DocumentCode :
1401265
Title :
Link supportability analysis of digital channelised satellite communication system using min-max optimisation and variable neighbourhood search algorithm
Author :
Yang, Zengli ; Cao, Zhichao ; Liu, Hongying
Author_Institution :
Electron. Eng. Dept., Tsinghua Univ., Beijing, China
Volume :
4
Issue :
18
fYear :
2010
Firstpage :
2145
Lastpage :
2154
Abstract :
In a frequency-division multiple access satellite communication (SATCOM) system, how to effectively reduce the non-linearity of high-power amplifier to improve the transponder power utility and system capacity, which is the key goal of link supportability analysis, is a challenging and essential step in system design. In this study, the authors creatively model the link supportability analysis problem as a min-max optimisation for a digital channelised SATCOM system, and propose an effective variable neighbourhood search (VNS) algorithm for the established optimisation. By minimising the maximum of carrier powers output from the satellite transponder, the established min-max optimisation model aims at reducing the difference among carrier powers in the satellite transponder as much as possible to avoid carrier power being irregular so that the authors can optimally set the transponder´s operating point to improve the transponder power utility, and minimise each terminal´s uplink effective isotropic radiated power (EIRP) so that as many links as possible could be supported in the system and thus the system capacity could be enhanced. Practical examples are also presented to verify the proposed approach´s superior performance in improving a digital channelised SATCOM system´s transponder power utility and the system capacity.
Keywords :
frequency division multiple access; minimisation; satellite communication; search problems; transponders; FDMA; digital channelised SATCOM; frequency division multiple access; link supportability analysis; min-max optimisation; satellite communication; satellite transponder; variable neighbourhood search algorithm;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2010.0024
Filename :
5664819
Link To Document :
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