SCIENTIA SINICA Informationis, Volume 47 , Issue 6 : 789-799(2017) https://doi.org/10.1360/N112017-00038

An SCMA control channel accessing scheme based on codebook-hopping under hyper-cellular network architecture

More info
  • ReceivedFeb 15, 2017
  • AcceptedMar 27, 2017
  • PublishedJun 13, 2017


To satisfy the growing demand on data traffic in hyper-cellular networks while at the same time ensuring high-energy efficiency, soft coverage can be effectively utilized in networks, by separating the control and data channels. In this view, with no data to be transmitted the system is in the sleep mode, and with a certain demand on data transmission the system will wake up and will send control signals in a grant-free manner. As one of the most promising random access schemes, Sparse Code Multiple Access (SCMA) allows users to adopt dedicated codebooks to send their data, with superposed code words. However, owing to the lack of scheduling in random access, different users may accidentally use the same codebook, which is called codebook collision and would result in performance degradation. To alleviate this degradation, we propose a codebook-hopping scheme by adopting time-variant codebooks with different patterns for different users. Simulation results show that the proposed scheme improves the performance in terms of the block error rate. In addition, with selective elimination of SCMA sub-blocks in the case of severe codebook collision, the complexity and latency of decoding can be significantly reduced. By doing so, the system can achieve high reliability and low latency for controlling signals in hyper-cellular networks.

Funded by






  • Figure 1

    (Color online) SCMA factor graph when all users adopt different codebook. $L=4$, $N=2$, $K=6$, $U=6$

  • Figure 2

    (Color online) SCMA factor graph when codebook collision occurs on codebook 3

  • Figure 3

    (Color online) Codebook collision pattern under codebook-hopping SCMA scheme

  • Figure 4

    (Color online) Codebook collision pattern under original SCMA scheme

  • Figure 5

    (Color online) BLER of different schemes

  • Figure 6

    (Color online) Complexity of different schemes

  • Table 1   Codebook collision situations with their corresponding probability
    $\alpha$ b Probability
    1 [6] 0.002%
    [5,1] 0.39%
    [4,2] 3.86%
    [3,3] 0.64%
    [4,1,1] 0.97%
    [3,2,1] 15.43%
    [3,1,1,1] 15.43%
    [2,2,1,1] 34.73%
    5 [2,1,1,1,1] 23.15%
    6 [1,1,1,1,1,1] 1.54%
  • Table 2   Simulation parameter
    Meaning Simulation parameter
    Average accessing users $U$ 6
    Resources per SCMA sub-block $L$ 4
    Resources taken up per user per SCMA sub-block $N$ 2
    SCMA codebook numbers $J$ 6
    SCMA mother constellation size $M$ 16
    SCMA sub-block size 4 bits
    Information block size 200 bits
    Coding efficiency of turbo code 2/3
    Channel model Block fading, Gaussian channel

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备17057255号       京公网安备11010102003388号