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

Energy-efficient Power Allocation based on worst-case performance optimization under channel uncertainties


Abstract

In the practical communication environment, the accurate channel state information (CSI) is difficult to obtain, which will cause the mismatch of resource and degrade the system performance. In this paper, to account for the channel uncertainties, a robust power allocation scheme for a downlink Non-orthogonal multiple access (NOMA) heterogeneous network (HetNet) is designed to maximize energy efficiency (EE), which can ensure the quality of service (QoS) of users. We conduct the robust optimization model based on worse-case method, in which the channel gains belong to certain ellipsoid sets. To solve the non-convex non-liner optimization , we transform the optimization problem via Dinkelbach method and sequential convex programming, and the power allocation of small cell users (SCUs) is achieved by Lagrange dual approach. Finally, we analysis the convergence performance of proposed scheme. The simulation results demonstrate that the proposed algorithm can improve total EE of SCUs, and has a fast convergence performance.


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Cite this article

[IEEE Style]
X. Song, L. Dong, X. Huang, L. Qin and X. Han, "Energy-efficient Power Allocation based on worst-case performance optimization under channel uncertainties," KSII Transactions on Internet and Information Systems, vol. 14, no. 11, pp. 4595-4610, 2020. DOI: 10.3837/tiis.2020.11.019.

[ACM Style]
Xin Song, Li Dong, Xue Huang, Lei Qin, and Xiuwei Han. 2020. Energy-efficient Power Allocation based on worst-case performance optimization under channel uncertainties. KSII Transactions on Internet and Information Systems, 14, 11, (2020), 4595-4610. DOI: 10.3837/tiis.2020.11.019.