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

Hao Luo; Lu Lv; Long Yang; Qingqing Wu; Zhiguo Ding; Naofal Al-Dhahir; Jian Chen

doi:10.1109/VTC2023-Fall60731.2023.10333508

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

Hao Luo
, Lu Lv
, Long Yang
, Qingqing Wu
, Zhiguo Ding
, Naofal Al-Dhahir
, Jian Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	British English
Title of host publication	2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350329285
DOIs	https://doi.org/10.1109/VTC2023-Fall60731.2023.10333508
State	Published - 2023
Event	98th IEEE Vehicular Technology Conference, VTC 2023-Fall - Hong Kong, China Duration: 10 Oct 2023 → 13 Oct 2023

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	98th IEEE Vehicular Technology Conference, VTC 2023-Fall
Country/Territory	China
City	Hong Kong
Period	10/10/23 → 13/10/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/VTC2023-Fall60731.2023.10333508

OpenUrl availability

Full text

Cite this

Luo, H., Lv, L., Yang, L., Wu, Q., Ding, Z., Al-Dhahir, N., & Chen, J. (2023). Self-Sustainable Intelligent Omni-Surface Aided Multi-User Wireless Networks. In 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings (IEEE Vehicular Technology Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2023-Fall60731.2023.10333508

@inproceedings{b71031d7d4624a40b4bcdf916d4e7307,

title = "Self-Sustainable Intelligent Omni-Surface Aided Multi-User Wireless Networks",

abstract = "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.",

author = "Hao Luo and Lu Lv and Long Yang and Qingqing Wu and Zhiguo Ding and Naofal Al-Dhahir and Jian Chen",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 98th IEEE Vehicular Technology Conference, VTC 2023-Fall ; Conference date: 10-10-2023 Through 13-10-2023",

year = "2023",

doi = "10.1109/VTC2023-Fall60731.2023.10333508",

language = "British English",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings",

address = "United States",

}

Luo, H, Lv, L, Yang, L, Wu, Q, Ding, Z, Al-Dhahir, N & Chen, J 2023, Self-Sustainable Intelligent Omni-Surface Aided Multi-User Wireless Networks. in 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. IEEE Vehicular Technology Conference, Institute of Electrical and Electronics Engineers Inc., 98th IEEE Vehicular Technology Conference, VTC 2023-Fall, Hong Kong, China, 10/10/23. https://doi.org/10.1109/VTC2023-Fall60731.2023.10333508

Self-Sustainable Intelligent Omni-Surface Aided Multi-User Wireless Networks. / Luo, Hao; Lv, Lu; Yang, Long et al.
2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Self-Sustainable Intelligent Omni-Surface Aided Multi-User Wireless Networks

AU - Luo, Hao

AU - Lv, Lu

AU - Yang, Long

AU - Wu, Qingqing

AU - Ding, Zhiguo

AU - Al-Dhahir, Naofal

AU - Chen, Jian

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85181165421

U2 - 10.1109/VTC2023-Fall60731.2023.10333508

DO - 10.1109/VTC2023-Fall60731.2023.10333508

M3 - Conference contribution

AN - SCOPUS:85181165421

T3 - IEEE Vehicular Technology Conference

BT - 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 98th IEEE Vehicular Technology Conference, VTC 2023-Fall

Y2 - 10 October 2023 through 13 October 2023

ER -

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

Abstract

Publication series

Conference

UN SDGs

Access to Document

OpenUrl availability

Other files and links

Fingerprint

Cite this