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Cell-Free Massive MIMO in Virtualized CRAN: How to Minimize the Total Network Power?
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0001-9059-2799
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-4006-5848
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS. Linköping Univ, Dept Elect Engn, Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-0525-4491
2022 (English)In: Ieee International Conference On Communications (Icc 2022), Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 159-164Conference paper, Published paper (Refereed)
Abstract [en]

Previous works on cell-free massive MIMO mostly consider physical-layer and fronthaul transport aspects. How to deploy cell-free massive MIMO functionality in a practical wireless system is an open problem. This paper proposes a new cell-free architecture that can be implemented on top of a virtualized cloud radio access network (V-CRAN). We aim to minimize the end-to-end power consumption by jointly considering the radio, optical fronthaul, virtualized cloud processing resources, and spectral efficiency requirements of the user equipments. The considered optimization problem is cast in a mixed binary second-order cone programming form and, thus, the global optimum can be found using a branch-and-bound algorithm. The optimal power-efficient solution of our proposed cell-free system is compared with conventional small-cell implemented using V-CRAN, to determine the benefits of cell-free networking. The numerical results demonstrate that cell-free massive MIMO increases the maximum rate substantially, which can be provided with almost the same energy per bit. We show that it is more power-efficient to activate cell-free massive MIMO already at low spectral efficiencies (above 1 bit/s/Hz).

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. p. 159-164
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keywords [en]
Cell-free massive MIMO, virtualized CRAN, network virtualization, fronthaul transport
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-322299DOI: 10.1109/ICC45855.2022.9838846ISI: 000864709900027Scopus ID: 2-s2.0-85132176582OAI: oai:DiVA.org:kth-322299DiVA, id: diva2:1718216
Conference
IEEE International Conference on Communications (ICC), MAY 16-20, 2022, Seoul, SOUTH KOREA
Note

Part of proceedings: ISBN 978-1-5386-8347-7

QC 20221212

Available from: 2022-12-12 Created: 2022-12-12 Last updated: 2022-12-15Bibliographically approved

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Demir, Ozlem TugfeMasoudi, MeysamBjörnson, EmilCavdar, Cicek

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