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Nash Bargaining Game-Theoretic Framework for Power Control in Distributed Multiple-Radar Architecture Underlying

Chenguang Shi¹, Fei Wang¹, Sana Salous²

¹Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

Entropy (Basel, Switzerland)

|December 3, 2020

Summary

This study introduces a Nash bargaining solution (NBS) framework for efficient power control in distributed multiple-radar systems. The approach minimizes radar power while protecting wireless communications and ensuring target detection.

Keywords:

Nash bargaining solution cooperative game distributed multiple-radar system interference power constraint power control signal-to-interference-plus-noise ratio

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Area of Science:

Electrical Engineering
Signal Processing
Game Theory

Background:

Distributed multiple-radar systems (DMRS) require optimized power control for efficiency and performance.
Balancing radar detection needs with wireless communication interference is a key challenge.

Purpose of the Study:

To develop a cooperative game-theoretic framework for power control in DMRS.
To minimize total power consumption while ensuring communication user protection and radar detection requirements.

Main Methods:

A novel Nash bargaining solution (NBS)-based cooperative game-theoretic framework is proposed.
Interference power constraints (IPCs) and minimum signal-to-interference-plus-noise ratio (SINR) are utilized.
An iterative Nash bargaining power control algorithm is developed.

Main Results:

The existence, uniqueness, and fairness of the NBS are proven.
The developed algorithm converges to a Pareto-optimal equilibrium with low computational complexity.
Numerical simulations confirm the algorithm's effectiveness in power control and communication protection.

Conclusions:

The proposed NBS framework offers an efficient solution for power control in DMRS.
The distributed algorithm effectively balances competing objectives with minimal overhead.
This approach enhances radar performance and protects wireless communication systems.