Cross-layer Adaptive Transmission: Optimal Strategies in Fading Channels

We consider cross-layer adaptive transmission for a single-user system with stochastic data traffic and a time- varying wireless channel. The objective is to vary the transmit power and rate according to the buffer and channel conditions so that the system throughput, defined as the long-term averag...

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Veröffentlicht in:IEEE transactions on communications Jg. 56; H. 5; S. 799 - 807
Hauptverfasser: Anh Tuan Hoang, Motani, M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.05.2008
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Applied sciences
Bit error rate
Buffer overflow
Buffers
Channels
Data communication
Detection, estimation, filtering, equalization, prediction
Dynamic programming
Dynamical systems
Dynamics
Exact sciences and technology
Fading
Information, signal and communications theory
Mathematical models
Optimization
Policies
Propagation losses
Signal and communications theory
Signal, noise
Stochastic processes
Stochastic systems
Studies
Switching and signalling
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Teletraffic
Throughput
Transmission and modulation (techniques and equipments)
Transmitters
Overflow(computer arithmetics)
Markov process
Parameter estimation
Markov decision
Bit error rate
Wireless telecommunication
Information rate
Data transmission
Adaptive method
Optimal strategy
Channel estimation
adaptive transmission
Dynamic programming
Fading channels
Time variable channel
Packet switching
Outage
throughput maximization
Transmission channel
Teletraffic
Cross-layer design
Buffer system
Information transmission
Numerical simulation
Markov decision process
Transmission loss
Transmission error
ISSN:0090-6778, 1558-0857
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Beschreibung
Zusammenfassung:We consider cross-layer adaptive transmission for a single-user system with stochastic data traffic and a time- varying wireless channel. The objective is to vary the transmit power and rate according to the buffer and channel conditions so that the system throughput, defined as the long-term average rate of successful data transmission, is maximized, subject to an average transmit power constraint. When adaptation is subject to a fixed bit error rate (BER) requirement, maximizing the system throughput is equivalent to minimizing packet loss due to buffer overflow. When the BER requirement is relaxed, maximizing the system throughput is equivalent to minimizing total packet loss due to buffer overflow and transmission errors. In both cases, we obtain optimal transmission policies through dynamic programming. We identify an interesting structural property of these optimal policies, i.e., for certain correlated fading channel models, the optimal transmit power and rate can increase when the channel gain decreases toward outage. This is in sharp contrast to the water-filling structure of policies that maximize the rate of transmission over fading channels. Numerical results are provided to support the theoretical development.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2008.060214