QoE-aware Energy Efficiency Maximization Based Joint User Access Selection and Power Allocation for Heterogeneous Network

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.

Bulletin of the Polish Academy of Sciences: Technical Sciences

“…Most current non-orthogonal systems are based on single site scenarios [18][19][20][21][22][23] and the effect of intercell and external interference on practical multicarrier mobile networks has not been discussed, while inter-cell interference has a major effect on network functionality. Scenarios such as those for Prestegard [25] have used joint resource allocation and user association in current OMA mobile networks and single site non-orthogonal multiple access networks [26].…”