Ergodic performance analysis of intelligent reflecting surface network with phase errors
This paper investigates the performance of using multiple intelligent reflecting surface (IRS)-assisted communication as compared to the hybrid approach. We demonstrate that for practical scenarios with a limited amount of radiated power, the performance can be significantly enhanced by increasing n...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-08-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959523000061 |
| _version_ | 1797737358594932736 |
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| author | Fazal-E-Asim Arjun Chakravarthi Pogaku Anh-Tu Le Nhan Duc Nguyen |
| author_facet | Fazal-E-Asim Arjun Chakravarthi Pogaku Anh-Tu Le Nhan Duc Nguyen |
| author_sort | Fazal-E-Asim |
| collection | DOAJ |
| description | This paper investigates the performance of using multiple intelligent reflecting surface (IRS)-assisted communication as compared to the hybrid approach. We demonstrate that for practical scenarios with a limited amount of radiated power, the performance can be significantly enhanced by increasing numbers of IRS. Upper bounds are derived for multiple IRSs using both ideal and quantization phase errors over different channel environments. The proposed method having multiple-IRSs is validated for both Rician and Rayleigh fading scenarios, including ideal and quantization phase errors. The proposed method shows a significant improvement in terms of achievable rate by increasing number of IRS over hybrid IRS-relay scheme. A degradation in performance is observed by assuming phase quantization errors. Finally, it is demonstrated that increasing number of reflecting elements improve the achievable rate, but gets saturate with further increase in the number of reflecting elements. |
| first_indexed | 2024-03-12T13:27:33Z |
| format | Article |
| id | doaj.art-80b3446a588e4f069f2b0954d15cedbd |
| institution | Directory Open Access Journal |
| issn | 2405-9595 |
| language | English |
| last_indexed | 2024-03-12T13:27:33Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj.art-80b3446a588e4f069f2b0954d15cedbd2023-08-25T04:24:27ZengElsevierICT Express2405-95952023-08-0194595600Ergodic performance analysis of intelligent reflecting surface network with phase errors Fazal-E-Asim0Arjun Chakravarthi Pogaku1Anh-Tu Le2Nhan Duc Nguyen3Department of Teleinformatics Engineering, Federal University of Ceará, BrazilDepartment of Computer Science and Information Engineering, College of Information and Electrical Engineering, Asia University, Taichung city 41354, TaiwanFaculty of Electronics Technology, Industrial University of Ho Chi Minh City (IUH), Ho Chi Minh City 700000, Viet NamFaculty of Mechanical - Electrical and Computer Engineering, School of Engineering and Technology, Van Lang University, 69/68 Dang Thuy Tram Street, Ward 13, Binh Thanh District, 70000 Ho Chi Minh City, Viet Nam; Corresponding author.This paper investigates the performance of using multiple intelligent reflecting surface (IRS)-assisted communication as compared to the hybrid approach. We demonstrate that for practical scenarios with a limited amount of radiated power, the performance can be significantly enhanced by increasing numbers of IRS. Upper bounds are derived for multiple IRSs using both ideal and quantization phase errors over different channel environments. The proposed method having multiple-IRSs is validated for both Rician and Rayleigh fading scenarios, including ideal and quantization phase errors. The proposed method shows a significant improvement in terms of achievable rate by increasing number of IRS over hybrid IRS-relay scheme. A degradation in performance is observed by assuming phase quantization errors. Finally, it is demonstrated that increasing number of reflecting elements improve the achievable rate, but gets saturate with further increase in the number of reflecting elements.http://www.sciencedirect.com/science/article/pii/S2405959523000061Intelligent reflecting surfaceErgodic capacityQuantization phase errors |
| spellingShingle | Fazal-E-Asim Arjun Chakravarthi Pogaku Anh-Tu Le Nhan Duc Nguyen Ergodic performance analysis of intelligent reflecting surface network with phase errors ICT Express Intelligent reflecting surface Ergodic capacity Quantization phase errors |
| title | Ergodic performance analysis of intelligent reflecting surface network with phase errors |
| title_full | Ergodic performance analysis of intelligent reflecting surface network with phase errors |
| title_fullStr | Ergodic performance analysis of intelligent reflecting surface network with phase errors |
| title_full_unstemmed | Ergodic performance analysis of intelligent reflecting surface network with phase errors |
| title_short | Ergodic performance analysis of intelligent reflecting surface network with phase errors |
| title_sort | ergodic performance analysis of intelligent reflecting surface network with phase errors |
| topic | Intelligent reflecting surface Ergodic capacity Quantization phase errors |
| url | http://www.sciencedirect.com/science/article/pii/S2405959523000061 |
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