tailieunhanh - báo cáo hóa học:" Research Article An Optimal Adaptive Network Coding Scheme for Minimizing Decoding Delay in Broadcast "

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article An Optimal Adaptive Network Coding Scheme for Minimizing Decoding Delay in Broadcast | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID618016 14 pages doi 2010 618016 Research Article An Optimal Adaptive Network Coding Scheme for Minimizing Decoding Delay in Broadcast Erasure Channels Parastoo Sadeghi 1 Ramtin Shams 1 and Danail Traskov2 1 Research School of Information Sciences and Engineering The Australian National University Canberra ACT 0200 Australia 2 Institute for Communications Engineering Technische Universitat Munchen D-80290 Munchen Germany Correspondence should be addressed to Parastoo Sadeghi Received 31 August 2009 Accepted 3 March 2010 Academic Editor Heung-No Lee Copyright 2010 Parastoo Sadeghi et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. We are concerned with designing feedback-based adaptive network coding schemes with the aim of minimizing decoding delay in each transmission in packet-based erasure networks. We study systems where each packet brings new information to the destination regardless of its order and require the packets to be instantaneously decodable. We first formulate the decoding delay minimization problem as an integer linear program and then propose efficient algorithms for finding its optimal solution s . We show that our problem formulation is applicable to memoryless erasures as well as Gilbert-Elliott erasures with memory. We then propose a number of heuristic algorithms with worst case linear execution complexity that can be used when an optimal solution cannot be found in a reasonable time. We verify the delay and speed performance of our techniques through numerical analysis. This analysis reveals that by taking channel memory into account in network coding decisions one can considerably reduce decoding delays. 1. Introduction In this paper