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Capacity theorems for the relay channel

Thomas M. Cover, +1 more
- Vol. 80, pp 572-584
TLDR
An achievable lower bound to the capacity of the general relay channel is established and superposition block Markov encoding is used to show achievability of C, and converses are established.
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The article was published on 1979-09-01 and is currently open access. It has received 3918 citations till now. The article focuses on the topics: Relay channel & Channel capacity.

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Citations
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Journal ArticleDOI

Efficient Message Relaying for Wireless User Cooperation: Decode-Amplify-Forward (DAF) and Hybrid DAF and Coded-Cooperation

TL;DR: A hybrid scheme of DAF and coded cooperation (DAF-CC), implemented through simple time-sharing, and the information-theoretic achievable rates of these schemes are formulated for channels with binary inputs and Gaussian outputs are discussed.
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Opportunistic Cooperation in Cognitive Femtocell Networks

TL;DR: In this article, the authors investigate opportunistic cooperation between unlicensed secondary users and legacy primary users in a cognitive radio network, where a secondary user can cooperatively transmit with the primary user in order to improve the latter's effective transmission rate.
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On Design of Collaborative Beamforming for Two-Way Relay Networks

TL;DR: This paper studies the achievable rate region for an amplify-and-forward (AF)-based two-way relay network with collaborative beamforming and proposes the partially distributed algorithms to implement the optimal beamforming, where each relay node only needs the local channel information and one global parameter.
Journal ArticleDOI

The Amplify-and-Forward Half-Duplex Cooperative System: Pairwise Error Probability and Precoder Design

TL;DR: Simulations indicate that the proposed precoder designs greatly improve the performance of the cooperative system and are proposed a design of unitary precoder for the Cooperative system to achieve the full diversity gain function.
Journal ArticleDOI

Side information aware coding strategies for sensor networks

TL;DR: Coding strategies for estimation under communication constraints in tree-structured sensor networks are developed based on a generalization of Wyner-Ziv source coding with decoder side information, which promotes the flexibility, robustness, and scalability that wireless sensor networks need to operate in uncertain, changing, and resource-constrained environments.
References
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