The works in this study examine three scenarios. The scenario (I) as a common scenario with the base station (BS) and users are equipped with multiple antennae over Nakagami-m fading channels. To improve system performance, the transmit antenna selection (TAS) and maximization of successive interference cancellation (max-SIC) framework are deployed. A novel cumulative distribute function (CDF) for the scenario (I) is proposed, and the outage probability (OP) in novel closed form can be obtained. It is challenging due to scenario (I) consists of massive users equipped with multiple antennae over Nakagami-m fading channels. Therefore, this study proposes scenario (II) with a maximum of SIC and minimum of instantaneous bit rate (max-SIC-min-rate) framework for aiding multiple access to reduce the algorithm complexity of the scenario (I). Some adaptive multiple access strategies are proposed as adaptive PA factors, adaptive min–max bit rate threshold, and adaptive Nakagami-m coefficient are proposed. Finally, the scenario (III) is examined by also applying the max-SIC-min-rate framework as the scenario (II), however, comparing to the adaptive min–max bit rate threshold to investigate the OP, system throughput, and energy-efficient (EE) performances. The obtained results as shown in the numerical results section confirm that, on one hand, the system performance of the scenario (II) is approximate or better than the scenario (I) at the same transmit power; on another hand, the scenario (III) reaches the system throughput and EE performances better than the other scenarios at the high transmit power. The analysis results are proved and verified by Monte Carlo simulation results.

中文翻译：

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自适应多址接入在多输入多输出非正交多址无线网络上为多个用户提供帮助

本研究中的工作检查了三种情况。场景（I）作为基站（BS）和用户在 Nakagami- m衰落信道上配备多个天线的常见场景。为了提高系统性能，部署了发射天线选择 (TAS) 和连续干扰消除最大化 (max-SIC) 框架。针对场景(I)提出了一种新的累积分布函数(CDF)，并且可以获得新的封闭形式的中断概率(OP)。这是由于方案（I）由挑战配备多天线在Nakagami-大量用户的米衰落的频道。因此，本研究提出场景（II）的最大SIC和最小瞬时比特率（max-SIC-min-rate）框架，用于辅助多址接入，以降低场景（I）的算法复杂度。一些自适应多址策略被提出作为自适应 PA 因子、自适应最小-最大比特率阈值和自适应 Nakagami- m系数提出。最后，通过将 max-SIC-min-rate 框架也应用于场景 (II) 来检查场景 (III)，然而，与自适应最小-最大比特率阈值相比，以研究 OP、系统吞吐量和能量- 高效 (EE) 性能。所得结果如数值结果部分所示，一方面，在相同发射功率下，场景(II)的系统性能接近或优于场景(I)；另一方面，场景(III)在高发射功率下达到了比其他场景更好的系统吞吐量和EE性能。分析结果得到了蒙特卡罗模拟结果的证明和验证。