DocumentCode :
2926045
Title :
Genetic algorithm approach for solving radio resource allocation for overlapping MBSFN area
Author :
Azman, M.F. ; Tuban, N.F. ; Noordin, K.A. ; Ismail, M.F.
Author_Institution :
Electr. Dept., Univ. of Malaya, Kuala Lumpur, Malaysia
fYear :
2011
fDate :
14-16 Nov. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Multicast Broadcast Single Frequency Network (MBSFN) is a new technique utilized in 3GPP LTE to deliver Multicast Broadcast Multimedia Service (MBMS) to users. In this paper, we proposed a novel method to allocate different radio resources in overlapping MBSFN area by using Genetic Algorithm (GA). The algorithm would be used to optimize the allocation of radio resource unit in the overlapped areas by finding the best solution to allocate different resources to base stations (eNBs) for delivering different services to different areas. The GA is able to limit the number of RRU to three for up to eight overlapping MBSFN areas. Simulation results show that the proposed method could contribute by providing a set of solution to every dynamically changed topology of MBSFN area.
Keywords :
3G mobile communication; Long Term Evolution; genetic algorithms; multicast communication; multimedia communication; radio broadcasting; telecommunication network topology; 3GPP LTE; MBSFN area overlapping; base stations; dynamically changed topology; genetic algorithm approach; multicast broadcast multimedia service; multicast broadcast single frequency network; radio resource allocation; radio resource unit; Biological cells; Digital multimedia broadcasting; Genetic algorithms; Long Term Evolution; Multimedia communication; Resource management; Topology; Genetic Algorithm; Multicast and Broadcast Service Single Frequency Network(MBSFN); OFDMA; Radio Resource Allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Multimedia (ICIM), 2011 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0988-3
Type :
conf
DOI :
10.1109/ICIMU.2011.6122734
Filename :
6122734
Link To Document :
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