Title :
Situation awareness based automatic basestation detection and coverage reconfiguration in 3G systems
Author :
Sharma, S. ; Nix, A.R.
Author_Institution :
Centre for Commun. Res., Bristol Univ., UK
Abstract :
A novel technique for inserting basestations on an ad-hoc basis is investigated. Sector retraction and extension is used to reshape the network coverage area. Basestations are generally added to the network whenever there is a need to meet an increasing capacity demand. The replanning exercise can be both costly and time consuming. Situation awareness (SA) is the enabling functionality that allows a network redesign without a drain on resources. The simulation involves loading the network to capacity and evaluating the performance of adding a basestation ´on the fly´. Spectrum efficiency is the measure of performance used. Reconfiguration of the network area is performed by controlling the power level of the downlink pilot channel through the use of a genetic algorithm (GA). The performance of the algorithm is determined by its ability to reconfigure and redistribute the traffic. The technique is shown to offer a flexible and simple solution to the problem of UMTS network replanning for additional capacity.
Keywords :
3G mobile communication; code division multiple access; genetic algorithms; multiuser channels; power control; radio links; telecommunication control; telecommunication network planning; telecommunication traffic; 3G systems; UMTS network replanning; algorithm performance; area coverage reconfiguration; automatic basestation detection; downlink pilot channel; genetic algorithm; network area reconfiguration; network capacity; network coverage area; network loading; network redesign; network replanning; performance evaluation; power level control; sector extension; sector retraction; simulation; situation awareness; spectrum efficiency; traffic reconfiguration; traffic redistribution; 3G mobile communication; Buildings; Cellular networks; Communication system traffic control; Downlink; Frequency; Genetic algorithms; Multiaccess communication; Student members; Wireless networks;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on
Print_ISBN :
0-7803-7589-0
DOI :
10.1109/PIMRC.2002.1046651