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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sahin, Gokhan |
| Copyright Year | 2009 |
| Abstract | Opportunistic scheduling and rate-adaptation mechanisms exploit the variations in the channel states experienced by different users through the allocation of resources to users with better channel quality. Opportunistic scheduling has been considered in various contexts, typically with the assumption that rate adaptation and channel reassignment can be implemented with no delay, based on the instantaneous channel state information. This paper considers opportunistic predictive resource allocation in a multi-user rate-adaptive relay system with reconfiguration delays. Specifically, we consider a deterministic predictive scheduling problem in which any change in the channel rate or assignment induces an arbitrary reconfiguration penalty, Delta. We show that the off-line version of this problem is NP-hard, and then present an off-line approximation algorithm, which is shown to be Delta-competitive. We then provide a polynomial-complexity optimal solution for throughput maximization for the offline single-user rate adaptation problem. Finally, we present a family of online algorithms to solve the online version of the multi-user problem. These algorithms, which are amenable to distributed implementation, involve solving a set of small mixed-integer linear programs (MILPs) in parallel. We also discuss the impact of the reconfiguration penalty Delta and the look-ahead on the performance, where look-ahead is defined as the time horizon over which the channel state estimates are available. |
| Starting Page | 517 |
| Ending Page | 522 |
| File Size | 243836 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769536606 |
| ISSN | 15450678 |
| DOI | 10.1109/ICDCSW.2009.86 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-22 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Relays Delay Processor scheduling Throughput Resource management State estimation Channel state information Approximation algorithms Polynomials Power system relaying switching overhead predictive scheduling opportunistic scheduling wireless relay rate adaptation throughput optimization online scheduling channel-aware scheduling multi-channel transmission reconfiguration delay |
| Content Type | Text |
| Resource Type | Article |
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