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Content Provider | IEEE Xplore Digital Library |
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Author | Jung-Chieh Chen Chao-Kai Wen Pangan Ting |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Optoelectron. & Comm. Eng., Nat. Kaohsiung Normal Univ., Kaohsiung (Jung-Chieh Chen) |
Abstract | This paper presents a low complexity algorithmic framework for finding a broadcasting schedule in a low-altitude satellite system, i.e., the satellite broadcast scheduling (SBS) problem, based on the recent modeling and computational methodology of factor graphs. Inspired by the huge success of the low density parity check (LDPC) codes in the field of error control coding, in this paper, we transform the SBS problem into an LDPC-like problem through a factor graph instead of using the conventional neural network approaches to solve the SBS problem. Based on a factor graph framework, the soft-information, describing the probability that each satellite will broadcast information to a terminal at a specific time slot, is exchanged among the local processing in the proposed framework via the sum-product algorithm to iteratively optimize the satellite broadcasting schedule. Numerical results show that the proposed approach not only can obtain optimal solution but also enjoys the low complexity suitable for integral-circuit implementation. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 137850 |
Page Count | 5 |
File Format | |
ISBN | 9781424417216 |
ISSN | 10903038 |
DOI | 10.1109/VETECF.2008.67 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-09-21 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Satellite broadcasting Satellites Scattering Silicon Schedules Sum product algorithm Artificial neural networks |
Content Type | Text |
Resource Type | Article |
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