| Title | Artificial Noise Projection Matrix Optimization Method for Secure Multi-Cast Wireless Communication |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Gao, Jianbang, Yuan, Zhaohui, Qiu, Bin |
| Conference Name | 2020 IEEE 8th International Conference on Information, Communication and Networks (ICICN) |
| Keywords | array signal processing, artificial noise projection matrix (ANPM), composability, Interference, Metrics, multi-cast, Optimization methods, physical layer (PHY) security, power distribution, privacy, pubcrawl, resilience, Resiliency, security, signal processing security, Wireless communication |
| Abstract | Transmit beamforming and artificial noise (AN) methods have been widely employed to achieve wireless physical layer (PHY) secure transmissions. While most works focus on transmit beamforming optimization, little attention is paid to the design of artificial noise projection matrix (ANPM). In this paper, compared with traditional ANPM obtained by zero-forcing method, which only makes AN power uniform distribution in free space outside legitimate users (LU) locations, we design ANPM to maximize the interference on eavesdroppers without interference on LUs for multicast directional modulation (MCDM) scenario based on frequency diverse array (FDA). Furthermore, we extend our approach to the case of with imperfect locations of Eves. Finally, simulation results show that Eves can be seriously affected by the AN with perfect/imperfect locations, respectively. |
| DOI | 10.1109/ICICN51133.2020.9205090 |
| Citation Key | gao_artificial_2020 |
Artificial Noise Projection Matrix Optimization Method for Secure Multi-Cast Wireless Communication