Resource Allocation for a Wireless Powered Integrated Radar and Communication System
Yifan Zhou, Huilin Zhou, Fuhui Zhou, Yongpeng Wu, Victor C. M. Leung

TL;DR
This paper proposes an energy-efficient wireless powered integrated radar and communication system, optimizing energy beamforming and waveforms to enhance performance while minimizing energy consumption.
Contribution
It introduces a joint optimization framework for energy beamforming and waveform design in wireless powered radar-communication systems, solving a non-convex problem optimally.
Findings
Optimal design outperforms benchmark schemes
Energy minimization achieved under performance constraints
Semidefinite relaxation effectively solves the non-convex problem
Abstract
The integrated radar and communication system is promising in the next generation wireless communication networks. However, its performance is confined by the limited energy. In order to overcome it, a wireless powered integrated radar and communication system is proposed. An energy minimization problem is formulated subject to constraints on the radar and communication performances. The energy beamforming and radar-communication waveform are jointly optimized to minimize the consumption energy. The challenging non-convex problem is solved by using semidefinite relaxation and auxiliary variable methods. It is proved that the optimal solution can be obtained. Simulation results demonstrate that our proposed optimal design outperforms the benchmark scheme.
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Taxonomy
TopicsRadar Systems and Signal Processing · Energy Harvesting in Wireless Networks · UAV Applications and Optimization
