Nokia Solutions and Networks Oy

Nokia Technologies Oy

Lorenzo Maggi

Suresh Kalyanasundaram

Afef Feki

Deepak Kumar Nayak

Alvaro Valcarce Rial

Jakob Hoydis

Veronique Capdevielle

Stefano Paris

Kalle Petteri Kela

Richa Gupta

Shalini Gulati

Claudiu Mihailescu

Maunu Elias Holma

Teemu Mikael Veijalainen

Alois Herzog

Qiyang Zhao

Christophe Grangeat

A method includes obtaining elevation angle information for a plurality of user devices, wherein the elevation angle information includes, for each of the plurality of user devices, a best or preferred beam elevation angle used or applied by a network node for communication with the user device; estimating an elevation angle distribution for the plurality of user devices based on the collected elevation angle information; determining, based on the elevation angle distribution, a set of analog beamforming weights to be used for hybrid beamforming, wherein each analog beamforming weight of the set of analog beamforming weights is associated with an analog elevation angle; and adjusting the set of analog beamforming weights based on at least one of a set of pre-tilt angle beamforming weights or an estimated (or an estimate of) mechanical downtilt angle.

Selection of set of analog beamforming weights for hybrid beamforming within wireless networks

An apparatus comprising circuitry configured to: determine at least one parameter used to determine an energy cap for a time period for at least one network node within a cluster of at least one network node comprising the at least one network node; determine the energy cap for the time period for the at least one network node within the cluster, based on the at least one parameter; wherein the energy cap for the time period for the at least one network node is determined so that energy consumed by the cluster during a time window comprising multiple time periods does not exceed an energy constraint, the multiple time periods comprising the time period; and transmit the energy cap for the time period to the at least one network node within the cluster at a beginning of the time period.

Reducing energy consumption of a base station cluster over a fixed time window

Beam and antenna array split configuration optimization is disclosed. A network node device generates a beam dictionary defining a set of beams. The network node device estimates a traffic density distribution for a radio channel based on obtained channel quality information. The network node device determines, for each of at least two array split configurations associated with a transceiver antenna array of the network node device, a set of optimal beams from the beam dictionary that optimizes a utility function, based on the estimated traffic density distribution. The network node device selects an array split configuration that maximizes the utility function across a coverage area of a radio cell associated with the network node device. The network node device applies the selected array split configuration to the transceiver antenna array in response to evaluating that the selected array split configuration improves downlink performance.

Beam and antenna array split configuration optimization

Devices, methods and computer programs for determining a radio transmission power threshold are disclosed. At least some of the example embodiments described herein may allow improving resource usage by serving a maximum amount of traffic and not wasting resources, while also ensuring the possibility of serving a minimum traffic level.

Determining a radio transmission power threshold, and related devices, methods and computer programs

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

Disclosed is a method comprising obtaining historical data from a plurality of access nodes comprised in a network, determining, for at least one of the plurality of access nodes, a region comprising a set of values for threshold pairs that comprise minimum and maximum threshold pairs, determining, from the region, one threshold pair, wherein the threshold pair defines pre-determined thresholds for determining if a cell is to be switched on or switched off, providing the threshold pair to the network for deployment, and collecting data regarding at least one key performance indicator from the plurality of access nodes.

Optimizing usage of power using switch off of cells

A solution for allocating N radio beam configurations to access nodes including, in some embodiments, a method comprising storing a beam library defining a set of radio beam configurations for a coverage area. A coverage area is divided into sub-areas, and a set of channel quality metrics is collected, as is a traffic density parameter for each sub-area. The following steps are performed: selecting N radio beam configurations from the set of radio beam configurations; mapping each sub-area with one of the selected N radio beam configurations; computing a service performance for the selected N radio beam configurations; the service performance is weighted by the traffic density parameters. The service performance are stored as linked to each radio beam configuration of the selected N radio beam configurations. Based on the stored service performances, a set of N radio beam configurations is selected and the N radio beam configurations are allocated.

Beam selection for cellular access nodes

Systems, methods, apparatuses, and computer program products for real-time uplink (UL) power control are provided. One method may include estimating, by a network node, a power allocation function for determining power allocation across a plurality of legs that transmit simultaneously, the power allocation function being based on radio channel statistics and network performance metrics. The method may then include signaling, to a user equipment, the power allocation function and the parameters used to compute an output of the power allocation function.

Growing community of inventors

Paris, France

Lorenzo Maggi