KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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QoE-aware Energy Efficiency Maximization Based Joint User Access Selection and Power Allocation for Heterogeneous Network

  • Ji, Shiyu (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University) ;
  • Tang, Liangrui (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University) ;
  • Xu, Chen (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University) ;
  • Du, Shimo (China Mobile Company) ;
  • Zhu, Jiajia (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University) ;
  • Hu, Hailin (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University)
  • Received : 2017.03.11
  • Accepted : 2017.06.17
  • Published : 2017.10.31
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Abstract

In future, since the user experience plays a more and more important role in the development of today's communication systems, quality of experience (QoE) becomes a widely used metric, which reflects the subjective experience of end users for wireless service. In addition, the energy efficiency is an increasingly important problem with the explosive growth in the amount of wireless terminals and nodes. Hence, a QoE-aware energy efficiency maximization based joint user access selection and power allocation approach is proposed to solve the problem. We transform the joint allocation process to an optimization of energy efficiency by establishing an energy efficiency model, and then the optimization problem is solved by chaotic clone immune algorithm (CCIA). Numerical simulation results indicate that the proposed algorithm can efficiently and reliably improve the QoE and ensure high energy efficiency of networks.

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References

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