V2I Physical Layer Security Beamforming with Antenna Hardware Impairments under RIS Assistance
Source abstract
Abstract
The Internet of Vehicles (IoV) will carry a large amount of security and privacy-related data, which makes the secure communication between the IoV terminals increasingly critical. This paper studies the joint beamforming for... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Antenna Design and Analysis · Energy Harvesting in Wireless Networks · Advanced Wireless Communication Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (34)
Show source-provided references
1. Survey on VANET security challenges and possible cryptographic solutions
2. Vehicular ad hoc networks (VANETS): Status, results, and challenges10.1007/s11235-010-9400-5 ↗
3. Physical layer security in intelligently connected vehicle networks10.1109/MNET.011.1900628 ↗
4. A reliable physical layer key generation scheme based on RSS and LSTM network in VANET10.1109/JIOT.2023.3286120 ↗
5. Secrecy-driven resource management for vehicular computation offloading networks10.1109/MNET.2018.1700320 ↗
6. URLLC-awared resource allocation for heterogeneous vehicular edge computing10.1109/TVT.2024.3370196 ↗
7. Deep reinforcement learning based resource allocation for V2V communications10.1109/TVT.2019.2897134 ↗
8. Security provisioning for MISO vehicular relay networks via cooperative jamming and signal super position10.1109/TVT.2017.2703780 ↗
9. Deep learning based precoding for the MIMO Gaussian wiretap channel
10. Multi-antenna array-based massive MIMO for B5G/6G: State of the art, challenges, and future research directions10.3390/info15080442 ↗
11. Secrecy capacity analysis of artificial noisy MIMO channels—An approach based on ordered eigenvalues of Wishart matrices10.1109/TIFS.2016.2627219 ↗
12. Physical layer security enhancement using artificial noise in cellular vehicle-to-everything (C-V2X) networks10.1109/TVT.2020.3037899 ↗
13. Two-stage channel estimation for RIS-aided multiuser mmWave systems with reduced error propagation and pilot overhead10.1109/TSP.2023.3317729 ↗
14. Channel estimation by transmitting pilots from reconfigurable intelligent surface10.1109/TWC.2023.3307450 ↗
15. Joint active and passive beamforming optimization for intelligent reflecting surface assisted SWIPT under QoS constraints10.1109/JSAC.2020.3000807 ↗
16. Intelligent reflecting surface aided MIMO broadcasting for simultaneous wireless information and power transfer10.1109/JSAC.2020.3000802 ↗
17. MIMO transmission through reconfigurable intelligent surface: System design, analysis, and implementation10.1109/JSAC.2020.3007055 ↗
18. RIS-enhanced spectrum sensing: How many reflecting elements are required to achieve a detection probability close to 1?10.1109/TWC.2022.3167474 ↗
19. Intelligent reflecting surface: A programmable wireless environment for physical layer security10.1109/ACCESS.2019.2924034 ↗
20. Securing intelligent reflecting surface assisted terahertz systems10.1109/TVT.2022.3172763 ↗
21. Beamforming and jamming optimization for IRS-aided secure NOMA networks10.1109/TWC.2021.3104856 ↗
22. Physical layer security in IRS-assisted cache-enabled satellite communication networks10.1109/TGCN.2023.3280118 ↗
23. Artificial noise and RIS-aided physical layer security: Optimal RIS partitioning and power control10.1109/LWC.2023.3256001 ↗
24. QoS-constrained optimization of intelligent reflecting surface aided secure energy-efficient transmission10.1109/TVT.2021.3075685 ↗
25. Deep reinforcement learning-based intelligent reflecting surface for secure wireless communications10.1109/TWC.2020.3024860 ↗
26. Physical layer security in vehicular networks with reconfigurable intelligent surfaces
27. On the performance of partial RIS selection vs. partial relay selection for vehicular communications10.1109/TVT.2022.3177130 ↗
28. Secure vehicular communications through reconfigurable intelligent surfaces10.1109/TVT.2021.3088441 ↗
29. Massive MIMO systems with non-ideal hardware: Energy efficiency, estimation, and capacity limits10.1109/TIT.2014.2354403 ↗
30. Cellular traffic prediction with machine learning: A survey10.1016/j.eswa.2022.117163 ↗
31. Graph-based deep learning for communication networks: A survey10.1016/j.comcom.2021.12.015 ↗
32. Cooperative edge caching based on elastic federated and multi-agent deep reinforcement learning in next-generation networks10.1109/TNSM.2024.3403842 ↗
33. Z. Shao et al., “Semantic-aware spectrum sharing in internet of vehicles based on deep reinforcement learning,” 2024, arXiv:2406.07213.10.1109/JIOT.2024.3448538 ↗
34. Distributed deep reinforcement learning based gradient quantization for federated learning enabled vehicle edge computing