A fair power allocation in dual function radar and communication systems
Pengzun Gao, Long Zhao, Kan ZhengAbstract
The dual function radar and communication technology plays a crucial role in Internet of Vehicles. However, fewer studies have focused on optimizing the joint performance of sensing and communication in full‐duplex Internet of Vehicles while considering fairness. Therefore, this paper considers the scenario that the full‐duplex gNB employs dual function radar and communication technology to simultaneously achieve vehicle localization and communication with multiple half‐duplex vehicles. By leveraging a reasonable beamforming scheme to mitigate the residual self‐interference of the echo signal, an optimization problem that maximizing the joint performance metric of sensing and communication is formulated with limited power at the gNB. After problem transformation, a double descent iteration power allocation algorithm is proposed to solve the non‐convex optimization problem and the complexity of the algorithm is analysed. Simulation results demonstrate that the proposed algorithm converges and could fairly improve both the sensing and communication performance.