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Energy-efficient MMSE beamforming and power allocation in multibeam satellite systems
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
2011 (English)In: Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on, 2011, 1081-1085 p.Conference paper (Refereed)
Abstract [en]

In current satellite communication systems, energy efficiency is of paramount importance since it strongly affects the satellite size and lifetime. In this paper, the energy efficiency of a multibeam downlink system is investigated in terms of maximizing the ratio of system throughput over consumed power. More specifically, the consumed power comprises both operating power which is needed for running the network equipment and transmit power which is needed for forwarding the information to the end users. Regarding the employed transmission technique, Minimum Mean Square Error (MMSE) beamforming together with power optimization for satellite downlink channel is used while full frequency reuse is assumed. By varying the ratio of operating and transmit power, we study the performance of the forward link in terms of spectral and energy efficiency.

Place, publisher, year, edition, pages
2011. 1081-1085 p.
Keyword [en]
array signal processing, frequency allocation, least mean squares methods, satellite communication, MMSE beamforming, energy efficiency, frequency reuse, multibeam downlink system, multibeam satellite systems, network equipment, power allocation, power optimization, satellite communication systems, satellite downlink channel, satellite size, spectral efficiency, system throughput, transmit power, Array signal processing, Interference, Satellite broadcasting, Satellites, Signal to noise ratio, Throughput, Vectors
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-120189DOI: 10.1109/ACSSC.2011.6190179ScopusID: 2-s2.0-84861314077OAI: diva2:613770
Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011

QC 20130524

Available from: 2013-04-02 Created: 2013-04-02 Last updated: 2013-05-24Bibliographically approved

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Ottersten, Björn
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Signal ProcessingACCESS Linnaeus Centre
Signal Processing

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