Title | Achieving the Performance Bounds for Sensing and Communications in Perceptive Networks: Optimal Bandwidth Allocation |
Author | |
Corresponding Author | Fan Liu |
Publication Years | 2022-09-01
|
DOI | |
Source Title | |
ISSN | 2162-2337
|
EISSN | 2162-2345
|
Volume | 11Issue:9Pages:1835-1839 |
Abstract | This letter investigates the performance bounds of sensing and communications (S&C) in perceptive networks, where multiple user equipments (UEs) are deployed with both S&C capabilities whose performances are both closely related to the allocated bandwidth. To this end, we develop a novel bandwidth allocation strategy which optimizes the weighted average range resolution for sensing, while guaranteeing the sum-rate among UEs for wireless communications. We first formulate the bandwidth allocation problem into a convex optimization programming, and then develop a highly efficient algorithm to obtain the optimal solution. Through a deeper analysis of the problem structure, we build an initial understanding and provide insights into the performance tradeoff between S&C, which can be achieved by three specifically tailored bandwidth allocation schemes. Numerical results are given to verify the performance of the proposed method, showing that our bandwidth allocation scheme achieves the pareto boundary of S&C performance, with significantly reduced computational complexity. |
Keywords | |
URL | [Source Record] |
Indexed By | |
Language | English
|
SUSTech Authorship | Corresponding
|
Funding Project | National Natural Science Foundation of China[62101234]
; National Key Research and Development Program of China[2021YFB2900200]
|
WOS Research Area | Computer Science
; Engineering
; Telecommunications
|
WOS Subject | Computer Science, Information Systems
; Engineering, Electrical & Electronic
; Telecommunications
|
WOS Accession No | WOS:000852215400017
|
Publisher | |
EI Accession Number | 20222612278105
|
EI Keywords | Bandwidth
; Convex Optimization
; Frequency Allocation
; Numerical Methods
; Signal Interference
|
ESI Classification Code | Information Theory And Signal Processing:716.1
; Radio Systems And Equipment:716.3
; Television Systems And Equipment:716.4
; Numerical Methods:921.6
|
Data Source | Web of Science
|
PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796610 |
Citation statistics |
Cited Times [WOS]:3
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/347889 |
Department | Department of Electrical and Electronic Engineering |
Affiliation | 1.China Academy of Information and Communications Technology, Beijing, China 2.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China |
Corresponding Author Affilication | Department of Electrical and Electronic Engineering |
Recommended Citation GB/T 7714 |
Zhiqin Wang,Kaifeng Han,Xia Shen,et al. Achieving the Performance Bounds for Sensing and Communications in Perceptive Networks: Optimal Bandwidth Allocation[J]. IEEE Wireless Communications Letters,2022,11(9):1835-1839.
|
APA |
Zhiqin Wang,Kaifeng Han,Xia Shen,Weijie Yuan,&Fan Liu.(2022).Achieving the Performance Bounds for Sensing and Communications in Perceptive Networks: Optimal Bandwidth Allocation.IEEE Wireless Communications Letters,11(9),1835-1839.
|
MLA |
Zhiqin Wang,et al."Achieving the Performance Bounds for Sensing and Communications in Perceptive Networks: Optimal Bandwidth Allocation".IEEE Wireless Communications Letters 11.9(2022):1835-1839.
|
Files in This Item: | There are no files associated with this item. |
|
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment