A symmetric butterfly network (BFN) with a full-duplex relay operating in a bi-directional fashion for feedback is considered. This network is relevant for a variety of wireless networks, including cellular systems dealing with cell-edge users. Upper bounds on the capacity region of the general memoryless BFN with feedback are derived based on cut-set and cooperation arguments and then specialized to the linear deterministic BFN with relay-source feedback. It is shown that the upper bounds are achievable using combinations of the compute-forward strategy and the classical decode-and-forward strategy, thus fully characterizing the capacity region. It is shown that net rate gains are possible in certain parameter regimes. © Springer-Verlag Berlin Heidelberg 2013.
CITATION STYLE
Chaaban, A., Sezgin, A., & Tuninetti, D. (2013). Achieving net feedback gain in the linear-deterministic butterfly network with a full-duplex relay. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7777, pp. 167–208). Springer Verlag. https://doi.org/10.1007/978-3-642-36899-8_7
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