LoCoNOMA: A grant-free resource allocation for massive MTC

IF 4.4 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computer Networks Pub Date : 2024-10-16 DOI:10.1016/j.comnet.2024.110859
Ibtissem Oueslati , Oussama Habachi , Jean-Pierre Cances , Vahid Meghdadi
{"title":"LoCoNOMA: A grant-free resource allocation for massive MTC","authors":"Ibtissem Oueslati ,&nbsp;Oussama Habachi ,&nbsp;Jean-Pierre Cances ,&nbsp;Vahid Meghdadi","doi":"10.1016/j.comnet.2024.110859","DOIUrl":null,"url":null,"abstract":"<div><div>Massive machine-type communications (mMTC) represent a significant challenge in the fifth generation of wireless networks (5G) and become increasingly critical in the sixth generation (6G) due to the limited frequency spectrum. Addressing the demands of mMTC requires efficient resource sharing among multiple users. Integrating Grant-Free (GF) access with Non-Orthogonal Multiple Access (NOMA) is a promising strategy to improve spectral efficiency. However, it may cause additional interference and complexity at the gNodeB (gNB) side. To mitigate these issues, we propose a novel, low-complexity GF-NOMA framework for joint power and channel allocation, where devices autonomously select their sub-carriers and power levels in a fully distributed manner. Besides, the gNB’s role is limited to sending a global feedback for device coordination. The proposed technique has been validated analytically and through simulation, demonstrating superior performance compared to existing approaches, in particular for the massive access scenario.</div></div>","PeriodicalId":50637,"journal":{"name":"Computer Networks","volume":"255 ","pages":"Article 110859"},"PeriodicalIF":4.4000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389128624006911","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

Abstract

Massive machine-type communications (mMTC) represent a significant challenge in the fifth generation of wireless networks (5G) and become increasingly critical in the sixth generation (6G) due to the limited frequency spectrum. Addressing the demands of mMTC requires efficient resource sharing among multiple users. Integrating Grant-Free (GF) access with Non-Orthogonal Multiple Access (NOMA) is a promising strategy to improve spectral efficiency. However, it may cause additional interference and complexity at the gNodeB (gNB) side. To mitigate these issues, we propose a novel, low-complexity GF-NOMA framework for joint power and channel allocation, where devices autonomously select their sub-carriers and power levels in a fully distributed manner. Besides, the gNB’s role is limited to sending a global feedback for device coordination. The proposed technique has been validated analytically and through simulation, demonstrating superior performance compared to existing approaches, in particular for the massive access scenario.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
LoCoNOMA:大规模 MTC 的无赠款资源分配
大规模机器类通信(mMTC)是第五代无线网络(5G)面临的一项重大挑战,由于频谱有限,它在第六代无线网络(6G)中变得越来越重要。要满足 mMTC 的需求,就必须在多个用户之间实现高效的资源共享。将无赠送(GF)接入与非正交多址接入(NOMA)相结合是一种很有前途的提高频谱效率的策略。然而,这可能会在 gNodeB(gNB)端造成额外的干扰和复杂性。为了缓解这些问题,我们提出了一种新颖、低复杂度的 GF-NOMA 框架,用于联合功率和信道分配,其中设备以完全分布式的方式自主选择子载波和功率水平。此外,gNB 的作用仅限于为设备协调发送全局反馈。所提出的技术已通过分析和仿真进行了验证,与现有方法相比,尤其是在大规模接入场景下,表现出了卓越的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Computer Networks
Computer Networks 工程技术-电信学
CiteScore
10.80
自引率
3.60%
发文量
434
审稿时长
8.6 months
期刊介绍: Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.
期刊最新文献
Editorial Board Optimizing spectrum and energy efficiency in IRS-enabled UAV-ground communications Zoom-inRCL: Fine-grained root cause localization for B5G/6G network slicing FastDet: Providing faster deterministic transmission for time-sensitive flows in WAN 3GPP-compliant single-user MIMO model for high-fidelity mobile network simulations
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1