DocumentCode :
2746161
Title :
Pilot power optimization for autonomous femtocell networks
Author :
Al-Rubaye, Saba ; Al-Dulaimi, Anwer ; Cosmas, John
Author_Institution :
WNCC, Brunel Univ., Uxbridge, UK
fYear :
2011
fDate :
20-22 June 2011
Firstpage :
170
Lastpage :
175
Abstract :
Deploying femtocells lead to an incredible increase in macrocell coverage and the capacity of networks. Autonomous femtocell operations can improve the networks normal services, driven by the growth in consumer numbers. Traditional operators shrink the organizational demands to reduce the amount of traffic, which leads to efficient pilot power configuration. A solution is proposed for a dense wireless environment in order to achieve optimal systematic settings. In this paper, a new adaptive pilot power model is introduced at femtocells, to adapt the transmitted power as a function of clients´ positions. In this regard, a novel probability algorithm is developed for power adaptations using mobile station location and speed. This improves the flexibility of the new femtocells in increasing the throughput and reducing power of transmission. Simulation results show the superiority of the new scheme in responding to the changes in the mobile distances, and adjusting the pilot power parameters. The new model of power optimisation is evaluated, to attain the higher levels of network reconfigurability.
Keywords :
femtocellular radio; optimisation; telecommunication traffic; adaptive pilot power model; autonomous femtocell network; macrocell coverage; mobile station location; network capacity; pilot power optimization; probability algorithm; traffic; wireless environment; Base stations; Macrocell networks; Mobile computing; Optimization; Throughput; Ultrafast optics; Autonomous; adaptive pilot power; femtocell technology; self-organization; wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Advanced (WiAd), 2011
Conference_Location :
London
Print_ISBN :
978-1-4577-0110-8
Type :
conf
DOI :
10.1109/WiAd.2011.5983306
Filename :
5983306
Link To Document :
بازگشت