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Power optimization of wireless media systems with space-time block codes.
Homayoun Yousefi'zadeh1, Hamid Jafarkhani, Mehran Moshfeghi
1Department of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA. hyousefi@uci.edu
Summary
This study introduces power control solutions for wireless media systems using multiple antennas, optimizing energy use while maintaining quality of service and bit rate. It considers various coding and channel models for efficient wireless communication.
Area of Science:
- Wireless Communications
- Signal Processing
- Information Theory
Background:
- Wireless media systems face challenges in power consumption, especially with multiple antennas.
- Efficient power control is crucial for maintaining Quality of Service (QoS) and available bit rate.
Purpose of the Study:
- To develop analytical and numerical solutions for power control in multi-antenna wireless media systems.
- To minimize total power consumption by optimizing source coding, channel coding, and transmission power.
Main Methods:
- Formulation of optimization problems for power control.
- Consideration of Gauss-Markov and video source models.
- Analysis of Rayleigh fading channels and Bernoulli/Gilbert-Elliott loss models.
- Inclusion of space-time block codes in the analysis.
Main Results:
- Analytical and numerical solutions for power control problems are presented.
- The study demonstrates a method to minimize power consumption under specific QoS and bit rate constraints.
- The impact of various source models, channel conditions, and coding schemes on power consumption is evaluated.
Conclusions:
- The proposed power control framework effectively reduces energy consumption in wireless media systems.
- The findings provide valuable insights for designing energy-efficient multi-antenna wireless systems.
- This research contributes to the advancement of sustainable wireless communication technologies.