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dc.contributor.authorPapazafeiropoulos, Anastasios
dc.contributor.authorKourtessis, Pandelis
dc.contributor.authorRenzo, Marco Di
dc.contributor.authorChatzinotas, Symeon
dc.contributor.authorSenior, John
dc.date.accessioned2020-02-21T01:08:05Z
dc.date.available2020-02-21T01:08:05Z
dc.date.issued2020-04
dc.identifier.citationPapazafeiropoulos , A , Kourtessis , P , Renzo , M D , Chatzinotas , S & Senior , J 2020 , ' Performance Analysis of Cell-Free Massive MIMO Systems: A Stochastic Geometry Approach ' , IEEE Transactions on Vehicular Technology , vol. 69 , no. 4 , 8972478 , pp. 3523-3537 . https://doi.org/10.1109/TVT.2020.2970018
dc.identifier.issn0018-9545
dc.identifier.otherORCID: /0000-0003-1841-6461/work/69424478
dc.identifier.otherORCID: /0000-0002-4881-560X/work/69424424
dc.identifier.urihttp://hdl.handle.net/2299/22328
dc.description© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractCell-free (CF) massive multiple-input-multiple-output (MIMO) has emerged as an alternative deployment for conventional cellular massive MIMO networks. As revealed by its name, this topology considers no cells, while a large number of multi-antenna access points (APs) serves simultaneously a smaller number of users over the same time/frequency resources through time-division duplex (TDD) operation. Prior works relied on the strong assumption (quite idealized) that the APs are uniformly distributed, and actually, this randomness was considered during the simulation and not in the analysis. However, in practice, ongoing and future networks become denser and increasingly irregular. Having this in mind, we consider that the AP locations are modeled by means of a Poisson point process (PPP) which is a more realistic model for the spatial randomness than a grid or uniform deployment. In particular, by virtue of stochastic geometry tools, we derive both the downlink coverage probability and achievable rate. Notably, this is the only work providing the coverage probability and shedding light on this aspect of CF massive MIMO systems. Focusing on the extraction of interesting insights, we consider small-cells (SCs) as a benchmark for comparison. Among the findings, CF massive MIMO systems achieve both higher coverage and rate with comparison to SCs due to the properties of favorable propagation, channel hardening, and interference suppression. Especially, we showed for both architectures that increasing the AP density results in a higher coverage which saturates after a certain value and increasing the number of users decreases the achievable rate but CF massive MIMO systems take advantage of the aforementioned properties, and thus, outperform SCs. In general, the performance gap between CF massive MIMO systems and SCs is enhanced by increasing the AP density. Another interesting observation concerns that a higher path-loss exponent decreases the rate while the users closer to the APs affect more the performance in terms of the rate.en
dc.format.extent15
dc.format.extent2298172
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Vehicular Technology
dc.subjectCell-free massive MIMO systems
dc.subjectachievable rate
dc.subjectcoverage probability
dc.subjectheterogeneous networks
dc.subjectstochastic geometry
dc.subjectAutomotive Engineering
dc.subjectAerospace Engineering
dc.subjectElectrical and Electronic Engineering
dc.subjectApplied Mathematics
dc.titlePerformance Analysis of Cell-Free Massive MIMO Systems: A Stochastic Geometry Approachen
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.contributor.institutionOptical Networks
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionOffice of the Vice-Chancellor
dc.contributor.institutionSPECS Deans Group
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85083820554&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1109/TVT.2020.2970018
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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