DocumentCode
247383
Title
Optimizing radio resources for heterogeneous QoS-aware OFDMA networks using semi-smart antennas
Author
Aini Li ; Yue Liu ; Cuthbert, Laurie ; Yue Gao ; Yapeng Wang
Author_Institution
Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
fYear
2014
fDate
19-21 Nov. 2014
Firstpage
112
Lastpage
116
Abstract
The need to consider the Quality of Service (QoS) requirements of individual users and the business strategies of different operators is gaining widespread acceptance in resource allocation. OFDMA is a suitable technology for delivering very high data rate services because of its inherent ability to remove intra-cell interference. However, cell-edge users will experience high interference from neighboring cells. This paper proposes a novel radio resource management scheme in multi-cell OFDMA spectrum sharing networks to achieve the business and QoS objectives. Semi-smart antennas are employed to mitigate the co-channel interference, especially for cell-edge users, and to improve energy utilization for the overall networks. A system level simulation is implemented and the results show the proposed scheme improves the qualified user number in different load networks within a satisfactory system throughput.
Keywords
OFDM modulation; adaptive antenna arrays; cochannel interference; frequency division multiple access; quality of service; radio spectrum management; resource allocation; QoS-aware OFDMA networks; cell-edge users; cochannel interference; intracell interference; multicell OFDMA spectrum sharing networks; quality of service; radio resource management scheme; resource allocation; semi-smart antennas; Adaptive arrays; Genetic algorithms; Optimization; Quality of service; Resource management; Throughput; OFDMA; QoS business strategies; resource management; semi-smart antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Systems (ICCS), 2014 IEEE International Conference on
Conference_Location
Macau
Type
conf
DOI
10.1109/ICCS.2014.7024776
Filename
7024776
Link To Document