5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings

Research Article

Power Allocation for NOMA System via Dual Sub-gradient Descent

Download
159 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-72823-0_50,
        author={Juan Wu and Xinli Ma and Zhenyu Zhang and Zhongshan Zhang and Xiyuan Wang and Xiaomeng Chai and Linglong Dai and Xiaoming Dai},
        title={Power Allocation for NOMA System via Dual Sub-gradient Descent},
        proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings},
        proceedings_a={5GWN},
        year={2018},
        month={1},
        keywords={Non-orthogonal multiple access Power allocation Log-convex Dual sub-gradient descent},
        doi={10.1007/978-3-319-72823-0_50}
    }
    
  • Juan Wu
    Xinli Ma
    Zhenyu Zhang
    Zhongshan Zhang
    Xiyuan Wang
    Xiaomeng Chai
    Linglong Dai
    Xiaoming Dai
    Year: 2018
    Power Allocation for NOMA System via Dual Sub-gradient Descent
    5GWN
    Springer
    DOI: 10.1007/978-3-319-72823-0_50
Juan Wu1, Xinli Ma1, Zhenyu Zhang1, Zhongshan Zhang1, Xiyuan Wang1, Xiaomeng Chai1, Linglong Dai2,*, Xiaoming Dai1,*
  • 1: University of Science and Technology Beijing (USTB)
  • 2: Tsinghua University
*Contact email: daill@tsinghua.edu.cn, dxmsjtu@sohu.com

Abstract

Non-orthogonal multiple access (NOMA) has attracted great attention as a promising downlink multiple access technique for the next generation cellular networks (5G) due to its superior spectral efficiency. Power allocation of multi-user scenario in NOMA is a challenging issue and most of existing works focus on two-user scenario. In this work, we develop a dual sub-gradient descent algorithm based on Lagrange dual function to optimize multi-user power allocation for the multiple-input single-output (MISO) downlink NOMA system. The objective function is a non-convex optimization problem and we can solve it with a log-convex method and an approximation based approach. Numerical results demonstrate that the proposing scheme is able to achieve higher capacity performance for a NOMA transmission system compared with the traditional orthogonal multiple access (OMA) with a few iterations.