Title :
Compress-and-Forward Scheme for Relay Networks: Backword Decoding and Connection to Bisubmodular Flows
Author :
Raja, Adnan ; Viswanath, Pramod
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Champaign, IL, USA
Abstract :
In this paper, a compress-and-forward scheme with backward decoding is presented for the unicast wireless relay network. The encoding at the source and relay is a generalization of the noisy network coding (NNC) scheme. While it achieves the same reliable data rate as NNC scheme, the backward decoding allows for a better decoding complexity as compared with the joint decoding of the NNC scheme. Characterizing the layered decoding scheme is shown to be equivalent to characterizing an information flow for the wireless network. A node-flow for a graph with bisubmodular capacity constraints is presented and a max-flow min-cut theorem is presented. This generalizes many well-known results of flows over capacity constrained graphs studied in computer science literature. The results for the unicast relay network are generalized to the network with multiple sources with independent messages intended for a single destination.
Keywords :
decoding; graph theory; network coding; relay networks (telecommunication); NNC scheme; backword decoding; bisubmodular capacity constraints; bisubmodular flows connection; capacity constrained graphs; compress-and-forward scheme; data rate; decoding complexity; graph theory; information flow; joint decoding; maxflow min cut theorem; node flow; noisy network coding; relay networks; unicast wireless relay network; wireless network; Encoding; Maximum likelihood decoding; Noise measurement; Relay networks (telecommunications); Vectors; Wireless communication; bisubmodular flows; capacity; max flow min-cut; relay networks;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2014.2334328