Reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges
Future wireless communication systems will evolve toward multifunctional integrated systems to improve spectrum utilization and reduce equipment sizes. Joint radar and communication (JRC) systems, which can support simultaneous information transmission and target detection, have been regarded as a p...
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sg-ntu-dr.10356-1629912022-11-15T00:50:43Z Reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges Du, Hongyang Kang, Jiawen Niyato, Dusit Zhang, Jiayi Kim, Dong In School of Computer Science and Engineering Engineering::Computer science and engineering Joint Radar and Communication Systems Wireless Communication Systems Future wireless communication systems will evolve toward multifunctional integrated systems to improve spectrum utilization and reduce equipment sizes. Joint radar and communication (JRC) systems, which can support simultaneous information transmission and target detection, have been regarded as a promising solution for emerging applications, such as autonomous vehicles. In JRC, data security and privacy protection are critical issues. Thus, we apply covert communication to JRC and propose a joint radar and covert communication (JRCC) system to simultaneously achieve high spectrum utilization and secure data transmission. In the JRCC system, sensitive data transmission is hidden from malicious parties. However, the performance of JRCC is restricted by a severe signal propagation environment and hardware devices. Fortunately, reconfigurable intelligent surfaces (RISs) can intelligently change the signal propagation to improve network performance and cost. We first review fundamental concepts of JRCC and RISs and then propose a RIS-aided JRCC system design. Furthermore, covert communication and radar performance metrics are investigated, and a game theory-based covert rate optimization scheme is designed to achieve secure communication. Finally, we present several promising applications and future directions of RIS-aided JRCC systems. Ministry of Education (MOE) National Research Foundation (NRF) This work was supported, in part, by the National Key R&D Program of China, under grant 2020YFB1806903; National Natural Science Foundation of China, under grants 61971027 and 62102099; Natural Science Foundation of Jiangsu Province, under grant BK20212002; DesCartes program; National Research Foundation, Prime Minister’s Office, Singapore, under its Campus for Research Excellence and Technological Enterprise program; Alibaba Group, through the Alibaba Innovative Research program and Alibaba–Nanyang Technological University Singapore Joint Research Institute; National Research Foundation, Singapore, under AI Singapore Program grant AISG2-RP-2020-019; and Singapore Ministry of Education, under grant RG16/20. This work was also supported, in part, by the National Research Foundation of Korea, under grant 2021R1A2C2007638. 2022-11-15T00:50:43Z 2022-11-15T00:50:43Z 2022 Journal Article Du, H., Kang, J., Niyato, D., Zhang, J. & Kim, D. I. (2022). Reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges. IEEE Vehicular Technology Magazine, 17(3), 54-64. https://dx.doi.org/10.1109/MVT.2022.3169292 1556-6072 https://hdl.handle.net/10356/162991 10.1109/MVT.2022.3169292 2-s2.0-85129354978 3 17 54 64 en AISG2-RP-2020-019 RG16/20 IEEE Vehicular Technology Magazine © 2022 IEEE. All rights reserved. |
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Engineering::Computer science and engineering Joint Radar and Communication Systems Wireless Communication Systems Du, Hongyang Kang, Jiawen Niyato, Dusit Zhang, Jiayi Kim, Dong In Reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges |
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Future wireless communication systems will evolve toward multifunctional integrated systems to improve spectrum utilization and reduce equipment sizes. Joint radar and communication (JRC) systems, which can support simultaneous information transmission and target detection, have been regarded as a promising solution for emerging applications, such as autonomous vehicles. In JRC, data security and privacy protection are critical issues. Thus, we apply covert communication to JRC and propose a joint radar and covert communication (JRCC) system to simultaneously achieve high spectrum utilization and secure data transmission. In the JRCC system, sensitive data transmission is hidden from malicious parties. However, the performance of JRCC is restricted by a severe signal propagation environment and hardware devices. Fortunately, reconfigurable intelligent surfaces (RISs) can intelligently change the signal propagation to improve network performance and cost. We first review fundamental concepts of JRCC and RISs and then propose a RIS-aided JRCC system design. Furthermore, covert communication and radar performance metrics are investigated, and a game theory-based covert rate optimization scheme is designed to achieve secure communication. Finally, we present several promising applications and future directions of RIS-aided JRCC systems. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Du, Hongyang Kang, Jiawen Niyato, Dusit Zhang, Jiayi Kim, Dong In |
format |
Article |
author |
Du, Hongyang Kang, Jiawen Niyato, Dusit Zhang, Jiayi Kim, Dong In |
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Du, Hongyang |
title |
Reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges |
title_short |
Reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges |
title_full |
Reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges |
title_fullStr |
Reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges |
title_full_unstemmed |
Reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges |
title_sort |
reconfigurable intelligent surface-aided joint radar and covert communications: fundamentals, optimization, and challenges |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/162991 |
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1751548511590023168 |