Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading
Intelligent reflecting surface (IRS) technology is a promising solution for addressing the limitations of terahertz (THz) systems, including blockage effects and tremendous path loss. This paper investigates a novel IRS-assisted hybrid framework that seamlessly combines both THz and radio frequency...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/180158 |
| _version_ | 1811697742319190016 |
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| author | Premanand, Rithwik Vishwakarma, Narendra Singh, Ranjan Madhukumar, A. S. |
| author2 | College of Computing and Data Science |
| author_facet | College of Computing and Data Science Premanand, Rithwik Vishwakarma, Narendra Singh, Ranjan Madhukumar, A. S. |
| author_sort | Premanand, Rithwik |
| collection | NTU |
| description | Intelligent reflecting surface (IRS) technology is a promising solution for addressing the limitations of terahertz (THz) systems, including blockage effects and tremendous path loss. This paper investigates a novel IRS-assisted hybrid framework that seamlessly combines both THz and radio frequency (RF) technologies using a selection combining (SC) scheme, thereby enhancing system reliability. The study incorporates the deterministic and statistical properties of IRS in both RF and THz domains employing a sophisticated spatial scattering chan-nel model across generalized α - µ fading channels. Specifically, the exact closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the output signal-to-noise ratio (SNR) are derived for both THz and RF links. From this, the outage probability and average symbol error rate (SER) are derived. Furthermore, asymptotic expressions are evaluated for outage and average SER, offering insights into diversity gain of the system. Simulation results reveal a significant enhancement in system performance and power savings for the proposed IRS-aided hybrid THz/RF system. These findings provide valuable insights into the practical implementation of IRS-assisted hybrid networks, contributing to the ongoing efforts for future wireless networks. |
| first_indexed | 2024-10-01T08:00:05Z |
| format | Conference Paper |
| id | ntu-10356/180158 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T08:00:05Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1801582024-09-23T06:14:49Z Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading Premanand, Rithwik Vishwakarma, Narendra Singh, Ranjan Madhukumar, A. S. College of Computing and Data Science IEEE International Conference on Communications (ICC 2024) Engineering Intelligent reflecting surface Terahertz Intelligent reflecting surface (IRS) technology is a promising solution for addressing the limitations of terahertz (THz) systems, including blockage effects and tremendous path loss. This paper investigates a novel IRS-assisted hybrid framework that seamlessly combines both THz and radio frequency (RF) technologies using a selection combining (SC) scheme, thereby enhancing system reliability. The study incorporates the deterministic and statistical properties of IRS in both RF and THz domains employing a sophisticated spatial scattering chan-nel model across generalized α - µ fading channels. Specifically, the exact closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the output signal-to-noise ratio (SNR) are derived for both THz and RF links. From this, the outage probability and average symbol error rate (SER) are derived. Furthermore, asymptotic expressions are evaluated for outage and average SER, offering insights into diversity gain of the system. Simulation results reveal a significant enhancement in system performance and power savings for the proposed IRS-aided hybrid THz/RF system. These findings provide valuable insights into the practical implementation of IRS-assisted hybrid networks, contributing to the ongoing efforts 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). 2024-09-23T06:14:49Z 2024-09-23T06:14:49Z 2024 Conference Paper Premanand, R., Vishwakarma, N., Singh, R. & Madhukumar, A. S. (2024). Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading. IEEE International Conference on Communications (ICC 2024), 5534-5539. https://dx.doi.org/10.1109/ICC51166.2024.10622184 978-1-7281-9054-9 1938-1883 https://hdl.handle.net/10356/180158 10.1109/ICC51166.2024.10622184 5534 5539 en NRF-CRP23-2019-0005 FCP-NTU-RG-2022-014 © 2024 IEEE. All rights reserved. |
| spellingShingle | Engineering Intelligent reflecting surface Terahertz Premanand, Rithwik Vishwakarma, Narendra Singh, Ranjan Madhukumar, A. S. Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading |
| title | Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading |
| title_full | Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading |
| title_fullStr | Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading |
| title_full_unstemmed | Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading |
| title_short | Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading |
| title_sort | intelligent reflecting surfaces assisted hybrid thz rf system over generalized fading |
| topic | Engineering Intelligent reflecting surface Terahertz |
| url | https://hdl.handle.net/10356/180158 |
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