Grant-Free Non-Orthogonal Multiple Access: A Key Enabler for 6G-IoT [article]

Rana Abbas, Tao Huang, Basit Shahab, Mahyar Shirvanimoghaddam, Yonghui Li, Branka Vucetic
<span title="2020-03-23">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The proliferating number of devices with short payloads as well as low power budget has already driven researchers away from classical grant-based access schemes that are notorious for their large signalling overhead as well as power-consuming retransmissions. Instead, light-weight random access protocols have been re-investigated and their throughput has been improved in orders of magnitude with sophisticated yet still low-complex transceiver algorithms. In fact, grant-free access has been
more &raquo; ... tified as a key medium access control technique for providing massive connectivity in machine type communications in cellular networks. In this paper, we show that grant-free access combined with non-orthogonal transmission schemes is a promising solution for 6G Internet of Things (IoT). We present novel and promising results for deep learning (DL)-based techniques for joint user detection and decoding. Then, we propose a multi-layered model for GF-NOMA for power-efficient communications. We also discuss resource allocation issues to enable the co-existence of GF-NOMA with other orthogonal or even grant-based schemes. Finally, we conclude with proposed research directions for medium access towards enabling 6G-IoT.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="">arXiv:2003.10257v1</a> <a target="_blank" rel="external noopener" href="">fatcat:owtfsqzvsjgqfacacriw5z24uu</a> </span>
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