Massive Mimo Systems for 5g: a Systematic Mapping Study on Antenna Design Challenges and Channel Estimation Open Issues

dc.contributor.author Benzaghta, Mohamed
dc.contributor.author Rabie, Khaled M.
dc.date.accessioned 2024-07-05T15:21:25Z
dc.date.available 2024-07-05T15:21:25Z
dc.date.issued 2021
dc.description Benzaghta, Mohamed/0000-0002-9927-1649; Rabie, Khaled/0000-0002-9784-3703 en_US
dc.description.abstract The next generation of mobile networks (5G) is expected to achieve high data rates, reduce latency, as well as improve the spectral and energy efficiency of wireless communication systems. Several technologies are being explored to be used in 5G systems. One of the main promising technologies that is seen to be the enabler of 5G is massive multiple-input multiple-output (mMIMO) systems. Numerous studies have indicated the utility of mMIMO in upcoming wireless networks. However, there are several challenges that needs to be unravelled. In this paper, the latest progress of research on challenges in mMIMO systems is tracked, in the context of mutual coupling, antenna selection, pilot contamination and feedback overhead. The results of a systematic mapping study performed on 63 selected primary studies, published between the year 2017 till the second quarter of 2020, are presented. The main objective of this secondary study is to identify the challenges regarding antenna design and channel estimation, give an overview on the state-of-the-art solutions proposed in the literature, and finally, discuss emerging open research issues that need to be considered before the implementation of mMIMO systems in 5G networks. en_US
dc.identifier.doi 10.1049/cmu2.12180
dc.identifier.issn 1751-8628
dc.identifier.issn 1751-8636
dc.identifier.scopus 2-s2.0-85103403334
dc.identifier.uri https://doi.org/10.1049/cmu2.12180
dc.identifier.uri https://hdl.handle.net/20.500.14411/2081
dc.language.iso en en_US
dc.publisher inst Engineering Technology-iet en_US
dc.relation.ispartof IET Communications
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject [No Keyword Available] en_US
dc.title Massive Mimo Systems for 5g: a Systematic Mapping Study on Antenna Design Challenges and Channel Estimation Open Issues en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Benzaghta, Mohamed/0000-0002-9927-1649
gdc.author.id Rabie, Khaled/0000-0002-9784-3703
gdc.author.scopusid 57218263407
gdc.author.scopusid 55884933100
gdc.author.wosid Benzaghta, Mohamed/AAW-6588-2020
gdc.author.wosid Rabie, Khaled/S-6247-2017
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Benzaghta, Mohamed] Atilim Univ, Dept Elect & Elect Engn, TR-06830 Ankara, Turkey; [Rabie, Khaled M.] Manchester Metropolitan Univ, Sch Engn, Manchester, Lancs, England en_US
gdc.description.endpage 1690 en_US
gdc.description.issue 13 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 1677 en_US
gdc.description.volume 15 en_US
gdc.description.wosquality Q3
gdc.identifier.openalex W3150982663
gdc.identifier.wos WOS:000636124900001
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 25.0
gdc.oaire.influence 5.1068403E-9
gdc.oaire.isgreen true
gdc.oaire.keywords 0906 Electrical and Electronic Engineering
gdc.oaire.keywords 0102 Applied Mathematics
gdc.oaire.keywords Communication channel equalisation and identification
gdc.oaire.keywords 1005 Communications Technologies
gdc.oaire.keywords Telecommunication
gdc.oaire.keywords Mobile radio systems
gdc.oaire.keywords Antenna arrays
gdc.oaire.keywords TK5101-6720
gdc.oaire.keywords Networking & Telecommunications
gdc.oaire.popularity 2.5731433E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
gdc.openalex.fwci 2.75044269
gdc.openalex.normalizedpercentile 0.92
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 23
gdc.plumx.crossrefcites 29
gdc.plumx.mendeley 28
gdc.plumx.scopuscites 36
gdc.scopus.citedcount 36
gdc.wos.citedcount 29
relation.isOrgUnitOfPublication 50be38c5-40c4-4d5f-b8e6-463e9514c6dd
relation.isOrgUnitOfPublication.latestForDiscovery 50be38c5-40c4-4d5f-b8e6-463e9514c6dd

Files

Collections