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http://dx.doi.org/10.3837/tiis.2018.05.001

A QEE-Oriented Fair Power Allocation for Two-tier Heterogeneous Networks  

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)
He, Yanhua (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University)
Li, Shuxian (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University)
Du, Shimo (China mobile communication corporation H angzhou branch)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.12, no.5, 2018 , pp. 1912-1931 More about this Journal
Abstract
In future wireless network, user experience and energy efficiency will play more and more important roles in the communication systems compared to their roles at present. Quality of experience (QoE) and Energy Efficiency (EE) become the widely used metrics. In this paper, we study a combinatorial problem of QoE and EE and investigate a fair power allocation in heterogeneous networks. We first design a new metric, QoE-aware EE (QEE) to reflect the relationship of QoE and energy. Then, the concept of Utopia QEE is introduced, which is defined as the achievable maximum QEE in ideal conditions, for each user. Finally, we transform the power allocation process to an optimization of ratio of QEE and Utopia QEE and use invasive weed optimization (IWO) algorithm to solve the optimization problem. Numerical simulation results indicate that the proposed algorithm can get converged and efficiently improve the system energy efficiency and the QoE for each user.
Keywords
QEE; power allocation; two-tier heterogeneous networks; IWO;
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