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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Karmokar, A.K. Djonin, D.V. Bhargava, V.K. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada (Karmokar, A.K.; Djonin, D.V.; Bhargava, V.K.) |
| Abstract | We present a general Markov decision process based framework for the identification of optimal delay-constrained rate adaptation for MQAM systems and power adaptation for type-I hybrid ARQ systems. This framework can be applied to adaptive resource allocation over correlated fading channels. It is shown that the optimal rate and power control can be obtained by solving the appropriately formulated Markov decision processes using linear programming techniques. In the case of adaptive MQAM systems, the optimal rate allocation policy is dependent on the current buffer occupancy and the channel state. For hybrid ARQ systems the power control law can be formulated as being dependent on the current buffer occupancy and the history record of channel and action observations. The results of this paper are of importance for the development of modern wireless standards that support delay sensitive multimedia traffic. |
| Starting Page | 3448 |
| Ending Page | 3453 |
| File Size | 700606 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780387945 |
| DOI | 10.1109/GLOCOM.2004.1379007 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-11-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Delay Fading Automatic repeat request Power control Resource management Linear programming Adaptive systems History Wireless sensor networks Standards development |
| Content Type | Text |
| Resource Type | Article |
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