DocumentCode :
2622760
Title :
A novel distributed resource allocation algorithm based on Superposition of Shadow Area
Author :
Wu, Zhe ; Chen, Changjia
Author_Institution :
Sch. of Electr. & Comput. Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2009
fDate :
16-18 Oct. 2009
Firstpage :
63
Lastpage :
67
Abstract :
In this paper, a novel distributed resource allocation algorithm based on Superposition of Shadow Area (SSA) to enhance the experience of cell edge users (CEUs) and to make use of the frequency band more sufficiently in Orthogonal Frequency Division Multiple Access (OFDMA) cellular systems is presented. In OFDMA systems, most CEUs can not work normally if too many users are in edge area of the cell. Soft Frequency Reuse (SFR) interference coordination scheme is proposed in 3GPP Long Term Evolution (LTE). Because the cell edge users can only use a fraction of the entire frequency band, much more edge users will have lower rate and the throughput for CEUs is severely limited by the inter-cell interference (ICI) which must be effectively managed if we try to achieve improvements for cell edge throughput and more balanced data rates and service quality among CEUs and cell center users (CCUs). However, in our scheme, cell edge users can use the entire frequency band and they can choose the subchannels which can provide them better quality, so from the point of view that experience of CEUs and utilization of frequency band can be improved and we find that the cell edge throughput has been improved more than SFR scheme by simulation.
Keywords :
3G mobile communication; cellular radio; channel allocation; cochannel interference; frequency division multiple access; 3GPP long term evolution; cell center users; cell edge users; distributed resource allocation; intercell interference; orthogonal frequency division multiple access; soft frequency reuse interference coordination; superposition of shadow area; Distributed computing; Frequency conversion; Interference; Long Term Evolution; Quality management; Quantum computing; Radio spectrum management; Resource management; Throughput; Time frequency analysis; OFDMA; inter-cell interference; resource allocation;
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.2009.5349236
Filename :
5349236
Link To Document :
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