Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings

Research Article

Energy-Efficient Power Allocation Scheme Based on Discrete-Rate Adaptive Modulation in Distributed Antenna System

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  • @INPROCEEDINGS{10.1007/978-3-030-00557-3_29,
        author={Xi Wang and Xiangbin Yu and Tao Teng and Guangying Wang},
        title={Energy-Efficient Power Allocation Scheme Based on Discrete-Rate Adaptive Modulation in Distributed Antenna System},
        proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings},
        proceedings_a={MLICOM},
        year={2018},
        month={10},
        keywords={Energy efficiency Optimal power allocation Discrete-rate adaptive modulation Distributed antenna system Spectrum efficiency},
        doi={10.1007/978-3-030-00557-3_29}
    }
    
  • Xi Wang
    Xiangbin Yu
    Tao Teng
    Guangying Wang
    Year: 2018
    Energy-Efficient Power Allocation Scheme Based on Discrete-Rate Adaptive Modulation in Distributed Antenna System
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-00557-3_29
Xi Wang1,*, Xiangbin Yu, Tao Teng1, Guangying Wang1
  • 1: Nanjing University of Aeronautics and Astronautics
*Contact email: woxiaoniu_wang@163.com

Abstract

In this paper, the energy efficiency (EE) for a distributed antenna system (DAS) with discrete-rate adaptive modulation (AM) is investigated, and an optimal adaptive power allocation (PA) scheme for maximizing EE is developed. First of all, the system model of DAS based on discrete-rate AM is presented. Then, subject to transmit power per antenna and target bit error rate (BER), a constrained optimized problem is formulated to maximize EE of DAS. By solving KKT conditions, we derive the optimal solution as a closed form. The obtained closed-form expression is applicable to DAS with an arbitrary number of distributed antennas (DA) ports and general per-DA port power and target BER constraints. To illustrate the validity of the developed scheme, the exhaustive search method is used in the simulation to compare with the developed scheme. As a result, the proposed power allocation method produces the EE and spectrum efficiency (SE) identical to the exhaustive search method with remarkably reduced computational complexity. Moreover, the EE and SE of the DAS with AM increase as the target BER increases.