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Decentralized dynamic channel allocation for MIMO systems
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.ORCID iD: 0000-0002-3599-5584
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
2007 (English)In: CONFERENCE RECORD OF THE FORTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, NEW YORK: IEEE , 2007, 1689-1693 p.Conference paper, Published paper (Refereed)
Abstract [en]

A common scenario in wireless communication systems is one where several systems coexist in the same area and communicate using the same portion of the spectrum, possibly even using different radio interfaces. Herein, we consider non-cooperative spectrum sharing rules for decentralized iterative dynamic channel allocation, based on utility functions, for multi-user systems with multiple antennas at both transmitters and receivers. Using the link rate as a utility function often leads to a suboptimal high-interference situation. The key to obtaining good separation over the scheduling slots, leading to higher spectral utilization, is a proper choice of utility function for the users. To obtain a decentralized scheduler with these desired properties, we introduce the idea of modifying the utility function and investigate its affect on the sum rate. A numerical example illustrates the performance compared to a scheduler employing the link rate as utility function.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2007. 1689-1693 p.
Keyword [en]
wireless communication systems, non-cooperative spectrum sharing, scheduler, multi-user systems, suboptimal high-interference situation
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-34921DOI: 10.1109/ACSSC.2007.4487520ISI: 000257172901062Scopus ID: 2-s2.0-50249110627ISBN: 978-1-4244-2109-1 (print)OAI: oai:DiVA.org:kth-34921DiVA: diva2:428773
Conference
41st Asilomar Conference on Signals, Systems and Computers Pacific Grove, CA, NOV 04-07, 2007
Note
QC 20110701Available from: 2011-07-01 Created: 2011-06-17 Last updated: 2012-01-23Bibliographically approved

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Bengtsson, MatsOttersten, Björn

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