Optimal adaptive modulation and coding with switching costs

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...

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Veröffentlicht in:IEEE transactions on communications Jg. 57; H. 3; S. 697 - 706
Hauptverfasser: Farrokh, A., Krishnamurthy, V., Schober, R.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.03.2009
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Adaptive modulation and coding
Applied sciences
Coding
Coding, codes
Cost function
Costs
Delay
Exact sciences and technology
Fading
Infinite horizon
Information, signal and communications theory
Markov decision problem (MDP)
Mathematical analysis
Mathematical models
Mobile agents
Modulation
modulation and coding scheme (MCS)
Modulation coding
Modulation, demodulation
opportunistic selection
Optimization
Policies
Quadrature amplitude modulation
Quality of service
Signal and communications theory
Sufficient conditions
Switching
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
threshold-based ordering
Transmission and modulation (techniques and equipments)
Wireless sensor networks
Fading channels
Markov decision
Scalability
threshold-based ordering
Adaptive modulation and coding
Implementation
Adaptive coding
modulation and coding scheme (MCS), opportunistic selection
Markov decision problem (MDP)
Sufficient condition
Optimal code
Numerical simulation
Infinite horizon
Adaptive modulation
Modulation coding
Monotonicity
ISSN:0090-6778, 1558-0857
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Beschreibung
Zusammenfassung: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.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2009.03.070115