Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Random Phase and Pattern Schemes for Wireless Physical Layer Security

Meng Yan, 裕淵 張, Yuyuan Chang, 和彦 府川, Kazuhiko Fukawa

Published Sep 1, 2022• 0 citations
OpenAlex

Related papers

Wireless Physical Layer Security Schemes Using Random Phases for MIMO-OFDM Communications and Its Security Rate Analysis

Tsuyoshi Yoneda, Kazuhiko Fukawa, Yuyuan Chang

IEICE Technical Report; IEICE Tech. Rep.•Feb 21, 2018•0 citations

Physical layer security schemes for wireless communication systems

Marwan Yusuf

•Jan 1, 2016•0 citations

Recent approaches to wireless physical layer security

Mohammad Tahir, Sigit Puspito Wigati Jarot, Muhammad Siddiqi

IIUM Press eBooks•Jan 1, 2011•0 citations

Analysis of the physical layer security enhancing of wireless communication system under the random mobile

Tengyue Zhang, Hong Wen, Jie Tang +4 more

User mobility is a major feature of wireless networks. At present, physical layer security research rarely considers the impact of user mobility on the physical layer security performance in the network. In this study, the authors propose a random mobile user physical layer security model and study the impact of random waypoint movement users on the security performance of the physical layer in wireless networks, in which an artificial noise security scheme under the multi‐antenna transmission model is considered. They derive the closed expression of positive secrecy capacity probability and secrecy outage probability under this model. The results prove that system security is enhanced because of the users’ mobility.

IET Communications•Feb 14, 2019•10 citations

Using ill-conditioned theory for physical-layer security in time-variant channels

Wenyu Luo

The unstable characteristic of ill-conditioned system is used to guarantee wireless security in this paper. The use of ill-conditioned theory to protect wireless transmissions is proposed as a way to secure wireless networks at physical layer. Firstly, the problem of randomized transmission is converted to that of solving ill-conditioned equation to guarantee wireless transmissions with inherent low-probability-of interception (LPI). Secondly, a conditional ill-conditioned optimization function is constructed. The function of legitimate node is stable because of its matched channel. But the function of eavesdropper is randomized because that she has not the legitimate conditions, which relate to the wireless medium contains domain-specific information. In this context, we propose a security scheme for wireless security in time-variant channels. In this scheme, the variable part of channels is converted to additional conditions, which can be solved by optimizing parameters. In contrast to conventional physical-layer security techniques, the scheme exploits the redundancy of ill-conditioned problem's solutions instead of array redundancy for deliberate signal randomization, which effectively randomizes the eavesdropper's received signals but not the authorized receiver's signals. Extensive simulations and analysis results show that our proposed scheme is useful for securing wireless transmissions.

IEEE Wireless Communications and Networking Conference•Apr 1, 2013•0 citations

Physical Layer Security for Future Wireless Communication Systems

K. Gunaseelan, R. Dhanusuya, A. R. Abdul Rajak +1 more

Springer eBooks•Jan 1, 2025•0 citations
User mobility is a major feature of wireless networks. At present, physical layer security research rarely considers the impact of user mobility on the physical layer security performance in the network. In this study, the authors propose a random mobile user physical layer security model and study the impact of random waypoint movement users on the security performance of the physical layer in wireless networks, in which an artificial noise security scheme under the multi‐antenna transmission model is considered. They derive the closed expression of positive secrecy capacity probability and secrecy outage probability under this model. The results prove that system security is enhanced because of the users’ mobility.
The unstable characteristic of ill-conditioned system is used to guarantee wireless security in this paper. The use of ill-conditioned theory to protect wireless transmissions is proposed as a way to secure wireless networks at physical layer. Firstly, the problem of randomized transmission is converted to that of solving ill-conditioned equation to guarantee wireless transmissions with inherent low-probability-of interception (LPI). Secondly, a conditional ill-conditioned optimization function is constructed. The function of legitimate node is stable because of its matched channel. But the function of eavesdropper is randomized because that she has not the legitimate conditions, which relate to the wireless medium contains domain-specific information. In this context, we propose a security scheme for wireless security in time-variant channels. In this scheme, the variable part of channels is converted to additional conditions, which can be solved by optimizing parameters. In contrast to conventional physical-layer security techniques, the scheme exploits the redundancy of ill-conditioned problem's solutions instead of array redundancy for deliberate signal randomization, which effectively randomizes the eavesdropper's received signals but not the authorized receiver's signals. Extensive simulations and analysis results show that our proposed scheme is useful for securing wireless transmissions.