Fairness-aware joint routing and scheduling in OFDMA-based cellular fixed relay networks

Authors:
Mohamed Salem;Abdulkareem Adinoyi;Mahmudur Rahman;Halim Yanikomeroglu;David Falconer;Young-Doo Kim;Wonjae Shin;Eungsun Kim
Affiliations:
Broadband Communications and Wireless Systems Centre, Dept. of Systems and Computer Engineering, Carleton University, Ottawa, Canada;Broadband Communications and Wireless Systems Centre, Dept. of Systems and Computer Engineering, Carleton University, Ottawa, Canada;Broadband Communications and Wireless Systems Centre, Dept. of Systems and Computer Engineering, Carleton University, Ottawa, Canada;Broadband Communications and Wireless Systems Centre, Dept. of Systems and Computer Engineering, Carleton University, Ottawa, Canada;Broadband Communications and Wireless Systems Centre, Dept. of Systems and Computer Engineering, Carleton University, Ottawa, Canada;Samsung Electronics, SAIT, Korea;Samsung Electronics, SAIT, Korea;Samsung Electronics, SAIT, Korea
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 2
Cited 1

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A fair radio resource allocation scheme for ubiquitous high-data-rate coverage in OFDMA-based cellular relay networks

GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications

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Abstract

Relaying and orthogonal frequency division multiple access (OFDMA) are the accepted technologies for emerging wireless communications standards. The activities in many wireless standardization bodies and forums, for example IEEE 802.16 j/m and LTE-Advanced, attest to this fact. The availability or lack thereof of efficient radio resource management (RRM) could make or mar the opportunities in these networks. This paper therefore provides a comprehensive RRM algorithm for OFDMA-based multi-cellular fixed relay networks in a way to ensure fairness among users with minimal impact on the network throughput (in contrast, pure opportunistic RRM techniques always favor users with good channel conditions). Unlike the majority of works in the literature, our proposed scheme is queue-aware and jointly performs routing, fair scheduling, and load balancing among cell nodes. The routing strategy has inherent learning ability and it dynamically converges to better routes.