10th EAI International Conference on Communications and Networking in China

Research Article

Energy-Efficient Resource Allocation for Downlink MIMO-OFDMA Systems with Proportional Rates Constraints

  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2260670,
        author={Guixian Xu and Weiguo Ma and Yuwei Ren},
        title={Energy-Efficient Resource Allocation for Downlink MIMO-OFDMA Systems with Proportional Rates Constraints},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={energy efficiency mimo-ofdma proportional fairness spectral efficiency fractional programming},
        doi={10.4108/eai.15-8-2015.2260670}
    }
    
  • Guixian Xu
    Weiguo Ma
    Yuwei Ren
    Year: 2015
    Energy-Efficient Resource Allocation for Downlink MIMO-OFDMA Systems with Proportional Rates Constraints
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2260670
Guixian Xu1,*, Weiguo Ma2, Yuwei Ren1
  • 1: Beijing University of Posts and Telecommunications
  • 2: State Key Laboratory of Wireless Mobile Communications, China Academy of Telecommunications Technology (CATT)
*Contact email: xuguixian2012@bupt.edu.cn

Abstract

In this paper, we address the problem of energy efficient resource allocation for the downlink multiple-inputmultiple- output orthogonal frequency division multiple access (MIMO-OFDMA) system. A proportional fairness based energy efficiency optimization problem with constraints of maximum transmit power is formulated, where the object is to maximize the system energy efficiency measured by ”bits/Hz/Joule”. This joint subcarrier and power allocation problem turns out to be a NP-hard problem which is hard to solve. To deal with it, a twostep subcarrier assignment and power allocation method was proposed to derive the suboptimal solution of the optimization problem. Numerical results validate that the proposed algorithm brings remarkable gains to energy efficiency as well as guarantees proportional fairness to the users.