Herein described are apparatuses, systems, and methods for measurement and reporting of channel state information within wireless network systems. In embodiments, an apparatus for a user equipment (UE) may include memory to store a rank indicator (RI), a precoding matrix index (PMI), and a channel quality indicator (CQI) of channel state information (CSI) for the UE. The apparatus may further include circuitry to concatenate the RI, the PMI, and the CQI to produce a concatenated CSI element, generate a CSI report that includes the concatenated CSI element, and cause the CSI report to be transmitted to a base station within a single slot. Other embodiments may be described and/or claimed.

Herein described are apparatuses, systems, and methods for measurement and reporting of channel state information within wireless network systems. In embodiments, an apparatus for a user equipment (UE) may include memory to store a rank indicator (RI), a precoding matrix index (PMI), and a channel quality indicator (CQI) of channel state information (CSI) for the UE. The apparatus may further include circuitry to concatenate the RI, the PMI, and the CQI to produce a concatenated CSI element, generate a CSI report that includes the concatenated CSI element, and cause the CSI report to be transmitted to a base station within a single slot. Other embodiments may be described and/or claimed.

Embodiments described herein provide a method for performing beamforming in a multiple-user-multiple-input-multiple-output (MUMIMO) system. At a MUMIMO access point, MUMIMO data may be received from a station of a plurality of stations. Uplink channel state information may be obtained, from the MUMIMO data, representing an uplink channel between the station and the MUMIMO access point. The uplink channel includes signals transmitted from the station using the second number of antennas. Downlink channel state information may be computed, based on the uplink channel state information, representing a downlink channel between the MUMIMO access point and the station.

Apparatus and methods for beamforming communication systems with sensor aided beam management are provided. In certain embodiments, a beamforming communication system includes an antenna array including a plurality of antenna elements. The beamforming communication system further includes a plurality of signal conditioning circuits operatively associated with the antenna elements, one or more sensors that generate sensor data, and a beam management circuit that controls the signal conditioning circuits to manage beamforming. The beam management circuit provides beam management based on the sensor data.

A reciprocity-based precoding algorithm is provided that accommodates for the specific type of uncertainty arising from the delay in channel estimation as a function of the velocity of moving wireless communication devices (103a-c). Account is taken of time delay from reference symbols previous sounding times as well as the velocity of the wireless communication devices (103a-c) thereby providing an effective precoding scheme for beamforming.

A signal quality associated with radio transmissions from a first device (100) to a second device (10) is determined. Further, an uncertainty of the determined signal quality is determined. Depending on the determined signal quality and uncertainty, a beamforming configuration, applied by the first device (100) for performing the radio transmissions to the second device (10), is adapted.

Apparatus and methods for beamforming communication systems with sensor aided beam management are provided. In certain embodiments, a beamforming communication system includes an antenna array including a plurality of antenna elements. The beamforming communication system further includes a plurality of signal conditioning circuits operatively associated with the antenna elements, one or more sensors that generate sensor data, and a beam management circuit that controls the signal conditioning circuits to manage beamforming. The beam management circuit provides beam management based on the sensor data.

A transmission method for communication by a transmission apparatus of a wireless communication system performing wireless communication in a beamforming scheme is disclosed. The method may include assigning identifiers to all transmission beam directions in which transmission is possible and transmitting a reference signal with a beam identifier assigned in each direction, when identifier information of a beam direction, which allows reception from a reception apparatus, and error detection information are received, examining the error detection information to examine whether an error exists, and transmitting a response signal to the reception apparatus according to whether the examined error exists, and transmitting and receiving data on the basis of the received beam information when the error does not exist, as a result of the examination of the error detection information.

A wireless communication system to detect a sleepy-cell condition. The wireless communication system comprises a remote radio head that receives network data comprising user data and beamforming instructions from a baseband unit. The remote radio head transfers the user data to wireless communication devices over wireless column beams responsive to the beamforming instructions. The remote radio head further detects a loss of the beamforming instructions for a time threshold and responsively transfers a sleepy-cell alarm indicating the baseband unit.

The invention relates to a human mobility measuring method comprising a structuring step where CDR raw metadata is filtered so as to identify a device identification, a cell site identification, a date, and a time; a data frame generating and sorting step where the filtered CDR metadata is sorted and the filtered sorted CDR metadata are projected into an occupancy grid comprising a location vs. time-bin matrix, a probabilistic map generating step of a device's location in space and time, and a filtering step to accurately represent human mobility from patterns that reflect errors, uncertainties, or patterns not related with real human mobility. The method further comprises a gap filling process allowing for a continuous localization of the device by extrapolating any trajectory in space and time of any device and a projecting step comprising projecting the trajectories defined at a Voronoi grid defined by the sites and towers to the road and street grid.