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Guest Editorial Massive Access for 5G and Beyond-Part I
Zhejiang Univ, Peoples R China.
Univ New South Wales, Australia.
Univ Toronto, Canada.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
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2021 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 39, no 3, p. 611-614Article in journal, Editorial material (Other academic) Published
Abstract [en]

Massive access, also known as massive connectivity or massive machine-type communication (mMTC), is one of the main use cases of the fifth-generation (5G) and beyond 5G (B5G) wireless networks. In the past few years, it has received considerable attention in academia and industry. This Special Issue (SI) of the IEEE Journal on Selected Areas in Communications (JSAC) on Massive Access for 5G and Beyond contains the latest results of researchers, industry practitioners, and individuals working on related research problems. Due to the extremely high response to the Call for Papers, this SI is split into two parts. The first part includes a guest editor-authored survey paper and 17 technical papers focusing on access models and access protocols, while the second part contains 18 papers focusing on access techniques and coverage enhancement approaches. We sincerely thank the authors, reviewers, JSAC staffs, and the Senior Editor, Prof. Wayne Stark, for their effort and time in preparing this SI.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2021. Vol. 39, no 3, p. 611-614
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-174370DOI: 10.1109/JSAC.2020.3018975ISI: 000621403500001OAI: oai:DiVA.org:liu-174370DiVA, id: diva2:1538759
Note

Funding Agencies|Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61871344]; Zhejiang Provincial Natural Science Foundation of ChinaNatural Science Foundation of Zhejiang Province [LR20F010002]; National Science and Technology Major Project of China [2018ZX03001017-002]; UNSW Digital Grid Futures Institute, UNSW, Sydney; Australian Research Councils Discovery ProjectAustralian Research Council [DP190101363]

Available from: 2021-03-21 Created: 2021-03-21 Last updated: 2021-03-21

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