Ergodic Performance Analysis of Intelligent Reflecting Surface Network with Phase Errors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256307" target="_blank" >RIV/61989100:27240/24:10256307 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/24:10256307
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-981-99-8703-0_59" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-99-8703-0_59</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-99-8703-0_60" target="_blank" >10.1007/978-981-99-8703-0_60</a>
Alternative languages
Result language
angličtina
Original language name
Ergodic Performance Analysis of Intelligent Reflecting Surface Network with Phase Errors
Original language description
In this paper, we investigate an application of the Intelligent Reflecting Surface (IRS). This technology has emerged as promising and low-cost technology for 6G networks improving wireless communications by collecting dispersed radio waves and redirecting them to the intended destination users. We characterize the achievable rate when multiple IRSs are utilized in the manner of Decode-and-Forward (DF) relaying. Our capacity performance analysis is based on the Rayleigh fading model with perfect Channel State Information (CSI) and we optimize the IRS configuration considering the ergodic capacity of the proposed scheme, derived by analyzing the statistics of CSI, which provides useful insights for practical design.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Electrical Engineering. Volume 1081
ISBN
978-981-9987-02-3
ISSN
1876-1100
e-ISSN
1876-1119
Number of pages
13
Pages from-to
719-731
Publisher name
Springer
Place of publication
Singapur
Event location
Ho Či Minovo město
Event date
Dec 8, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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