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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

Decentralized Learning-Based Relay Assignment for Cooperative Communications

TL;DR: This paper gives source nodes self-optimizing and self-learning abilities and enables them to autonomously select relay nodes in cooperative networks, and evaluates the performance of DLRA in two different network systems: a cooperative ad hoc network and a Long-Term Evolution-Advanced relay network.
Journal ArticleDOI

On Instantaneous Relaying

TL;DR: It is illustrated that the proposed PL relaying scheme can improve on sophisticated block Markov encoding when the source-relay link is ill-conditioned (relative to other links) and can work at rates close to those achieved by side-information encoding, but at a much lower complexity.
Proceedings ArticleDOI

Optimizing Downlink Throughput with User Cooperation and Scheduling in Adaptive Cellular Networks

TL;DR: This work considers the downlink throughput optimization for an adaptive cellular network with both user cooperation and scheduling and shows that multiple relays can actually be supported in different timeslots concurrently with other transmissions through scheduling and the corresponding optimal relays selection and power allocation are derived.
Journal ArticleDOI

Cooperative Schemes for a Source and an Occasional Nearby Relay in Wireless Networks

TL;DR: A wireless network is considered where a source is communicating with a remote destination, and where a relay terminal is occasionally present in close proximity to the source but without the source's knowledge.
Posted Content

Interference Channels with One Cognitive Transmitter

Yi Cao, +1 more
TL;DR: In this article, the capacity region of interference channels with one cognitive transmitter (ICOCT) where "cognitive" is defined from both the noncausal and causal perspectives is investigated.
References
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Noiseless coding of correlated information sources

TL;DR: The minimum number of bits per character R_X and R_Y needed to encode these sequences so that they can be faithfully reproduced under a variety of assumptions regarding the encoders and decoders is determined.
Journal ArticleDOI

Three-terminal communication channels

TL;DR: A coding theorem and weak converse are proved and a necessary and sufficient condition for a positive capacity is derived and upper and lower bounds on the capacity are obtained, which coincide for channels with symmetric structure.
Journal ArticleDOI

Source coding with side information and a converse for degraded broadcast channels

TL;DR: In Section H of the paper, a characterization of the capacity region for degraded broadcast channels (DBC's) is given, which was conjectured by Bergmans and is somewhat sharper than the one obtained by Gallager.
Journal ArticleDOI

A proof of the data compression theorem of Slepian and Wolf for ergodic sources (Corresp.)

TL;DR: It is established that the Slepian-Wolf theorem is true without change for arbitrary ergodic processes \{(X_i,Y_i)\}_{i=1}^{\infty} and countably infinite alphabets.
Journal ArticleDOI

On source coding with side information at the decoder

TL;DR: The characterization of the family of rate triples (R_0,R_1, R_2) for which this system can deliver essentially perfect reproductions of X and Y and the principal result is a characterization of this family via an information-theoretic minimization.
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