- Title
- Achievable rates and optimal schedules for half duplex multiple-relay networks
- Creator
- Ong, Lawrence; Wang, Wei; Motani, Mehul
- Relation
- 46th Annual Allerton Conference on Communication, Control, and Computing, 2008. Proceedings of the Forty-Sixth Annual Allerton Conference on Communication, Control, and Computing, 2008 (Urbana-Champaign, IL 23-26 September, 2008) p. 1317-1324
- Publisher Link
- http://dx.doi.org/10.1109/ALLERTON.2008.4797713
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2008
- Description
- We study the half duplex multiple-relay channel (MRC) where every node can either transmit or listen but not both at the same time. We derive a capacity upper bound based on a max-flow min-cut argument and achievable transmission rates based on the decode-forward coding strategy (DF), for both the half duplex discrete memoryless MRC and the half duplex phase fading Gaussian MRC. The upper bound and achievable rates are functions of the transmit state vector (a description of which nodes transmit and which receive). More precisely, they are functions of the time fraction of different transmit state vectors, which we term a schedule. We formulate the optimal scheduling problem as a max-min optimization to find the schedule that maximizes the DF rate for the half duplex MRC. We use a technique based on minimax hypothesis testing to solve this problem and demonstrate it on a four-node MRC, getting closed form solutions in certain scenarios. For the phase fading Gaussian channel, surprisingly, we discover that optimal schedules can be solved using linear programming.
- Subject
- Gaussian channels; channel capacity; channel coding; fading channels; linear programming
- Identifier
- http://hdl.handle.net/1959.13/921517
- Identifier
- uon:9332
- Identifier
- ISBN:9781424429257
- Rights
- Copyright © 2008 IEEE. Reprinted from the Proceedings of the 46th Annual Allerton Conference on Communication, Control, and Computing, 2008. 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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