期刊
IEEE SENSORS JOURNAL
卷 19, 期 23, 页码 11167-11179出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2019.2935760
关键词
Joint subcarrier assignment and power allocation; power minimization; power-saving performance; integrated radar and communications system (IRCS); mutual information (MI); data information rate (DIR)
资金
- National Natural Science Foundation of China [61801212, 61371170, 61671239]
- China Postdoctoral Science Foundation [2019M650113]
- Natural Science Foundation of Jiangsu Province [BK20180423]
- National Aerospace Science Foundation of China [20172752019, 2017ZC52036]
- Fundamental Research Funds for the Central Universities [NT2019010]
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PADA)
- Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Nanjing University of Aeronautics and Astronautics, Ministry of Industry and Information Technology, Nanjing, China
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.
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