DocumentCode
616152
Title
Graph theory based channel reallocation technique in channel borrowing in mobile satellite communication
Author
Lingzhi Guo ; Qimei Cui ; Yinjun Liu ; Xiangling Li ; Ting Fu ; Zhuo Chen
Author_Institution
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2013
fDate
7-10 April 2013
Firstpage
2172
Lastpage
2177
Abstract
In mobile satellite service (MSS) system, channel using efficiency is still an important factor because the system´s frequency reuse factor can´t reach 1 exactly. Here we try to introduce channel borrowing technique into MSS system. In channel borrowing technique, if channels in adjacent cells are allocated, these channels can´t be borrowed. Therefore, in high spectrum reuse scenario, this may result in insufficient borrowable channels because only when none of the adjacent cells is using this channel can this channel be borrowed. In this paper, we propose a channel reallocation scheme based on matching theory in graph theory to solve this problem by lowering the interference level. Further, we put forward a simplified channel reallocation scheme to reduce the computational complexity. As the simulation results show, our schemes can efficiently improve the system´s performance.
Keywords
channel allocation; computational complexity; frequency allocation; graph theory; mobile satellite communication; channel borrowing; channel reallocation; computational complexity; frequency reuse factor; graph theory; interference level; matching theory; mobile satellite communication; spectrum reuse scenario; Bipartite graph; Equations; Interference; Mathematical model; Mobile communication; Satellites; MSS; channel borrowing; channel reallocation; graph theory; optimal matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location
Shanghai
ISSN
1525-3511
Print_ISBN
978-1-4673-5938-2
Electronic_ISBN
1525-3511
Type
conf
DOI
10.1109/WCNC.2013.6554899
Filename
6554899
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