The Capacity Region of Multiway Relay Channels Over Finite Fields with Full Data Exchange
Lawrence Ong, Sarah J. Johnson, Christopher M. Kellett

TL;DR
This paper derives the capacity region for multi-way relay channels over finite fields, proposing a functional-decode-forward strategy that achieves capacity without feedback, applicable to various user rate configurations.
Contribution
The paper introduces a capacity-achieving coding strategy for multi-way relay channels over finite fields, extending understanding of optimal communication schemes in such networks.
Findings
Capacity region derived and characterized.
Functional-decode-forward achieves capacity.
Feedback does not increase capacity.
Abstract
The multi-way relay channel is a multicast network where L users exchange data through a relay. In this paper, the capacity region of a class of multi-way relay channels is derived, where the channel inputs and outputs take values over finite fields. The cut-set upper bound to the capacity region is derived and is shown to be achievable by our proposed functional-decode-forward coding strategy. More specifically, for the general case where the users can transmit at possibly different rates, functional-decode-forward, combined with rate splitting and joint source-channel decoding, is proved to achieve the capacity region; while for the case where all users transmit at a common rate, rate splitting and joint source-channel decoding are not required to achieve the capacity. That the capacity-achieving coding strategies do not utilize the users' received signals in the users' encoding…
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