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

  • Wu, Runze (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University) ;
  • Zhu, Jiajia (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University) ;
  • Hu, Hailin (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University) ;
  • He, Yanhua (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University) ;
  • Tang, Liangrui (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University)
  • Received : 2017.10.13
  • Accepted : 2018.01.02
  • Published : 2018.05.31

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.

Keywords

References

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