中文版 | English
Title

Active-IRS Aided Wireless Network: System Modeling and Performance Analysis

Author
Corresponding AuthorYou,Changsheng
Publication Years
2022
DOI
Source Title
ISSN
1089-7798
EISSN
1558-2558
VolumePPIssue:99Pages:1-1
Abstract

Active intelligent reflecting surface (IRS) enables flexible signal reflection control with power amplification, thus effectively compensating the product-distance path-loss in conventional passive-IRS aided systems. In this letter, we characterize the communication performance of an active-IRS aided single-cell wireless network. To this end, we first propose a customized IRS deployment strategy, where the active IRSs are uniformly deployed within a ring concentric with the cell to serve the users far from the base station. Next, given the Nakagami-m fading channel, we characterize the cascaded active-IRS channel by using the mixture Gamma distribution approximation and derive a closed-form expression for the mean signal-to-noise ratio (SNR) at the user averaged over channel fading. Moreover, we numerically show that to maximize the system performance, it is necessary to choose a proper active-IRS density given a fixed number of total reflecting elements, which significantly differs from the passive-IRS case for which the centralized IRS deployment scheme is better. Furthermore, the active-IRS aided wireless network achieves higher spatial throughput than the passive-IRS counterpart when the total number of reflecting elements is small.

Keywords
URL[Source Record]
Indexed By
SCI ; EI
Language
English
SUSTech Authorship
Corresponding
Funding Project
National Natural Science Foundation of China[62201242] ; Early Career Scheme (ECS)[9048208] ; General Research Fund (GRF)[9043340]
WOS Research Area
Telecommunications
WOS Subject
Telecommunications
WOS Accession No
WOS:000935655800020
Publisher
EI Accession Number
20224613112937
EI Keywords
Mixtures ; Probability Distributions ; Signal To Noise Ratio ; Wireless Networks
ESI Classification Code
Electromagnetic Waves In Relation To Various Structures:711.2 ; Information Theory And Signal Processing:716.1 ; Radio Systems And Equipment:716.3 ; Data Communication, Equipment And Techniques:722.3 ; Probability Theory:922.1
ESI Research Field
COMPUTER SCIENCE
Scopus EID
2-s2.0-85141588561
Data Source
Scopus
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9944635
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/411899
DepartmentSouthern University of Science and Technology
Affiliation
1.City University of Hong Kong, China
2.Southern University of Science and Technology (SUSTech), China
Corresponding Author AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
Li,Yunli,You,Changsheng,Chun,Young Jin. Active-IRS Aided Wireless Network: System Modeling and Performance Analysis[J]. IEEE COMMUNICATIONS LETTERS,2022,PP(99):1-1.
APA
Li,Yunli,You,Changsheng,&Chun,Young Jin.(2022).Active-IRS Aided Wireless Network: System Modeling and Performance Analysis.IEEE COMMUNICATIONS LETTERS,PP(99),1-1.
MLA
Li,Yunli,et al."Active-IRS Aided Wireless Network: System Modeling and Performance Analysis".IEEE COMMUNICATIONS LETTERS PP.99(2022):1-1.
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