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Throughput-fairness optimization in energy-limited user-relay wireless networks

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Abstract

Throughput and fairness are conflicting objectives in many networking scenarios. To address this issue, relays have been considered/used to improve the overall throughput without sacrificing fairness. However, we observe that in a relay-based wireless network, throughput-based fairness significantly limits the performance of the relay users when they are energy limited. To overcome this issue, we propose the notion of max–min energy efficiency throughput fairness, by which relay users with a higher energy consumption can reap a higher throughput. We further propose an efficient data rate allocation algorithm to achieve the fairness objective in a multi-hop relay wireless network. Simulation results show the advantages of the proposed fairness policy compared to other fairness objectives.

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Acknowledgments

The work was partially supported by UC Davis Chancellor’s fellowship, and NSF Grants 1423542 and 1147930. Part of the work was presented at IFIP Networking 2007 conference [29]. The authors thank the editor and all the reviewers for their insightful comments and suggestions, which significantly improved the quality of the paper.

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Correspondence to Dan Xu.

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Xu, D., Liu, X. Throughput-fairness optimization in energy-limited user-relay wireless networks. Wireless Netw 21, 1047–1060 (2015). https://doi.org/10.1007/s11276-014-0829-4

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  • DOI: https://doi.org/10.1007/s11276-014-0829-4

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