4.7 Article

Jamming Mitigation via Aerial Reconfigurable Intelligent Surface: Passive Beamforming and Deployment Optimization

期刊

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 70, 期 6, 页码 6232-6237

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2021.3077662

关键词

Jamming; Optimization; Wireless communication; Manifolds; Array signal processing; Zirconium; Communication system security; Aerial reconfigurable intelligent surface; jamming mitigation; alternating optimization; manifold

资金

  1. National Natural Science Foundation of China [61901378, 61941119, 61901379]
  2. China Postdoctoral Science Foundation [BX20190287, 2020M683563]
  3. Foundation of the Science, Technology, and Innovation Commission of Shenzhen Municipality [JCYJ20190806160218174]
  4. Open Research Fund of NationalMobile Communications Research Laboratory in Southeast University [2020D04]
  5. Key Research Program, and Industrial Innovation Chain Project of Shaanxi Province [2019ZDLGY07-10]
  6. Natural Science Basic Research Plan in Shaanxi Province of China [2021JM-069]
  7. Open Fund of the Shaanxi Key Laboratory of Information Communication Network, and Security [ICNS201801]
  8. US NSF [EARS-1839818, CNS1717454, CNS-1731424, CNS-1702850]

向作者/读者索取更多资源

The correspondence highlights the potential of reconfigurable intelligent surface (RIS) in anti-jamming communications, focusing on an aerial RIS (ARIS) deployed in the air to mitigate jamming attacks and enhance legitimate transmissions. Through joint optimization of ARIS deployment and passive beamforming, the problem is solved using an alternating optimization framework, with simulation results demonstrating the effectiveness of ARIS in mitigating jamming attacks.
This correspondence reveals the potential of reconfigurable intelligent surface (RIS) in anti-jamming communications. In particular, we consider an aerial RIS (ARIS) that can be flexibly deployed in the air so as to mitigate jamming attacks and enhance the legitimate transmissions. We formulate the joint optimization of ARIS deployment and passive beamforming and solve the problem through an alternating optimization framework, where the location of ARIS is obtained by successive convex approximation and the reflection beamformer is tackled with manifold optimization. Finally, simulation results demonstrate that an ARIS with our proposal can effectively mitigate the jamming attacks and thus safeguard the legitimate transmissions.

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