Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS
Intelligent reflecting surface (IRS) is a revolutionary and low-cost technology for boosting the spectrum and energy efficiencies in future wireless communication network. In order to create controllable multipath transmission in the conventional line-of-sight (LOS) wireless communication environmen...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9846904/ |
| _version_ | 1811309201393188864 |
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| author | Rongen Dong Shaohua Jiang Xinhai Hua Yin Teng Feng Shu Jiangzhou Wang |
| author_facet | Rongen Dong Shaohua Jiang Xinhai Hua Yin Teng Feng Shu Jiangzhou Wang |
| author_sort | Rongen Dong |
| collection | DOAJ |
| description | Intelligent reflecting surface (IRS) is a revolutionary and low-cost technology for boosting the spectrum and energy efficiencies in future wireless communication network. In order to create controllable multipath transmission in the conventional line-of-sight (LOS) wireless communication environment, an IRS-aided directional modulation (DM) network is considered. In this paper, to improve the transmission security of the system and maximize the receive power sum (Max-RPS), two alternately optimizing schemes of jointly designing receive beamforming (RBF) vectors and IRS phase shift matrix (PSM) are proposed: Max-RPS using general alternating optimization (Max-RPS-GAO) algorithm and Max-RPS using zero-forcing (Max-RPS-ZF) algorithm. Simulation results show that, compared with the no-IRSassisted scheme and no-PSM optimization scheme, the proposed IRS-assisted Max-RPS-GAO method and Max-RPS-ZF method can significantly improve the secrecy rate (SR) performance of the DM system. Moreover, compared with the Max-RPS-GAO method, the proposed Max-RPS-ZF method has a faster convergence speed and a certain lower computational complexity. |
| first_indexed | 2024-04-13T09:36:52Z |
| format | Article |
| id | doaj.art-b3c862b4e557446fae7022a29a8753dc |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2024-04-13T09:36:52Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-b3c862b4e557446fae7022a29a8753dc2022-12-22T02:52:03ZengIEEEIEEE Open Journal of the Communications Society2644-125X2022-01-0131234124310.1109/OJCOMS.2022.31950509846904Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRSRongen Dong0https://orcid.org/0000-0001-9746-8635Shaohua Jiang1Xinhai Hua2Yin Teng3Feng Shu4https://orcid.org/0000-0003-0073-1965Jiangzhou Wang5https://orcid.org/0000-0003-0881-3594School of Information and Communication Engineering, Hainan University, Haikou, ChinaSchool of Electrical and Mechanical Engineering, Weifang Vocational College, Weifang, ChinaMultimedia Video Product Department, Corporation of Zhongxing Telecommunication Equipment, Nanjing, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Information and Communication Engineering, Hainan University, Haikou, ChinaSchool of Engineering, University of Kent, Canterbury, U.K.Intelligent reflecting surface (IRS) is a revolutionary and low-cost technology for boosting the spectrum and energy efficiencies in future wireless communication network. In order to create controllable multipath transmission in the conventional line-of-sight (LOS) wireless communication environment, an IRS-aided directional modulation (DM) network is considered. In this paper, to improve the transmission security of the system and maximize the receive power sum (Max-RPS), two alternately optimizing schemes of jointly designing receive beamforming (RBF) vectors and IRS phase shift matrix (PSM) are proposed: Max-RPS using general alternating optimization (Max-RPS-GAO) algorithm and Max-RPS using zero-forcing (Max-RPS-ZF) algorithm. Simulation results show that, compared with the no-IRSassisted scheme and no-PSM optimization scheme, the proposed IRS-assisted Max-RPS-GAO method and Max-RPS-ZF method can significantly improve the secrecy rate (SR) performance of the DM system. Moreover, compared with the Max-RPS-GAO method, the proposed Max-RPS-ZF method has a faster convergence speed and a certain lower computational complexity.https://ieeexplore.ieee.org/document/9846904/Intelligent reflecting surfacedirectional modulationsecrecy ratereceive beamformingreceive power sum |
| spellingShingle | Rongen Dong Shaohua Jiang Xinhai Hua Yin Teng Feng Shu Jiangzhou Wang Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS IEEE Open Journal of the Communications Society Intelligent reflecting surface directional modulation secrecy rate receive beamforming receive power sum |
| title | Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS |
| title_full | Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS |
| title_fullStr | Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS |
| title_full_unstemmed | Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS |
| title_short | Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS |
| title_sort | low complexity joint phase adjustment and receive beamforming for directional modulation networks via irs |
| topic | Intelligent reflecting surface directional modulation secrecy rate receive beamforming receive power sum |
| url | https://ieeexplore.ieee.org/document/9846904/ |
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