A method is disclosed for a system comprising a transmitter apparatus and a receiver apparatus. The transmitter apparatus is configured to transmit signals to the receiver apparatus using an available transmission beam. The receiver apparatus is configured to receive the signals using an available reception beam. The method comprises the transmitter apparatus determining a collection of linear combinations of transmission beams and a collection of linear combinations of reception beams, providing an indication of the collection of linear combinations of reception beams to the receiver apparatus and transmitting each of the linear combinations of transmission beams of the collection of linear combinations of transmission beams. The method also comprises the receiver apparatus acquiring the indication of the collection of linear combinations of reception beams from the transmitter apparatus, receiving each of the linear combinations of transmission beams of the collection of linear combinations of transmission beams using each of the linear combinations of reception beams of the collection of linear combinations of reception beams, and performing beam selection measurements on the received linear combinations of transmission beams for selection of the transmission beam from the plurality of available transmission beams and for selection of the reception beam from the plurality of available reception beams. Methods for each of the transmitter apparatus and the receiver apparatus are also disclosed, as well as corresponding apparatuses, network node, wireless communication device, system and computer program product.

Path-loss measurements are determined for a test client device moving along a path in a field test environment in which field Wi-Fi mesh network nodes are distributed. The path-loss measurements are reproduced in a field-to-lab test environment that includes a test client device disposed in an electromagnetically-isolated chamber and field test Wi-Fi mesh network nodes disposed in respective electromagnetically-isolated chambers. The test client device and the field test Wi-Fi mesh network nodes are in wired or wireless communication with each other via signal lines. A programmable attenuator is electrically coupled to each signal line. The attenuation of each programmable attenuator is varied to reproduce the path-loss measurements from the field test environment. Path-loss measurements at the location of each field Wi-Fi mesh network node are also reproduced with the programmable attenuators to reproduce the field Wi-Fi mesh network node configuration.

A method for evaluating a buildings wireless performance, the method comprising: constructing an environment model, the environment model comprising a layout of the building, a power density of transmitters P.sub.T[W/m.sup.2], and a considered frequency band f.sub.c; computing a signal to interference plus noise ratio (SINR) for the building in dependence on the environment model; computing a SINR for an open space in dependence on the environment model, the computing size for the open space being the same as the computing size of the building, and wherein the open space is an ideal space in absence of the building or other surroundings; comparing the SINR for the building with the SINR for the open space; and in dependence on the comparison, evaluating the building wireless performance by calculating an interference power gain and an intended power gain for the building.

An asset tracking system may include a bridge device that wirelessly receives beacon data from one or several beacons that are disposed at respective devices, equipment, furniture, people, and the like. The bridge device may send the beacon data to a server via a communication network. The server may analyze the beacon data, such that the locations of people or objects may be estimated and monitored, and/or sensor data corresponding to measurable attributes of people or objects may be accumulated and monitored. The location of the bridge device may be estimated using signal strength measurements of beacon signals received from room beacons in combination with corresponding room identifiers. Alerts may be sent by the server to a user device responsive to the server determining that a person or object is in an unauthorized location and/or that a value of monitored sensor data exceeds a threshold.

A method, apparatus and computer program product are provided to accelerate the estimation of a radio model of an access point within a radio environment, such as an access point that has been newly added to or relocated within the radio environment. In the context of a method, the presence of a first access point in a radio environment is determined and the signal propagation characteristics of one or more existing access points in the radio environment are also determined. The signal propagation characteristics are represented by respective radio models of the one or more existing access points. The method also includes estimating the radio model of the first access point based at least upon the signal propagation characteristics of the one or more existing access points in the radio environment as represented by the respective radio models of the one or more existing access points.

A method for encapsulating electromagnetic propagation model features to create composable prediction models includes obtaining electromagnetic (EM) impediment data for a geographical area. The method also includes dividing the geographical area into a plurality of tiles. Each tile of the plurality of tiles includes a geometric shape that encompasses a distinct non-overlapping portion of the geographical area. For each tile of the plurality of tiles, the method also includes determining one or more composable EM attenuation values for EM signals propagating through the distinct non-overlapping portion of the geographical area encompassed by the tile using the EM impediment data and caching the one or more composable EM attenuation values determined for the corresponding tile.

A mobile terminal testing device includes a layer processing unit 3 that communicates with a mobile terminal 10 by performing processing of each layer of a layer-configured communication protocol with a plurality of layers, in which the layer processing unit 3 includes a PHY processing unit 31 that performs multiplexing, channel coding, or the like in order to transmit and receive communication data transmitted to and received from the mobile terminal 10, in which the PHY processing unit 31 transmits a dummy signal, by omitting higher processing from predetermined processing, for an interference signal in multi user-multi input multi output (MU-MIMO) multiplex signals, in a case of testing MU-MIMO terminal-to-terminal interference.

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 system and method of optimizing a selection of an antenna on an information handling system comprising executing a sensor module to receive data from a plurality of sensors for tracking orientations, configurations, and locations of the information handling system and an antenna performance tracking system for measuring antenna performance parameters at a plurality of locations and training an antenna selection machine learning algorithm of an antenna selection machine learning module with training inputs of the orientations, configurations, and antenna performance parameters for a plurality of locations to determine an antenna system recommendation from a plurality of available antenna systems deployed on the information handling system. Executing the trained antenna selection machine learning module with operating inputs for an orientation and configuration at an operation location to determine a recommended antenna system from the plurality of available antenna systems for use in wireless communication.

A method of controlling transmission of a wireless signal in a wireless telecommunications network including a transmitting node, a receiving node, and an Intelligent Reflective Surface (IRS), the transmitting node including a processor operating a first neural network that inputs an input bit sequence and outputs the wireless signal and a transmitter to transmit the wireless signal output by the first neural network, the IRS includes a reflective surface for reflecting the wireless signal transmitted by the transmitter and further includes a processor for applying a phase change to the wireless signal according to a phase shift matrix, and the receiving node includes a receiver for receiving an accumulated wireless signal transmitted by the transmitter and reflected off the reflective surface and a processor operating a second neural network that inputs the received accumulated wireless signal and outputs an output bit sequence.