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Robust Transmit Antenna Design for Performance Improvement of Cell-Edge Users: Approach of NOMA and Outage/Ergodic Capacity Analysis

机译:用于提高小区边缘用户性能的稳健发射天线设计:NOMA方法和停电/遍历容量分析

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摘要

In this investigation, a wireless sensor network using a non-orthogonal multiple access (NOMA) system is considered in two scenarios related to the number of serving access point/base stations, where two policies provide system performance improvement in two sensors (the near user and the far user). To improve performance efficiency, two robust transmit antenna strategies are designed related to the access point/base station (BS), namely (i) Transmit Antenna Selection (TAS) mode and (ii) two base station (TBS) approach to simultaneously serve NOMA users. First, the TAS scheme is implemented to provide suboptimal outage performance for such NOMA, in which BS equipped at least two antennas while NOMA users are equippeda single antenna. Secondly, the TBS scheme is conducted to enhance the outage performance, especially considering priority evaluation for the far user in user pairs. As an important result, such far users in two proposed schemes are studied by introducing the exact closed-form expression to examine outage behavior. Accordingly, the closed-form expressions regarding ergodic capacity can be further obtained. To corroborate the exactness of these metrics, Monte Carlo simulation is performed. In addition, the proposed schemes exhibit various performance evaluations accompanied by different related parameters such as power allocation factors, the number of transmit antenna, and transmit signal-to-noise ratio (SNR).
机译:在此调查中,在与服务接入点/基站数量有关的两种情况下,考虑了使用非正交多址(NOMA)系统的无线传感器网络,其中两种策略在两个传感器(近距离用户)中提高了系统性能。和远端使用者)。为了提高性能效率,设计了两种与接入点/基站(BS)相关的健壮的发射天线策略,即(i)发射天线选择(TAS)模式和(ii)同时为NOMA服务的两个基站(TBS)方法用户。首先,实施TAS方案以为此类NOMA提供次佳的中断性能,其中BS配备了至少两个天线,而NOMA用户则配备了单个天线。其次,进行TBS方案以增强中断性能,特别是考虑在用户对中对远程用户进行优先级评估。重要的结果是,通过引入精确的封闭形式表达式来检查中断行为,研究了两种建议方案中的此类远距离用户。因此,可以进一步获得关于遍历能力的封闭形式。为了证实这些度量的准确性,执行了蒙特卡洛模拟。另外,所提出的方案表现出各种性能评估,并伴随着不同的相关参数,例如功率分配因子,发射天线的数量和发射信噪比(SNR)。

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