Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems

Authors:
Rui Wang;Vincent K. N. Lau;Cui Ying;Kaibin Huang;Bin Chen;Xia Yang
Affiliations:
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technologies, Hong Kong;Department of Electronic and Computer Engineering, Hong Kong University of Science and Technologies, Hong Kong;Department of Electronic and Computer Engineering, Hong Kong University of Science and Technologies, Hong Kong;Department of Electronic and Computer Engineering, Hong Kong University of Science and Technologies, Hong Kong;Huawei Technologies Co., Ltd.;Huawei Technologies Co., Ltd.
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

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Abstract

In this paper, we consider a relay-assisted cognitive cellular downlink system dynamically accessing a spectrum licensed to a primary network, thereby improving the efficiency of spectrum usage. A cluster-based relay-assisted architecture is proposed, where relay stations are employed for minimizing the interference to users in the primary network and achieving fairness for cell-edge users. Based on this architecture, an optimal solution is derived for jointly controlling data rate, transmission power, and subband allocation to optimize the weighted sum goodput where proportional fair scheduling (PFS) is included as a special case. As shown by simulations, the proposed solution achieves significant throughput gains and better user fairness compared with existing designs.