Joint Time and Power Allocations for Uplink Nonorthogonal Multiple Access Networks

  • Yuan WuEmail author
  • Cheng Zhang
  • Kejie Ni
  • Jiajun Shi
  • Liping Qian
  • Liang Huang
  • Weidang Lu
  • Limin Meng
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 251)


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.


Nonorthogonal multiple access Radio resource management Optimization 



This work was supported in part by the National Natural Science Foundation of China under Grant 61572440, in part by the Zhejiang Provincial Natural Science Foundation of China under Grants LR17F010002 and LR16F010003, in part by the Young Talent Cultivation Project of Zhejiang Association for Science and Technology under Grant 2016YCGC011.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Yuan Wu
    • 1
    • 2
    Email author
  • Cheng Zhang
    • 1
  • Kejie Ni
    • 1
  • Jiajun Shi
    • 1
  • Liping Qian
    • 1
  • Liang Huang
    • 1
  • Weidang Lu
    • 1
  • Limin Meng
    • 1
  1. 1.College of Information EngineeringZhejiang University of TechnologyHangzhouChina
  2. 2.State Key Laboratory of Integrated Services NetworksXidian UniversityXianChina

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