• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Resource Allocation for Relay-Aided Cooperative Systems Based on Multi-Objective Optimization


Abstract

This paper studies resource allocation schemes for the relay-aided cooperative system consisting of multiple source-destination pairs and decode-forward (DF) relays. Specially, relaying selection, multisubcarrier pairing and assignment, and power allocation are investigated jointly. We consider a combinatorial optimization problem on quality of experience (QoE) and energy consumption based on relay-aided cooperative system. For providing better QoE and lower energy consumption we formulate a multi-objective optimization problem to maximize the total mean opinion score (MOS) value and minimize the total power consumption. To this end, we employ the nondominated sorting genetic algorithm version II (NSGA-II) and obtain sets of Pareto optimal solutions. Specially, two formulas are devised for the optimal solutions of the multi-objective optimization problems with and without a service priority constraint. Moreover, simulation results show that the proposed schemes are superior to the existing ones.


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Cite this article

[IEEE Style]
Runze Wu, Jiajia Zhu, Hailin Hu, Yanhua He and Liangrui Tang, "Resource Allocation for Relay-Aided Cooperative Systems Based on Multi-Objective Optimization," KSII Transactions on Internet and Information Systems, vol. 12, no. 5, pp. 2177-2193, 2018. DOI: 10.3837/tiis.2018.05.015

[ACM Style]
Wu, R., Zhu, J., Hu, H., He, Y., and Tang, L. 2018. Resource Allocation for Relay-Aided Cooperative Systems Based on Multi-Objective Optimization. KSII Transactions on Internet and Information Systems, 12, 5, (2018), 2177-2193. DOI: 10.3837/tiis.2018.05.015