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

Research Article

Joint Time and Power Allocations for Uplink Nonorthogonal Multiple Access Networks

  • @INPROCEEDINGS{10.1007/978-3-030-00557-3_48,
        author={Yuan Wu and Cheng Zhang and Kejie Ni and Jiajun Shi and Liping Qian and Liang Huang and Weidang Lu and Limin Meng},
        title={Joint Time and Power Allocations for Uplink Nonorthogonal Multiple Access Networks},
        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={Nonorthogonal multiple access Radio resource management Optimization},
        doi={10.1007/978-3-030-00557-3_48}
    }
    
  • Yuan Wu
    Cheng Zhang
    Kejie Ni
    Jiajun Shi
    Liping Qian
    Liang Huang
    Weidang Lu
    Limin Meng
    Year: 2018
    Joint Time and Power Allocations for Uplink Nonorthogonal Multiple Access Networks
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-00557-3_48
Yuan Wu,*, Cheng Zhang1,*, Kejie Ni1,*, Jiajun Shi1,*, Liping Qian1,*, Liang Huang1,*, Weidang Lu1,*, Limin Meng1,*
  • 1: Zhejiang University of Technology
*Contact email: iewuy@zjut.edu.cn, czhang_zjut@163.com, kjni_zjut@163.com, jjshi_zjut@163.com, lpqian@zjut.edu.cn, lianghuang@zjut.edu.cn, luwd@zjut.edu.cn, mlm@zjut.edu.cn

Abstract

The rapid development of mobile Internet services has yielded tremendous traffic pressure on cellular radio access networks. Exploiting nonorthogonal multiple access (NOMA) that enables a group of mobile users (MUs) to simultaneously share a same spectrum channel for radio access provides an efficient approach to achieve the goals of ultra-high throughput and massive connectivity in future 5G network. In this paper, we propose a joint time and power allocations for uplink NOMA. We aim at minimizing the delay for transmission and the total energy consumption of all MUs when the MUs send their data to the BS, while satisfying each MU’s constrains on the transmission delay and energy consumption. Numerical results are provided to validate our proposed algorithm and the performance and advantage of our proposed joint optimization for time and power allocations for uplink NOMA.