1st Workshop on Fog Computing-Based Radio Access Networks for 5G

Research Article

Power Allocation Strategy in NOMA-Based Cloud Radio Access Networks

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  • @INPROCEEDINGS{10.4108/eai.13-7-2017.2270155,
        author={Wei Xu and Yong Li},
        title={Power Allocation Strategy in NOMA-Based Cloud Radio Access Networks},
        proceedings={1st Workshop on Fog Computing-Based Radio Access Networks for 5G},
        publisher={EAI},
        proceedings_a={F-RAN 5G},
        year={2017},
        month={12},
        keywords={non-orthogonal multiple access cloud radio access networks decoding order multi-user power allocation},
        doi={10.4108/eai.13-7-2017.2270155}
    }
    
  • Wei Xu
    Yong Li
    Year: 2017
    Power Allocation Strategy in NOMA-Based Cloud Radio Access Networks
    F-RAN 5G
    EAI
    DOI: 10.4108/eai.13-7-2017.2270155
Wei Xu1,*, Yong Li1
  • 1: Beijing University of Posts and Telecommunications
*Contact email: vivi439@bupt.edu.cn

Abstract

This paper investigates power allocation strategy for a small cell in cloud radio access networks (C-RANs) applying non-orthogonal multiple access (NOMA) technique in an ideal scenario without inter-cell interference and fronthaul constraint. We firstly formulate an optimization problem in terms of decoding order and power allocation among multiple users to maximize the total throughput under a sum power constraint and quality of service conditions. Then we verify the relationship between channel gain order and decoding order, after that we remove one constraint to relax the problem, and propose a power allocation algorithm with low complexity. Monte Carlo simulation results show that the proposed algorithm outperforms other power allocation strategies.