- Title
- Myopic coding in multiple relay channels
- Creator
- Ong, Lawrence; Motani, Mehul
- Relation
- IEEE International Symposium on Information Theory, 2005 (ISIT 2005). Proceedings of the IEEE International Symposium on Information Theory, ISIT 2005 (Adelaide, S.A. 4-9 September, 2005) p. 1091-1095
- Publisher Link
- http://dx.doi.org/10.1109/ISIT.2005.1523508
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2005
- Description
- In this paper, we investigate achievable rates for data transmission from sources to sinks through multiple relay networks. We consider myopic coding, a constrained communication strategy in which each node has only a local view of the network, meaning that nodes can only transmit to and decode from neighboring nodes. We compare this with omniscient coding, in which every node has a global view of the network and all nodes can cooperate. Using Gaussian channels as examples, we find that when the nodes transmit at low power, the rates achievable with two-hop myopic coding are as large as that under omniscient coding in a five-node multiple relay channel and close to that under omniscient coding in a six-node multiple relay channel. These results suggest that we may do local coding and cooperation without compromising much on the transmission rate. Practically, myopic coding schemes are more robust to topology changes because encoding and decoding at a node are not affected when there are changes at remote nodes. Furthermore, myopic coding mitigates the high computational complexity and large buffer/memory requirements of omniscient coding.
- Subject
- Gaussian channels; channel coding; computational complexity; data communication
- Identifier
- http://hdl.handle.net/1959.13/921537
- Identifier
- uon:9337
- Identifier
- ISBN:0780391519
- Rights
- Copyright © 2005 IEEE. Reprinted from Proceedings of the IEEE International Symposium on Information Theory, ISIT 2005. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Language
- eng
- Full Text
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