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Achieving Net Feedback Gain in the Linear-Deterministic Butterfly Network with a Full-Duplex Relay

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Book cover Information Theory, Combinatorics, and Search Theory

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7777))

Abstract

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.

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Chaaban, A., Sezgin, A., Tuninetti, D. (2013). Achieving Net Feedback Gain in the Linear-Deterministic Butterfly Network with a Full-Duplex Relay. In: Aydinian, H., Cicalese, F., Deppe, C. (eds) Information Theory, Combinatorics, and Search Theory. Lecture Notes in Computer Science, vol 7777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36899-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-36899-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36898-1

  • Online ISBN: 978-3-642-36899-8

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