题名 | Multi-User Beamforming Design for Integrating Sensing, Communications, and Power Transfer |
作者 | |
通讯作者 | Li,Xiaoyang |
DOI | |
发表日期 | 2023
|
ISSN | 1525-3511
|
ISBN | 978-1-6654-9123-5
|
会议录名称 | |
卷号 | 2023-March
|
页码 | 1-6
|
会议日期 | 26-29 March 2023
|
会议地点 | Glasgow, United Kingdom
|
摘要 | To facilitate the data collection process, simultaneous wireless information and power transfer utilizes the same signal for powering the devices and delivering the information, while the integrated sensing and communication utilizes the same signal for data transmission and radar sensing. In next generation networks, the sensing, communication, and power transfer functionalities are expected to be integrated together to enhance the radio resource efficiency and enable the data collection by massive low-power devices, which leads to the new research direction namely integrating sensing, communication, and power transfer (ISCPT). The ISCPT beamforming design for multiple users is investigated in this paper to improve the sensing performance while guaranteeing the communication and power transfer requirements. The resultant non-convex optimization problem is solved by the approach based on semidefinite relaxation and rank reduction methods. Simulations are further conducted to verify the effectiveness of the proposed design. |
关键词 | |
学校署名 | 其他
|
语种 | 英语
|
相关链接 | [Scopus记录] |
收录类别 | |
WOS记录号 | WOS:000989491900211
|
EI入藏号 | 20232114140266
|
EI主题词 | Beamforming
; Convex optimization
; Data acquisition
; Data communication systems
; Data integration
; Energy transfer
; Low power electronics
; Next generation networks
|
EI分类号 | Electromagnetic Waves in Relation to Various Structures:711.2
; Telecommunication; Radar, Radio and Television:716
; Data Processing and Image Processing:723.2
|
Scopus记录号 | 2-s2.0-85159782246
|
来源库 | Scopus
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10118850 |
引用统计 |
被引频次[WOS]:3
|
成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/536746 |
专题 | 工学院_电子与电气工程系 |
作者单位 | 1.Shenzhen Research Institute of Big Data,Shenzhen,China 2.China Academy of Information and Communication Technology,Beijing,China 3.Southern University of Science and Technology,Department of Electrical and Electronic Engineering,Shenzhen,China |
推荐引用方式 GB/T 7714 |
Li,Xiaoyang,Yi,Xuan,Zhou,Ziqin,et al. Multi-User Beamforming Design for Integrating Sensing, Communications, and Power Transfer[C],2023:1-6.
|
条目包含的文件 | 条目无相关文件。 |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论