DocumentCode :
739204
Title :
Causal Relay Networks
Author :
Baik, Ihn-Jung ; Chung, Sae-Young
Author_Institution :
, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
Volume :
61
Issue :
10
fYear :
2015
Firstpage :
5432
Lastpage :
5440
Abstract :
In this paper, we study causal discrete memoryless relay networks. The network consists of multiple nodes, each of which can be a source, a relay, and/or a destination. In the network, there are two types of relays: 1) relays with one sample delay (strictly causal) and 2) relays without delay (causal) whose transmit signals depend not only on the past received symbols but also on the current received symbols. For this network, we derive two new cut-set bounds, one when every node has a message and the other when only the strictly causal relays have messages. Using the examples of a causal vector Gaussian two-way relay channel and a causal vector Gaussian relay channel, we show that the new cut-set bounds can be achieved by a simple amplify-and-forward type relaying. Our result for the causal relay channel strengthens the previously known capacity result for the same channel by El Gamal, Hassanpour, and Mammen.
Keywords :
Delays; Entropy; Joints; Markov processes; Probability distribution; Relay networks (telecommunications); Relay networks; amplify-and-forward; causal relay networks; cut-set bound; relays without delay;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2015.2461674
Filename :
7169571
Link To Document :
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