Systematic network coding with the aid of a full-duplex relay
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Author(s) • • • •
Giacaglia, Giuliano Pezzolo
Shi, Xiaomeng
Kim, MinJi
Lucani, Daniel Enrique
Medard, Muriel
Date Issued
June 2013
Journal
Proceedings of the 2013 IEEE International Conference on Communications (ICC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Giacaglia, Giuliano, Xiaomeng Shi, MinJi Kim, Daniel E. Lucani, and Muriel Medard. “Systematic Network Coding with the Aid of a Full-Duplex Relay.” 2013 IEEE International Conference on Communications (ICC) (June 2013).
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Author's final manuscript
Abstract
A characterization of systematic network coding over multi-hop wireless networks is key towards understanding the trade-off between complexity and delay performance of networks that preserve the systematic structure. This paper studies the case of a relay channel, where the source's objective is to deliver a given number of data packets to a receiver with the aid of a relay. The source broadcasts to both the receiver and the relay using one frequency, while the relay uses another frequency for transmissions to the receiver, allowing for a full-duplex operation of the relay. We analyze the decoding complexity and delay performance of two types of relays: one that preserves the systematic structure of the code from the source; another that does not. A systematic relay forwards uncoded packets upon reception, but transmits coded packets to the receiver after receiving the first coded packet from the source. On the other hand, a non-systematic relay always transmits linear combinations of previously received packets. We compare the performance of these two alternatives by analytically characterizing the expected transmission completion time as well as the number of uncoded packets forwarded by the relay. Our numerical results show that, for a poor channel between the source and the receiver, preserving the systematic structure at the relay (i) allows a significant increase in the number of uncoded packets received by the receiver, thus reducing the decoding complexity, and (ii) preserves close to optimal delay performance.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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DOI of Published Version
https://doi.org/10.1109/ICC.2013.6655057