Accelera Mobile Broadband, Inc.

Other

Accelera, Inc.

Luka Mali

Bojan Likar

Janez Bester

Andrej Kos

Andreas Kalagasidis

Robert Posel

Janez Sterle

Urban Sedlar

Mojca Volk

Tomaz Javornik

Gorazd Kandus

The present invention relates to wireless cellular telecommunication networks and, in particular, to control and management of self organizing wireless cellular telecommunication network. A method for network planning and frequency optimization in LTE networks by determining the optimal base station configuration parameters, comprises a base station initialization, an initial base station configuration, an iterative measurement procedure, an optimization process, a verification of operation, and a periodical maintenance procedure.

Method for self organizing network operation

This invention aims to avoid and resolve congestions in wireless 4G networks. The method is based on a central self-organizing network (SON) server, which dynamically changes neighbor lists on congested base station and on all base stations in vicinity. The procedure is triggered by measuring relative committed traffic rate and air interface utilization of the base station. When base station enters into congested state, it notifies the SON server. The SON server creates new neighbor lists for all base stations in the vicinity and removes the congested base station from these lists. With new neighbor lists propagated to mobile stations, the latter won't scan and initiate handovers to the congested base station. The SON server additionally creates a new dense neighbor list and changes handover triggers settings of the congested base station. The mobile stations consequently find other handover opportunities and connect to different base stations. As the air interface resources are released, the base station leaves the congested state.

Method for congestion avoidance in 4G networks

A method for 4G node frequency selection describes a mechanism for automatically selecting the frequency of a newly installed base station, thereby optimizing the throughput per area unit of the newly installed base station in its predefined vicinity area. The method is based on an iterative calculation approach which combines real-world network and base station measurements information with the nominal specifications of the newly installed base station (antenna diagram, output power) and the location and direction thereof.

Method for 4G node frequency selection

A method for cognitive neighbor selection in 4G networks describes a mechanism for automatic self-learning selection of neighboring base stations for the purpose of providing seamless handoffs in a dense deployment of pico and macro base stations. When a 4G network is modified by adding new base stations, the optimum handoff thresholds and advertised base station neighbors are automatically recalculated in a manner that reduces the number of unnecessary handoffs in a dense network with large number of pico and macro base stations.

Method for cognitive 4G neighborhood selection

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