10th EAI International Conference on Communications and Networking in China

Research Article

Power Allocation for Uplink Multi-user Energy Harvesting Relay Systems with Sleep Mode

  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2260546,
        author={Mengyao Zhang and Jianhua Zhang and Yuning Wang and Yue Dong and Shaodan Wang},
        title={Power Allocation for Uplink Multi-user Energy Harvesting Relay Systems with Sleep Mode},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={energy harvesting power allocation heuristic algorithm},
        doi={10.4108/eai.15-8-2015.2260546}
    }
    
  • Mengyao Zhang
    Jianhua Zhang
    Yuning Wang
    Yue Dong
    Shaodan Wang
    Year: 2015
    Power Allocation for Uplink Multi-user Energy Harvesting Relay Systems with Sleep Mode
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2260546
Mengyao Zhang1,*, Jianhua Zhang1, Yuning Wang1, Yue Dong1, Shaodan Wang2
  • 1: Beijing University of Posts and telecommunication
  • 2: Beijing University of Aeronautics and Astronautics
*Contact email: zmy6488@163.com

Abstract

Contributing to both energy-deficiency alleviation and carbon footprint reduction, energy harvesting (EH) and sleep mode (SM) are deemed to be promising techniques these days. Different from existing researches, this paper considers uplink multi-user relay systems which adopt these two kinds of technologies. The relay in our system is an EH node with random charging rate while the base station (BS) is supplied by power grid and users work with traditional rechargeable batteries. We propose a novel power allocation scheme with which the system can minimize the total energy consumption. After formulating a joint optimization problem, we put forward a heuristic algorithm and successfully decrease the computational complexity. Firstly, by fixing the transmission time, we transform the problem into a convex optimization problem. Secondly, the shortest transmission time can be obtained by the method of bisection. The simulation results show that the proposed scheme can effectively bring a lower energy consumption, and we further validate that a combination of EH and SM plays a significant role in energy saving.