• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science ›› 2020, Vol. 42 ›› Issue (07): 1174-1183.doi: 10.3969/j.issn.1007-130X.2020.07.005

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Conditional decoupling design framework and performance analysis of dual-connectivity NOMA heterogeneous networks

  

  1. (1.College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070;
    2.Wireless Communication Key Laboratory of Jiangsu Province,
    Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

  • Received:2019-07-28 Revised:2019-12-10 Accepted:2020-07-25 Online:2020-07-25 Published:2020-07-25

Abstract: In order to improve the uplink performance of heterogeneous networks and coverage probability, this paper proposes a non-orthogonal multiple access (NOMA) heterogeneous network model by integrating decoupled uplink/downlink association (DUDA) and dual-connectivity schemes, and an analysis framework of conditional decoupled uplink and downlink association is designed. Meanwhile, three possible uplink association scenarios are considered, the design and analysis of the decoupled uplink associations are performed under the given conditional downlink association, and the probability expressions of the coupled uplink associations are derived. We get the statistical description of the primary and secondary access distances. Firstly, the numerical and simulation analysis shows the effect of system parameters on the association probability. Secondly, we study the conditional coverage probability and spectrum efficiency of the NOMA heterogeneous network under coupled uplink and downlink association and coupled uplink and downlink association schemes, respectively. The experimental results show that, the coverage probability performance of the proposed DUDA scheme is better than the traditional coupled uplink and downlink association (CUDA) scheme. In addition, the spectrum efficiency performance of the two schemes is related to system parameters.

Key words: heterogeneous network, dual-connectivity, non-orthogonal multiple access, decoupled uplink and downlink association, conditional association probability