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

• Xin Song,
• Li Dong,
• Xue Huang,
• Lei Qin,
• Xiuwei Han,

Vol. 14, No. 11, November 30, 2020
10.3837/tiis.2020.11.019, Download Paper (Free):

• Non-orthogonal multiple access technology
• Heterogeneous networks
• Energy Efficiency
• Channel state information
• robust power allocation
• Dinkelbach method
• sequential convex programming
• Lagrange dual approach

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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