Optimal adaptive modulation and coding with switching costs

Farrokh A, Krishnamurthy V, Schober R (2009)

Publication Type: Journal article

Publication year: 2009

Journal

IEEE Transactions on Communications Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 57

Pages Range: 697-706

Journal Issue: 3

DOI: 10.1109/TCOMM.2009.03.070115

Abstract

We present an optimal adaptive modulation and coding policy that minimizes the transmission latency and modulation/coding switching cost across a finite-state Markovian fading channel. We formulate the optimal tradeoff between transmission latency and modulation/coding switching cost as a discounted infinite horizon Markov Decision Problem (MDP). By exploiting special structures of the formulated MDP and under certain sufficient conditions, we show that optimal modulation and coding selection policies are monotone in the state variables. These monotone optimal policies are computationally inexpensive to implement and are scalable in terms of channel and switching cost parameters. Numerical results confirm the monotonicity and threshold-based structure of the optimal Modulation and Coding Scheme (MCS) selection policies under the proposed sufficient conditions. © 2009 IEEE.

Authors with CRIS profile

Robert Schober

Involved external institutions

University of British Columbia CA Canada (CA)

How to cite

APA:

Farrokh, A., Krishnamurthy, V., & Schober, R. (2009). Optimal adaptive modulation and coding with switching costs. IEEE Transactions on Communications, 57(3), 697-706. https://dx.doi.org/10.1109/TCOMM.2009.03.070115

MLA:

Farrokh, Arsalan, Vikram Krishnamurthy, and Robert Schober. "Optimal adaptive modulation and coding with switching costs." IEEE Transactions on Communications 57.3 (2009): 697-706.

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