The predetermined channel database can include a predetermined look-up-table that provides transmission mode selections based upon the channel characterizations. The look-up-table generally includes a plurality of quality parameter thresholds that determine the selection of a transmission mode.

Abstract: The present invention includes a method of optimizing a transmission mode of wirelessly transmitted data. The method includes selecting a first transmission mode based on a predetermined channel database and a first channel characterization. The first channel characterization can be based upon signals transmitted in an initial mode. An error factor is generated based on a difference between an estimated performance characteristic, and an expected performance characteristic. A subsequent transmission mode is selected based upon the predetermined channel database, the error factor and a subsequent channel characterization. The predetermined channel database can include a predetermined look-up-table that provides transmission mode selections based upon the channel characterizations. The look-up-table generally includes a plurality of quality parameter thresholds that determine the selection of a transmission mode.

Abstract: The present invention includes a method of optimizing a transmission mode of wirelessly transmitted data. The method includes selecting a first transmission mode based on a predetermined channel database and a first channel characterization. The first channel characterization can be based upon signals transmitted in an initial mode. An error factor is generated based on a difference between an estimated performance characteristic, and an expected performance characteristic. A subsequent transmission mode is selected based upon the predetermined channel database, the error factor and a subsequent channel characterization. The predetermined channel database can include a predetermined look-up-table that provides transmission mode selections based upon the channel characterizations. The look-up-table generally includes a plurality of quality parameter thresholds that determine the selection of a transmission mode.

Abstract: Embodiments of a system and method of classifying remote users according to link quality, and scheduling wireless transmission of information to the users based upon the classifications are generally disclosed.