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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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Proceedings ArticleDOI

Capacity approaching codes for relay channels

TL;DR: In this paper, turbo-based coding scheme for relay systems together with iterative decoding algorithms is designed and the performance of the proposed schemes is about 1.0-1.5 dB away from the information theoretical limits for various channel models.
Journal ArticleDOI

A Soft Decode–Compress–Forward Relaying Scheme for Cooperative Wireless Networks

TL;DR: A new technique for soft information relaying, which is based on a soft decode-compress-forward relay protocol, which provides a means of using distributed low-density parity-check (LDPC) coding in conjunction with higher order modulation, such as pulse amplitude modulation (PAM) and quadrature amplitude modulation(QAM), which is effective even under poor source-relay link conditions.
Proceedings ArticleDOI

Cooperative Relaying with Imperfect Channel State Information

TL;DR: A suboptimum adaptive beamforming strategy is derived that maximizes a derived upper bound on the average system throughput and is shown that relay cooperation can significantly improve the overall system throughput.
Journal ArticleDOI

Relay Scheduling in the Half-Duplex Gaussian Parallel Relay Channel

TL;DR: It is proved that successive relaying, based on the DPC, asymptotically achieves the capacity of the network as well as the optimum scheduling of the relays.
Journal ArticleDOI

Uplink User-Assisted Relaying in Cellular Networks

TL;DR: It is shown that user-assisted relaying can significantly improve per-user transmission rate despite of increased intercell interference, and this transmission rate gain is significant for active users near the cell edge and further increases with higher idle user density, supporting user- assisted relaying as a viable solution to crowded population areas.
References
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Journal ArticleDOI

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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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