Published August 2010 | Version Published
Book Section - Chapter Open

Multi-source operator channels: Efficient capacity-achieving codes

  • 1. ROR icon Tsinghua University
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Chinese University of Hong Kong

Abstract

The network communication scenario where one or more receivers request all the information transmitted by different sources is considered. We introduce the first polynomial-time (in network size) network codes that achieve any point inside the rate-region for the problem of multiple-source multicast in the presence of malicious errors, for any fixed number of sources. Our codes are fully distributed and different sources require no knowledge of the data transmitted by their peers. Our codes are "end-to-end", that is, all nodes apart from the sources and the receivers are oblivious to the adversaries present in the network and simply implement random linear network coding.

Additional Information

© 2010 IEEE. The work of Hongyi Yao was supported by National Natural Science Foundation of China Grant 60553001, the National Basic Research Program of China Grant 2007CB807900 and 2007CB807901. The work of Theodoros K. Dikaliotis and Tracey Ho was supported by NSF grant CNS-0905615. The work of Sidharth Jaggi was supported by RGC GRF grants 412608, 411008, and 411209, a grant from the University Grants Committee of the Hong Kong Special Administrative Region, China (Project No. AoE/E-02/08), CUHK MoE-Microsoft Key Laboratory of Humancentric Computing and Interface Technologies, and a gift grant from Cisco.

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Identifiers

Eprint ID
75115
Resolver ID
CaltechAUTHORS:20170314-152947986

Funding

National Natural Science Foundation of China
60553001
National Basic Research Program of China
2007CB807900
National Basic Research Program of China
2007CB807901
NSF
CNS-0905615
Research Grants Council of Hong Kong
412608
Research Grants Council of Hong Kong
411008
Research Grants Council of Hong Kong
411209
Research Grants Council of Hong Kong
AoE/E-02/08
CUHK MoE-Microsoft Key Laboratory of Humancentric Computing and Interface Technologies
Cisco

Dates

Created
2017-03-16
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Updated
2021-11-15
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