Title :
On antenna parameters self optimization in LTE cellular networks
Author :
Kasem, Ferhad ; Haskou, Abdullah ; Dawy, Zaher
Author_Institution :
Electr. & Comput. Eng. Dept., American Univ. of Beirut, Beirut, Lebanon
Abstract :
The objective of this paper is to propose a self optimizing algorithm for tuning dynamically the antenna parameters in LTE cellular networks. The impact of the downtilt and the Half-Power Beamwidth (HPBW) as well as the azimuth steering of the evolved NodeB (eNB) antenna on the cell coverage and capacity is investigated. A heuristic algorithm for adaptive antenna parameter optimization is proposed. The proposed algorithm aims at determining the appropriate antenna parameters in order to maximize the cell throughput. The performance of the proposed algorithm is assessed in the context of different network scenarios. Adapting the antenna parameter values to those recommended by the proposed algorithm notably improves the cell throughput.
Keywords :
Long Term Evolution; antennas; cellular radio; optimisation; LTE cellular networks; adaptive antenna parameter optimization; antenna parameters self optimization; azimuth steering; cell capacity; cell coverage; cell throughput; evolved NodeB antenna; half-power beamwidth; heuristic algorithm; network scenarios; self optimizing algorithm; Azimuth; Directive antennas; Heuristic algorithms; Optimization; Receiving antennas; Throughput; LTE; azimuth steering; coverage and capacity planning; remote electrical tilt; self-organizing networks;
Conference_Titel :
Communications and Information Technology (ICCIT), 2013 Third International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4673-5306-9
DOI :
10.1109/ICCITechnology.2013.6579520
