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Structural Results on the Optimal Transmission Scheduling Policies and Costs for Correlated Sources and Channels

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2 Author(s)
Djonin, D.V. ; Department of Electrical and Computer Engineering, 2356 Main Mall, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada, ddjonin@ece.ubc.ca ; Krishnamurthy, V.

The problem of transmission adaptation over a correlated time-varying wireless channel is formulated as a Constrained Markov Decision Process. The model includes a transmission buffer and finite state Markov model for time-varying radio channel and incoming traffic. This crosslayer optimization problem is formulated as to minimize the transmission cost (e.g. power or bit-error-rate) under the constraint on a buffer cost such as the transmission delay. Under the assumptions on submodularity and convexity of the cost function it is shown that the optimal randomized policy is monotonically increasing with the increase of the buffer state.

Published in:

Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on

Date of Conference:

12-15 Dec. 2005