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Game-theoretic approach to joint transmitter adaptation and power control in wireless systems
Dimitrie C Popescu1, Danda B Rawat, Otilia Popescu
1Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA. dpopescu@odu.edu
Summary
Game theory optimizes wireless systems by modeling adaptive transmitters. This approach ensures quality-of-service targets are met with minimal power, maximizing system capacity.
Area of Science:
- Wireless Communication
- Game Theory
- Information Theory
Background:
- Game theory offers a novel framework for analyzing non-cooperative interactions in wireless systems.
- Adaptive transmitters require sophisticated strategies for efficient resource allocation and performance optimization.
Purpose of the Study:
- To develop a game-theoretic model for joint transmitter adaptation and power control in wireless systems.
- To analyze the properties of separable games for optimizing user transmissions under quality-of-service constraints.
Main Methods:
- Formulation of a separable game for joint codeword and power adaptation.
- Analysis of subgames: codeword adaptation and power adaptation.
- Investigation of conditions for optimal Nash equilibrium.
Main Results:
- The optimal Nash equilibrium maximizes the sum capacity of the multiaccess vector channel.
- Achieves target signal-to-interference-plus-noise ratios (SINRs) with minimum transmitted power.
- Demonstrates the effectiveness of separable games in wireless system design.
Conclusions:
- Game theory provides an effective framework for joint adaptation and power control in wireless networks.
- The proposed model achieves optimal system performance by balancing user objectives and resource constraints.
- This approach enhances efficiency and reliability in wireless communication systems.
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