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Multi-User Detection in Multibeam Mobile Satellite Systems: A Fair Performance Evaluation
SnT - Security and, University of Luxembourg, Luxembourg .ORCID iD: 0000-0003-2298-6774
2013 (English)In: 2013 IEEE 77th Vehicular Technology Conference: (VTC Spring), 2013Conference paper (Refereed)
Abstract [en]

Multi-User Detection (MUD) techniques are currently being examined as promising technologies for the next generation of broadband, interactive, multibeam satellite communication (SatCom) systems. Results in the existing literature have shown that when full frequency and polarization reuse is employed and user signals are jointly processed at the gateway, more than threefold gains in terms of spectral efficiency over conventional systems can be obtained. However, the information theoretic results for the capacity of the multibeam satellite channel are given under ideal assumptions, disregarding the implementation constraints of such an approach. Considering a real system implementation, the adoption of full resource reuse is bound to increase the payload complexity and power consumption. Since these novel techniques require extra payload resources, fairness issues in the comparison among the two approaches arise. The present contribution evaluates in a fair manner, the performance of the return link (RL) of a SatCom system serving mobile users that are jointly decoded at the receiver. In this context, the throughput performance of the assumed system is compared to that of a conventional one, under the constraint of equal physical layer resource utilization; thus the comparison can be regarded as fair. Results show, that even when systems operate under the same payload requirements as the conventional systems, a significant gain can be realized, especially in the high SNR region. Finally, existing analytical formulas are also employed to provide closed form descriptions of the performance of clustered systems, thus introducing insights on how the performance scales with respect to the system parameters.

Place, publisher, year, edition, pages
, IEEE Vehicular Technology Conference Proceedings, ISSN 1550-2252
Keyword [en]
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-139000DOI: 10.1109/VTCSpring.2013.6692647ISI: 000331081500270ScopusID: 2-s2.0-84893551380ISBN: 978-1-4673-6337-2OAI: diva2:682136
2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013; Dresden, Germany, 2-5 June, 2013

QC 20140306

Available from: 2013-12-23 Created: 2013-12-23 Last updated: 2014-03-06Bibliographically approved

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Ottersten, Björn
Signal Processing

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