DocumentCode :
2622320
Title :
Intelligent resource optimisation using semi-smart antennas in LTE OFDMA systems
Author :
Wang, Yapeng ; Yang, Xu ; Ma, Athen ; Cuthbert, Laurie
Author_Institution :
MPI-QMUL Inf. Syst. Res. Centre, Macao Polytech. Inst., Macau, China
fYear :
2009
fDate :
16-18 Oct. 2009
Firstpage :
173
Lastpage :
179
Abstract :
The next generation 3GPP long-term evolution (LTE) mobile system will use orthogonal frequency division multiplexing access (OFDMA) as the key technology to improve the spectrum efficiency and flexible user resource allocation. One of the challenges of OFDMA systems is the interference at the cell edge where users are likely to get high interference from neighbouring cells. In a network with non-uniform traffic distribution, the problem becomes even more challenging. In this paper, a semi-smart antenna based resource allocation scheme is proposed for the LTE OFDMA system. The scheme features a centralised genetic algorithm (GA) algorithm that changes the cellular coverage in a coordinated manner to improve the system capacity and mitigate network interference. Simulation experiments have been carried out to evaluate the performance of the proposed scheme, the results showing significant performance improvement in terms of total traffic load achieved for all cells compared to a system with fixed coverage pattern.
Keywords :
3G mobile communication; OFDM modulation; adaptive antenna arrays; cellular radio; frequency division multiple access; genetic algorithms; interference suppression; resource allocation; telecommunication traffic; GA algorithm; LTE OFDMA system; cellular coverage; flexible user resource allocation; genetic algorithm; intelligent resource optimisation; mobile system; neighbouring cell interference; network interference mitigation; next generation 3GPP long-term evolution; nonuniform traffic distribution; orthogonal frequency division multiplexing access; semismart antennas; spectrum efficiency; Computer science; Downlink; Genetic algorithms; Information systems; Interference; Load management; Mobile antennas; Mobile computing; Resource management; Telecommunication traffic; 3GPP long-term evolution (LTE); Genetic Algorithm (GA); OFDMA; semi-smart antenna; spectral efficiency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4816-6
Electronic_ISBN :
978-1-4244-4817-3
Type :
conf
DOI :
10.1109/ICCOMTA.2009.5349214
Filename :
5349214
Link To Document :
بازگشت