- Title
- Myopic coding in multiterminal networks
- Creator
- Ong, Lawrence; Motani, Mehul
- Relation
- IEEE Transactions on Information Theory Vol. 54, Issue 7, p. 3295-3314
- Publisher Link
- http://dx.doi.org/10.1109/TIT.2008.924675
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- journal article
- Date
- 2008
- Description
- This correspondence investigates the interplay between cooperation and achievable rates in multiterminal networks. Cooperation refers to the process of nodes working together to relay data toward the destination. There is an inherent tradeoff between achievable information transmission rates and the level of cooperation, which is determined by how many nodes are involved and how the nodes encode/decode the data. We illustrate this tradeoff by studying information-theoretic decode-forward-based coding strategies for data transmission in multiterminal networks. Decode-forward strategies are usually discussed in the context of omniscient coding, in which all nodes in the network fully cooperate with each other, both in encoding and decoding. In this correspondence, we investigate myopic coding, in which each node cooperates with only a few neighboring nodes. We show that achievable rates of myopic decode-forward can be as large as that of omniscient decode-forward in the low signal-to-noise ratio (SNR) regime. We also show that when each node has only a few cooperating neighbors, adding one node into the cooperation increases the transmission rate significantly. Furthermore, we show that myopic decode-forward can achieve nonzero rates as the network size grows without bound.
- Subject
- achievable rates; decode–forward; multiple-relay channel; multiterminal network; myopic coding
- Identifier
- http://hdl.handle.net/1959.13/921552
- Identifier
- uon:9336
- Identifier
- ISSN:0018-9448
- Rights
- Copyright © 2008 IEEE. Reprinted from IEEE Transactions on Information Theory. 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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