Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis
TeraHertz (THz) wireless communication has emerged as a front-line technology for substantially improving the data rates for 6G networks. However, they suffer from tremendous path-attenuation that limits the communication distance. Intelligent reflecting surface (IRS) is an excellent cost-effective...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/179677 |
| _version_ | 1811678670553612288 |
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| author | Premanand, Rithwik Sharma, Shubha Vishwakarma, Narendra Singh, Ranjan Madhukumar, A. S. |
| author2 | College of Computing and Data Science |
| author_facet | College of Computing and Data Science Premanand, Rithwik Sharma, Shubha Vishwakarma, Narendra Singh, Ranjan Madhukumar, A. S. |
| author_sort | Premanand, Rithwik |
| collection | NTU |
| description | TeraHertz (THz) wireless communication has emerged as a front-line technology for substantially improving the data rates for 6G networks. However, they suffer from tremendous path-attenuation that limits the communication distance. Intelligent reflecting surface (IRS) is an excellent cost-effective technology for enabling THz wireless systems. This paper presents comprehensive analysis of an IRS-empowered THz system, incorporating a detailed channel model encompassing deterministic IRS channel gain, THz molecular absorption losses, and the characteristics of sum of double α-μ fading. The analysis considers IRS-specific parameters such as unit-cell dimensions, gain, radiation pattern, and array factor, for accurate received signal power characterization. For statistical analysis, the probability density function, cumulative distribution function, and moments are characterized using programmable multi-variate Fox’s H-functions. Using these derived statistical results, the exact closed-form solutions for outage probability, average bit error rate, and ergodic capacity are reported. Additionally, asymptotic approximations are presented for deeper insights. Finally, to validate the accuracy of analytical results, extensive Monte-Carlo simulations are conducted. Multiple results investigate various design aspects of the proposed system. The findings demonstrate that significant performance gains and power savings thereby making THz communication feasible and highly promising for future wireless networks. |
| first_indexed | 2024-10-01T02:56:57Z |
| format | Journal Article |
| id | ntu-10356/179677 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:56:57Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1796772024-08-16T03:14:51Z Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis Premanand, Rithwik Sharma, Shubha Vishwakarma, Narendra Singh, Ranjan Madhukumar, A. S. College of Computing and Data Science School of Physical and Mathematical Sciences Engineering Intelligent reflecting surfaces Terahertz Performance analysis TeraHertz (THz) wireless communication has emerged as a front-line technology for substantially improving the data rates for 6G networks. However, they suffer from tremendous path-attenuation that limits the communication distance. Intelligent reflecting surface (IRS) is an excellent cost-effective technology for enabling THz wireless systems. This paper presents comprehensive analysis of an IRS-empowered THz system, incorporating a detailed channel model encompassing deterministic IRS channel gain, THz molecular absorption losses, and the characteristics of sum of double α-μ fading. The analysis considers IRS-specific parameters such as unit-cell dimensions, gain, radiation pattern, and array factor, for accurate received signal power characterization. For statistical analysis, the probability density function, cumulative distribution function, and moments are characterized using programmable multi-variate Fox’s H-functions. Using these derived statistical results, the exact closed-form solutions for outage probability, average bit error rate, and ergodic capacity are reported. Additionally, asymptotic approximations are presented for deeper insights. Finally, to validate the accuracy of analytical results, extensive Monte-Carlo simulations are conducted. Multiple results investigate various design aspects of the proposed system. The findings demonstrate that significant performance gains and power savings thereby making THz communication feasible and highly promising for future wireless networks. Info-communications Media Development Authority (IMDA) National Research Foundation (NRF) This research is supported by the National Research Foundation, Singapore, under its Competitive Research Programme (NRF-CRP23-2019-0005), and the National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme (FCP-NTU-RG-2022-014). 2024-08-16T03:14:51Z 2024-08-16T03:14:51Z 2024 Journal Article Premanand, R., Sharma, S., Vishwakarma, N., Singh, R. & Madhukumar, A. S. (2024). Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis. IEEE Internet of Things Journal. https://dx.doi.org/10.1109/JIOT.2024.3441035 2327-4662 https://hdl.handle.net/10356/179677 10.1109/JIOT.2024.3441035 2-s2.0-85200809744 en NRF-CRP23-2019-0005 FCP-NTU-RG-2022-014 IEEE Internet of Things Journal © 2024 IEEE. All rights reserved. |
| spellingShingle | Engineering Intelligent reflecting surfaces Terahertz Performance analysis Premanand, Rithwik Sharma, Shubha Vishwakarma, Narendra Singh, Ranjan Madhukumar, A. S. Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis |
| title | Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis |
| title_full | Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis |
| title_fullStr | Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis |
| title_full_unstemmed | Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis |
| title_short | Intelligent reflecting surfaces empowered TeraHertz wireless communication: system modeling and performance analysis |
| title_sort | intelligent reflecting surfaces empowered terahertz wireless communication system modeling and performance analysis |
| topic | Engineering Intelligent reflecting surfaces Terahertz Performance analysis |
| url | https://hdl.handle.net/10356/179677 |
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