Title | Active-IRS Aided Wireless Network: System Modeling and Performance Analysis |
Author | |
Corresponding Author | You,Changsheng |
Publication Years | 2022
|
DOI | |
Source Title | |
ISSN | 1089-7798
|
EISSN | 1558-2558
|
Volume | PPIssue: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 | |
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 url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9944635 |
Citation statistics |
Cited Times [WOS]:0
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/411899 |
Department | Southern University of Science and Technology |
Affiliation | 1.City University of Hong Kong, China 2.Southern University of Science and Technology (SUSTech), China |
Corresponding Author Affilication | Southern 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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