A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit <a rel="external noopener" href="https://arxiv.org/ftp/arxiv/papers/2003/2003.10257.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Grant-Free Non-Orthogonal Multiple Access: A Key Enabler for 6G-IoT
[article]
<span title="2020-03-23">2020</span>
<i >
arXiv
</i>
<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
<span class="external-identifiers">
<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.10257v1">arXiv:2003.10257v1</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/owtfsqzvsjgqfacacriw5z24uu">fatcat:owtfsqzvsjgqfacacriw5z24uu</a>
</span>
more »
... 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.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200326072622/https://arxiv.org/ftp/arxiv/papers/2003/2003.10257.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
</button>
</a>
<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.10257v1" title="arxiv.org access">
<button class="ui compact blue labeled icon button serp-button">
<i class="file alternate outline icon"></i>
arxiv.org
</button>
</a>