为物联网网络中的大规模M2M通信启用开槽Aloha-NOMA

Mohamed Elkourdi, Asim Mazin, Eren Balevi, R. Gitlin
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引用次数: 24

摘要

物联网(IoT)是嵌入传感器、执行器和连接性的物理设备网络,随着5G无线网络的出现,物联网正在加速成为主流。本文提出了一种非协调的非正交随机接入协议,该协议是对最近推出的Slotted Aloha-NOMA (SAN)协议的增强,该协议提供了高吞吐量,同时匹配了物联网设备的低复杂性要求和零星流量模式。在理想条件下,使用功率域正交性的开槽Aloha-NOMA (SAN)可以显著提高使用SIC(连续干扰消除)的吞吐量,从而能够正确接收多个同时发送的信号。为了达到理想的性能,增强的SAN接收器使用一种多假设检验的形式自适应地学习活动设备的数量(这不是先验已知的)。对于少量同时传输,结果表明,相对于有槽Aloha (SA),在0.07的传输概率和多达3个有源发射机的情况下,可以获得5.5 dB的可观吞吐量增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling slotted Aloha-NOMA for massive M2M communication in IoT networks
The Internet of things (IoT), which is the network of physical devices embedded with sensors, actuators, and connectivity, is being accelerated into the mainstream by the emergence of 5G wireless networking. This paper presents an uncoordinated non-orthogonal random access protocol, which is an enhancement to the recently introduced Slotted Aloha-NOMA (SAN) protocol that provides high throughput, while being matched to the low complexity requirements and the sporadic traffic pattern of IoT devices. Under ideal conditions it has been shown that Slotted Aloha-NOMA (SAN), using power-domain orthogonality, can significantly increase the throughput using SIC (Successive Interference Cancellation) to enable correct reception of multiple simultaneous transmitted signals. For this ideal performance, the enhanced SAN receiver adaptively learns the number of active devices (which is not known a priori) using a form of multi-hypothesis testing. For small numbers of simultaneous transmissions, it is shown that there can be substantial throughput gain of 5.5 dB relative to slotted Aloha (SA) for 0.07 probability of transmission and up to 3 active transmitters.
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