Non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) transmission has recently received significant research attention due to its outstanding ability of serving grant-free (GF) users with grant-based (GB) users' spectrum, {\color{blue}which can greatly improve the spectrum efficiency and effectively relieve the massive access problem of 5G and beyond networks. In this paper, we investigate the performance of SGF schemes under more practical settings.} Firstly, we study the outage performance of the best user scheduling SGF scheme (BU-SGF) by considering the impacts of Rayleigh fading, path loss, and random user locations. Then, a fair SGF scheme is proposed by applying cumulative distribution function (CDF)-based scheduling (CS-SGF), which can also make full use of multi-user diversity. Moreover, by employing the theories of order statistics and stochastic geometry, we analyze the outage performances of both BU-SGF and CS-SGF schemes. Results show that full diversity orders can be achieved only when the served users' data rate is capped, which severely limit the rate performance of SGF schemes. To further address this issue, we propose a distributed power control strategy to relax such data rate constraint, and derive closed-form expressions of the two schemes' outage performances under this strategy. Finally, simulation results validate the fairness performance of the proposed CS-SGF scheme, the effectiveness of the power control strategy, and the accuracy of the theoretical analyses.
翻译:最近,由于能够以赠款为基础的用户频谱为无赠款用户提供服务,所以最近引起了重要的研究关注,因为其非常有能力为无赠款用户提供基于赠款用户频谱(color{blue}),这可以大大提高频谱效率,并有效地缓解5G网络和网络以外的大规模访问问题。此外,在本文件中,我们利用秩序统计理论和系统化校准测量方法,在更实际的环境下,我们分析SGF计划的最佳用户排期计划(BU-SGF计划)的超额业绩。结果显示,只有在所服务的用户数据率达到上限、路径丧失和随机用户地点的影响,才能实现完全多样性计划。然后,通过应用基于赠款用户频谱的累积分配功能(CDF)的时间安排(CS-SGF),提出公平的分配计划,从而大大限制SFFS的系统绩效分析。此外,我们利用秩序统计理论理论和系统校正的校正校正测量方法,分析BU-SGF和C-S-SGF计划的超额业绩。结果显示,只有当所服务用户数据数据率达到上限时才能进一步实现完全多样化命令,从而推算出S-GFFS的系统。