Nokia Solutions and Networks Oy

Richa Gupta

Suresh Kalyanasundaram

Shalini Gulati

Rajeev Agrawal

Jakob Hoydis

Veronique Capdevielle

Liang Xing

Balamurali N Natarajan

Lorenzo Maggi

Deepak Kumar Nayak

Alvaro Valcarce Rial

Jinesh P Nair

Rakshak Agrawal

An apparatus, method and computer program is described above: determining a coupling gain for a user device within a cell of a mobile communication system; comparing the determined coupling gain with a coupling gain threshold; setting the user device to operate in a device-specific CSI-RS mode of operation in the event that the determined coupling gain is less than the coupling gain threshold, wherein, in the device-specific CSI-RS mode of operation, the user device is configured to use device-specific reference signal transmissions for the determination of channel state information; and setting the user device to operate in a cell-specific CSI-RS mode of operation in the event that the determined coupling gain is not less than the coupling gain threshold, wherein, in the cell-specific CSI-RS mode of operation, the user device is configured to use cell-specific reference signal transmissions for the determination of channel state information.

Method and apparatus for controlling operation of user device

A method includes estimating an uplink channel for a terminal device, based on an amount of antennas used by an access node for transmitting signals to the terminal device, antennas used for receiving the transmitted signals at the terminal device, and sub-bands used for transmitting the signals. Based on the estimation, a channel covariance matrix is determined for a precoder comprised in a transmitter of the access node by determining a limited number of elements of a full dimensional channel covariance matrix, which is different than the channel covariance matrix. The limited number of elements are elements corresponding to i-th row and j-th column of the channel covariance. Correlation computation is performed for the limited number of elements. Elements of the full-dimensional channel covariance matrix that are excluded from the limited number of elements are determined and set to be zero. Precoding is performed using the determined channel covariance matrix.

Determining covariance using a lossy compression method

An apparatus including: a MIMO antenna for transmitting beamformed signals on a plurality of beams using a common frequency- and time-limited physical channel resource; circuitry for computing a beamforming gain of each beam in each sub-sector in a coverage area of said plurality of beams; circuitry for determining a beam dominance region of each beam within the coverage area of said plurality of beams; circuitry for determining, within the dominance region of each beam, an average of the beamforming gain of each of the other beams at least partially co-locating within said beam dominance region; circuitry for determining inter-beam interference estimations as an average interference of each beam from each of said other beams; and circuitry for scheduling transmissions of the beams by said MIMO antenna on said common frequency- and time-limited physical channel resource based on said inter-beam interference estimations.

Method for determining beam interference

Disclosed is a method for determining open loop power control parameters. A first set of key performance indicators associated with a first set of open loop power control parameters is obtained from one or more first base stations. A statistical model is determined based at least partly on the first set of key performance indicators and the first set of open loop power control parameters. A second set of open loop power control parameters is determined based at least partly on the statistical model.

Determining open loop power control parameters

Methods and apparatus for realizing dynamic point selection improve the cell-edge throughput and geometric mean of release 8/9 UEs. The method comprises a step of receiving estimated channel quality reported by all the TPs in the CoMP set, a step of switching the serving TP for the UEs based on the estimated channel quality and/or cell load, a step of forwarding the scheduled data from the primary TP to the serving TP, a step of separately transmitting PDCCH to the UEs by the primary TP and transmitting PDSCH to the UEs by the serving TP. the implementation of the method and apparatus improves the cell-edge throughput and geometric mean of UE throughput by serving UEs instantaneously from the cell that provides better throughput accounting for fast time-scale channel fluctuations and/or load. It helps in reducing interference due to data getting drained faster when users are served from cells with better channel conditions.

Method and apparatus for realizing dynamic point selection

According to an aspect, there is provided a computing device for controlling terminal device uplink transmission power. Each terminal device is configured to determine uplink transmission power based on two power control parameters&#x2014;a target received power for full pathloss compensation and a pathloss compensation coefficient. The computing device initializes a deep Q-learning network in which a state is defined as cell-specific pairs of the power control parameters, an action is defined as a selection of valid values of power control parameters for a cell and a reward is calculated based on the information on data traffic. The computing device trains the deep Q-learning network to approximate a Q value function, determines optimal power control parameters based on thereon and causes transmitting them to access nodes.

Uplink power control using deep Q-learning

Methods and Systems are disclosed for allocating a time-frequency resource of a large cell base station either to a selected first user equipment associated with the base station, or to a selected self-backhaul link associated with a small cell within the coverage area of the large cell base station. In embodiments, data is provided representing target allocation proportions of the time-frequency resource, for each of the first user equipment(s) and the one or more backhaul link(s). Allocations are made, for each of a series of time units or intervals, either to a selected first user equipment or backhaul link based on the target data.

Resource allocation in cellular networks

A technique is provided for allocating resources in a wireless network that includes one or more macro user devices served by a macro base station associated with a macro cell and a micro base station associated with a small cell that is served by the macro base station, including determining a portion of downlink resources allocated to a self-backhaul link between the macro base station and the micro base station for the small cell, determining that a threshold condition is exceeded with respect to the self-backhaul link for the small cell, and decreasing, based on the determining, the portion of downlink resources allocated to the self-backhaul link for the small cell.

Resource allocation and scheduling for wireless networks with self-backhauled links

Apparatuses, methods, computer programs, computer program products and computer-readable media regarding connection establishment robustness optimization are disclosed. Some example versions include calculating, at a base station, a switching metric for a user equipment served by the base station, the switching metric indicating whether the user equipment is to switch from a source cell to one of multiple target cells. The switching metric is calculated for a combination of the user equipment with a source cell and one of the multiple target cells. The base station determines whether to switch the user equipment from the source cell to one of the multiple target cells based on the switching metric, which includes spectral efficiencies of the user equipment for both the source cell and one of the multiple target cells, current cell load values for both the source cell and one of the multiple target cells and a correction factor.

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Bengaluru, India

Richa Gupta