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Massive MIMO and small cells: Improving energy efficiency by optimal soft-cell coordination
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. Alcatel-Lucent Department on Flexible Radio, SUPELEC, Gif-sur-Yvette, France .
2013 (English)In: 2013 20th International Conference on Telecommunications, ICT 2013, IEEE Computer Society, 2013, 6632074- p.Conference paper (Refereed)
Abstract [en]

To improve the cellular energy efficiency, without sacrificing quality-of-service (QoS) at the users, the network topology must be densified to enable higher spatial reuse. We analyze a combination of two densification approaches, namely "massive" multiple-input multiple-output (MIMO) base stations and small-cell access points. If the latter are operator-deployed, a spatial soft-cell approach can be taken where the multiple transmitters serve the users by joint non-coherent multiflow beamforming. We minimize the total power consumption (both dynamic emitted power and static hardware power) while satisfying QoS constraints. This problem is proved to have a hidden convexity that enables efficient solution algorithms. Interestingly, the optimal solution promotes exclusive assignment of users to transmitters. Furthermore, we provide promising simulation results showing how the total power consumption can be greatly improved by combining massive MIMO and small cells; this is possible with both optimal and low-complexity beamforming.

Place, publisher, year, edition, pages
IEEE Computer Society, 2013. 6632074- p.
Keyword [en]
Beamforming, Cells, Cytology, Electric network topology, Energy efficiency, MIMO systems, Optimization, Quality of service, Transmitters, Access points, Hidden convexities, Multiple transmitters, Network topology, Optimal solutions, QoS constraints, Solution algorithms, Total power consumption, Information technology
National Category
URN: urn:nbn:se:kth:diva-147274DOI: 10.1109/ICTEL.2013.6632074ScopusID: 2-s2.0-84899011903ISBN: 978-1-4673-6425-6OAI: diva2:729814
2013 20th International Conference on Telecommunications, ICT 2013; Casablanca; Morocco; 6 May 2013 through 8 May 2013

QC 20140626

Available from: 2014-06-26 Created: 2014-06-25 Last updated: 2014-06-26Bibliographically approved

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Björnson, Emil
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Signal ProcessingACCESS Linnaeus Centre

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