Journal of South China University of Technology(Natural Science Edition) ›› 2022, Vol. 50 ›› Issue (4): 56-64.doi: 10.12141/j.issn.1000-565X.210355

Special Issue: 2022年电子、通信与自动控制

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Energy Efficient Resource Allocation for Multicell Full-Duplex Distributed Antenna Systems

LIU Zhan1 FENG Suili2   

  1. 1． School of Electronic and Information Engineering，South China University of Technology，Guangzhou 510640，Guangdong，
    China; 2． School of Information，Hunan University of Humanities，Science and Technology，Loudi 417000，Hunan，China
  • Received:2021-06-01 Revised:2021-10-05 Online:2022-04-25 Published:2021-10-15
  • Contact: 冯穗力 (1955-)，男，教授，博士生导师，主要从事通信网络领域方面的研究 E-mail:fengsl@ scut. edu. cn
  • About author:刘湛 (1979-)，男，博士，讲师，主要从事无线通信研究

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Abstract: In this paper, we address the problem of energy efficient resource allocation in multi-cell full-duplex distributed antenna systems (DAS). Considering the user's quality-of-service (QoS) requirements and per-RAU and per-user power constraints, we jointly optimized the uplink and downlink beamforming factors, user transmit power, and remote antenna unit (RAU) selection to maximize system energy efficiency. Firstly, the objective function is converted from fractional order form to subtraction form through fractional programming, and an iterative resource allocation algorithm is proposed, which needs to solve internal problems in each iteration. Then, using hierarchical decomposition and successive convex approximation, the internal non-convex problem is transformed into a series of iterative convex optimization problems. Simulation results show that the proposed algorithm can significantly improve energy efficiency.

Key words: full-duplex, distributed antenna system, energy efficiency, resource allocation