Power-Efficient Resource Allocation and Quantization for TDMA Using Adaptive Transmission and Limited-Rate Feedback

Power-efficient scheduling and resource allocation are critical tasks for wireless sensor networks as well as commercial and tactical radios relying on IEEE access standards for power-limited communications. Tailored for such applications, this paper formulates and solves analytically novel convex o...

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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 56; no. 9; pp. 4470 - 4485
Main Authors: Xin Wang, Marques, A.G., Giannakis, G.B.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.09.2008
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adaptive algorithms
Applied sciences
Channel state information
Channels
Communication standards
convex optimization
Design engineering
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Feedback
Information, signal and communications theory
Modulation coding
Modulation, demodulation
multiple access
Multiplexing
Optimization
power control
Quantization
Radio spectrum management
Radio transmitters
Resource allocation
Resource management
Sampling, quantization
Scheduling
Signal and communications theory
Signal, noise
State feedback
Studies
Telecommunications and information theory
Time division multiple access
Wireless sensor networks
Multiplexing
resource management
Parameter estimation
wireless sensor networks
Bit error rate
Wireless telecommunication
Resource allocation
Transmitter
Frequency conversion
Power allocation
Convex programming
Remote sensing
Time division multiple access
Signal quantization
Channel estimation
Modulation
multiple access
IEEE standards
Optimal planning
quantization
Fading channels
Adaptive algorithms
Scheduling
Signal processing
Frequency divider
convex optimization
Quantifier
Transmission rate
power control
Sensor array
ISSN:1053-587X, 1941-0476
Online Access:Get full text
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Summary:Power-efficient scheduling and resource allocation are critical tasks for wireless sensor networks as well as commercial and tactical radios relying on IEEE access standards for power-limited communications. Tailored for such applications, this paper formulates and solves analytically novel convex optimization problems offering globally optimal user scheduling, as well as rate and power allocation for time-division multiple access (TDMA) in time-division-duplex or frequency-division-duplex operation. Through a limited-rate feedback link the access point provides quantized channel state information to the transmitters (Q-CSIT) based on which users adapt their modulation and code choices to the intended fading channel. When the quantizer needed to form the Q-CSIT is not prescribed, a joint allocation-quantization scheme is devised to minimize average transmit power subject to average rate and bit error rate constraints. The novel design couples adaptive transmission modes with quantization regions which are constructed to attain at least a local minimum of the average transmit power. Fairness in resource allocation is guaranteed by design. Transmit power and quantization region books are efficiently obtained offline while the online Q-CSIT based operation turns out to entail only a few feedback bits. Analysis and simulations include a perfect CSIT benchmark and reveal substantial power savings (as high as 15 dB) with low-overhead feedback.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2008.924635