Performance Analysis of Multi-Branch Reconfigurable Intelligent Surfaces-Assisted Optical Wireless Communication System in Environment With Obstacles
Performance Analysis of Multi-Branch Reconfigurable Intelligent Surfaces-Assisted Optical Wireless Communication System in Environment With Obstacles
复制标题
障碍环境下多路可重构智能表面辅助光无线通信系统性能分析
DOI:
10.1109/tvt.2021.3092722
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发表时间:
2021-06
影响因子:
6.8
通讯作者:
Li Geoffrey Ye
中科院分区:
文献类型:
--
作者:
Wang Haibo;Zhang Zaichen;Zhu Bingcheng;Dang Jian;Wu Liang;Wang Lei;Zhang Kehan;Zhang Yidi;Li Geoffrey Ye
Since optical links are easily blocked by obstacles in the environment, they have been considered difficult to directly perform wireless communications. However, reconfigurable intelligent surfaces (RISs), as a new type of digital coding meta-materials, can significantly improve the coverage of optical communication by establishing new links. We propose a controllable multi-branch wireless optical communication system based on optical RISs. By setting up multiple optical RISs in the environment, multiple artificial channels are built to improve the system performance and to reduce the outage probability. In this paper, we investigate three factors affecting channel coefficients, including beam jitter, RIS jitter, and obstruction probability. We derive closed-form probability density function of channel coefficients, asymptotic average bit-error rate (BER), and the outage probability for systems with multiple branches. Our analysis reveals that the probability density function contains an impulse function, which causes irreducible error rate and outage probability floors. Based on our numerical results, the BER and outage probability floor of the multi-branch system are significantly reduced compared with the single direct path system. Therefore, the optical RIS assisted multi-branch wireless communication is a promising solution against obstacles of optical channel.
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DOI:
--
发表时间:
2020-01
期刊:
ArXiv
影响因子:
--
作者:
Haibo Wang;Zaichen Zhang;Bingcheng Zhu;J. Dang;Liang Wu;Lei Wang;Kehan Zhang;Yidi Zhang
通讯作者:
Haibo Wang;Zaichen Zhang;Bingcheng Zhu;J. Dang;Liang Wu;Lei Wang;Kehan Zhang;Yidi Zhang
影响因子:
4.7
作者:
D. Borah;D. Voelz
通讯作者:
D. Borah;D. Voelz
影响因子:
6.8
作者:
Zhang Zaichen;Dang Jian;Wu Liang;Wang Haibo;Xia Jun;Lei Wei;Wang Jiangzhou;You Xiaohu
通讯作者:
You Xiaohu
影响因子:
6.3
作者:
Parul Puri;Nestor D. Chatzidiamantis;P. Garg;Mona Aggarwal;G. Karagiannidis
通讯作者:
Parul Puri;Nestor D. Chatzidiamantis;P. Garg;Mona Aggarwal;G. Karagiannidis
DOI:
10.1109/lcomm.2020.3011843
发表时间:
2020-07
期刊:
IEEE Communications Letters
影响因子:
--
作者:
Qin Tao;Junwei Wang;C. Zhong
通讯作者:
Qin Tao;Junwei Wang;C. Zhong