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TRANSMISSION RATE CONTROL OVER RANDOMLY VARYING CHANNELS

Published online by Cambridge University Press:  01 January 2005

Gauresh Rajadhyaksha
Affiliation:
Department of Electrical and Computer Engineering, University of Texas, Austin, TX 78712, E-mail: [email protected]
Vivek S. Borkar
Affiliation:
School of Technology and Computer Science, Tata Institute of Fundamental Research, Mumbai 400005 India, E-mail: [email protected]

Abstract

The problem of controlling transmission rate over a randomly varying channel is cast as a Markov decision process wherein the channel is modeled as a Markov chain. The objective is to minimize a cost that penalizes both buffer occupancy (equivalently, delay) and power. The nature of the optimal policy is characterized using techniques adapted from classical inventory control.

Type
Research Article
Copyright
© 2005 Cambridge University Press

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References

REFERENCES

Berry, R.A. & Gallager, R.G. (2002). Communication over fading channels with delay constraints. IEEE Transactions on Information Theory 48(5): 11351149.Google Scholar
Bertsekas, D.P. (2001). Dynamic programming and optimal control, Vol. 1, 2nd ed. Belmont, MA: Athena Scientific.
Bertsekas, D.P. (2001). Dynamic programming and optimal control, Vol. 2, 2nd ed. Belmont, MA: Athena Scientific.
Goyal, M., Kumar, A., & Sharma, V. (2003). Power constrained and delay optimal policies for scheduling transmission over a fading channel. In INFOCOM 2003.
Hernandez-Lerma, O. & Lasserre, J.-B. (1996). Discrete-time Markov control processes. New York: Springer-Verlag.
Sundaram, R.K. (1996). A first course in optimization theory. Cambridge: Cambridge University Press.