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Slotted Aloha-NOMA with MIMO Beamforming for Massive M2M Communication in IoT Networks

机译:具有MIMO波束成形的开槽Aloha-NOMA,用于IOT网络中的大规模M2M通信

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This paper proposes an uncoordinated random medium access protocol for Internet of Thing (IoT) networks incorporating conventional slotted Aloha (SA) with power domain non-orthogonal multiple access (PD-NOMA) and multiple-input multiple-output beamforming (MIMO BF). The number of active IoT devices, which is not known a priori, is detected at the IoT gateway via multiple hypothesis testing. The proposed protocol referred to as BF-SA-NOMA is not only scalable and compatible with the power-limited IoT devices, but it also uses beamforming to significantly improve the throughput to 1.31 compared with 0.36 in conventional slotted Aloha when 6 active IoT devices can be successfully separated using 2x2 MIMO and a SIC (Successive Interference Cancellation) receiver with 3 optimum power levels. The simulation results further show that the proposed protocol achieves higher throughput than Aloha-NOMA with a lower average channel access delay.
机译:本文提出了一种不协调的随机媒体访问协议,用于将传统的开槽Aloha(SA)的无线网络(物联网)网络,其具有功率域非正交多次访问(PD-NOMA)和多输入多输出波束形成(MIMO BF)。 通过多个假设测试在IOT网关中检测到未知的主动物联网设备的数量。 被称为BF-SA-NOMA的所提出的协议不仅可以扩展和与电力有限的物流设备设备兼容,而且当6个有效的IOT设备时,它也使用波束成形来显着提高到1.31的吞吐量。 使用具有3个最佳功率水平的2x2 MIMO和SIC(连续干扰消除)接收器成功分离。 仿真结果进一步表明,该方案比具有较低平均通道访问延迟的Aloha-Noma来实现较高的产量。

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