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Cross layer implementation of a multi-user MIMO test-bed
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (Signal Processing)ORCID iD: 0000-0003-2298-6774
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2010 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes an implementation of a realtime multi-user multiple-input multiple-output (MU-MIMO) communication system, with cross-layer channel-aware scheduling. The system is implemented using software reconfigurable nodes that may be configured as either user terminals, or as base stations, communicating in the GSM 1800 uplink band. Three different commonly used scheduling algorithms (based on channel state information fed back by the receiver nodes) are studied and compared experimentally for three different signal to noise ratios in an indoor non line of sight environment. It is shown that channel-aware scheduling increases not only the system throughput, but also the fairness. Further, using the possibility of changing antenna polarization through software controlled switches, the multiuser gains may be increased even further, both in total throughput as well as fairness.

Place, publisher, year, edition, pages
2010. Vol. WCNC, p. 1-6
Keywords [en]
Channelaware Scheduling, Cross-layer, Cross-layer implementation, MU-MIMO, Multi-user, Multi-user MIMO, Multiple-input-multiple-output, Non-line-of-sight environments, Real time, Receiver nodes, Reconfigurable nodes, System throughput, User terminals, Adaptive antenna arrays, Antennas, Communication systems, Computer software, MIMO systems, Scheduling algorithms, Signal receivers, Signal to noise ratio, Wireless telecommunication systems, Wireless networks
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-35646DOI: 10.1109/WCNC.2010.5506396ISI: 000299203101085Scopus ID: 2-s2.0-77955014676ISBN: 978-142446398-5 (print)OAI: oai:DiVA.org:kth-35646DiVA, id: diva2:429597
Conference
IEEE Wireless Communications and Networking Conference 2010, WCNC 2010, Sydney, Australia, 18-21 April, 2010
Note

QC 20110705

Available from: 2011-07-05 Created: 2011-07-04 Last updated: 2022-06-24Bibliographically approved

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Ottersten, Björn

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