Massive Access for 5G and BeyondShow others and affiliations
2021 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 39, no 3, p. 615-637Article in journal (Refereed) 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. A typical application of massive access is the cellular Internet of Things (IoT). Different from conventional human-type communication, massive access aims at realizing efficient and reliable communications for a massive number of IoT devices. Hence, the main characteristics of massive access include low power, massive connectivity, and broad coverage, which require new concepts, theories, and paradigms for the design of next-generation cellular networks. This paper presents a comprehensive survey of massive access design for B5G wireless networks. Specifically, we provide a detailed review of massive access from the perspectives of theory, protocols, techniques, coverage, energy, and security. Furthermore, several future research directions and challenges are identified.
Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2021. Vol. 39, no 3, p. 615-637
Keywords [en]
5G mobile communication; Communication system security; Wireless networks; Internet of Things; Reliability; Cellular networks; B5G; massive access; cellular IoT; low power; massive connectivity; broad coverage
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-174371DOI: 10.1109/JSAC.2020.3019724ISI: 000621403500002OAI: oai:DiVA.org:liu-174371DiVA, id: diva2:1538760
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]
2021-03-212021-03-212021-03-21