Yaremko O. Models and algorithms of radio channel parameters management considering subscribers traffic localization

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0415U006273

Applicant for

Specialization

  • 05.12.02 - Телекомунікаційні системи та мережі

26-11-2015

Specialized Academic Board

Д35.052.10

Essay

The thesis is devoted to the development of transmitted power control methods and algorithms in mobile networks based on optimal multi-antenna systems with beamforming considering spatial and temporal localization of the user traffic. The model for control of radio coverage power allocation is proposed considering the localization of the subscriber load. It allows reducing base station transmitted power by an average of 30% with preservation of the signal-to-noise ratio at the receiver input of mobile stations. The study of the factors affecting the service area radius in the cellular communication system with CDMA was performed. It is found that the gain in the signal / noise ratio (SNR) is around the 2,8dB by using a multi-antenna systems with BPH. Hence, the service area may be increased or a high quality of service could be achieved. A model of a system power control using a multi-antenna systems multiuser access was proposed. The optimal system power distribution between multiple users was obtained. The algorithms were proposed of incremental and decremental selection of multi-antenna system elements for its structure design in case of multiuser access. It was proved that the decremental selection is more complicated than incremental one, since it considers all the antennas contributions into resulting signal-to-noise ratio, while incremental selection takes into account only the individual contributions of antennas that may be attached to the system. The method of calculating the characteristics of the radio channel in mobile communication networks using complex antenna systems was developed. An algorithm was developed considering optimal conditions of the antenna pattern for controlling its parameters. The relations were obtained considering a multiuser access for varying number of receiving antennas that allow obtaining the optimal ranges of the adaptive antenna radiation power.

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