Self-Sustainable Intelligent Omni-Surface Aided Multi-User Wireless Networks

被引：0

作者：

Luo, Hao ^{[1
]}

Lv, Lu ^{[1
]}

Yang, Long ^{[1
]}

Wu, Qingqing ^{[2
]}

Ding, Zhiguo ^{[3
]}

Al-Dhahir, Naofal ^{[4
]}

Chen, Jian ^{[1
]}

机构：

[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China

[2] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China

[3] Khalifa Univ, Dept Elect Engn & Comp Sci, Abu Dhabi 127788, U Arab Emirates

[4] Univ Texas Dallas, Dept Elect & Comp Engn, Dallas, TX 75080 USA

来源：

2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL | 2023年

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

D O I：

10.1109/VTC2023-Fall60731.2023.10333508

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We investigate a new self-sustainable intelligent omni-surface (S-IOS) aided multi-user wireless network, where the S-IOS harvests the radio frequency energy from the signals transmitted by the access point (AP) and exploits the harvested energy to provide full-dimensional beamforming services for the users. We design a joint optimization problem of transmit beamforming at the AP, refraction/reflection beamforming at the S-IOS, and energy harvesting schedule at the S-IOS, to maximize the sum rate of the overall network. A computationally-efficient algorithm is developed to solve the problem. Numerical results demonstrate the significant importance of the S-IOS for spectral and energy efficient wireless communications.

引用

页数：5

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