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Joint Subcarrier Assignment and Power Allocation Strategy for Integrated Radar and Communications System Based on Power Minimization

机译:基于功率最小化的集成雷达与通信系统联合子载波分配与功率分配策略

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摘要

This paper investigates the problem of power minimization-based joint subcarrier assignment and power allocation (PM-JSAPA) for an integrated radar and communications system (IRCS). In the considered system, the integrated transmitter is responsible to fulfill both radar and communications purposes simultaneously. The proposed PM-JSAPA strategy aims to minimize the total radiated power of the IRCS by jointly optimizing the available subcarriers and power resource allocation in order to achieve improved power-saving performance, subject to a predetermined mutual information (MI) for target parameter estimation and a specified data information rate (DIR) for wireless communications. The formulated problem falls into a mixed integer nonlinear programming (MINLP) problem, which is generally NP-hard. Then, an efficient three-step resource allocation framework is designed to solve the resulting optimization problem. Specifically, in Step 1, the subcarrier assignment for both radar and communications purposes is determined. In Step 2 and Step 3, we perform power allocation for different applications with the obtained subcarrier assignment results in Step 1, respectively. Finally, numerical simulation results are presented to demonstrate the superior power-saving performance of the proposed PM-JSAPA strategy and the effectiveness of the proposed solutions.
机译:本文研究了集成雷达和通信系统(IRCS)的基于功率最小化的联合子载波分配和功率分配(PM-JSAPA)问题。在考虑的系统中,集成发射机负责同时实现雷达和通信目的。所提出的PM-JSAPA策略旨在通过联合优化可用子载波和功率资源分配来最小化IRCS的总辐射功率,以实现改进的节能性能,但要遵守用于目标参数估计的预定互信息(MI)。无线通信的指定数据信息速率(DIR)。拟定的问题属于混合整数非线性规划(MINLP)问题,通常是NP难的。然后,设计了一个有效的三步资源分配框架来解决由此产生的优化问题。具体而言,在步骤1中,确定用于雷达和通信目的的子载波分配。在步骤2和步骤3中,我们分别使用步骤1中获得的子载波分配结果对不同的应用程序进行功率分配。最后,数值仿真结果表明了所提出的PM-JSAPA策略的卓越节能性能以及所提出解决方案的有效性。

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