Optimising multi‐user wireless networks through discrete Fourier transform‐based channel estimation with cascaded intelligent reflecting surfaces
| Title: | Optimising multi‐user wireless networks through discrete Fourier transform‐based channel estimation with cascaded intelligent reflecting surfaces |
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| Authors: | Sakhshra Monga, Nitin Saluja, Chander Prabha, Roopali Garg, Anupam Kumar Bairagi, Md. Mehedi Hassan |
| Source: | IET Wireless Sensor Systems, Vol 14, Iss 4, Pp 144-156 (2024) |
| Publisher Information: | Wiley, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Telecommunication |
| Subject Terms: | broadband networks, channel estimation, network coding, wireless channels, Telecommunication, TK5101-6720 |
| More Details: | Abstract Wireless communication systems are inherently challenged by factors such as fading, path loss, and shadowing, leading to potential errors in data transmission. Traditional methods to mitigate these issues include power control, diversification, variable beamforming, and modulation techniques. However, the unpredictable nature of the wireless medium often limits their effectiveness. A new approach to address these challenges is the implementation of cascaded intelligent reflecting surfaces (IRS). IRS systems consist of multiple passive elements that intelligently reflect electromagnetic waves, thereby enhancing signal quality. The Advanced Discrete Fourier Transform (ADFT) matrix scheme is explored in channel estimation, a novel method particularly suitable for wireless networks utilising cascaded IRS. The ADFT matrix scheme is significant for its efficiency in managing the common‐link configuration of cascading channel coefficients, which effectively reduces pilot overhead. When compared to traditional channel estimation methods like the Least Square|least squares, Maximal a posteriori probability, and Linear Minimum Mean Square Error, the ADFT matrix scheme exhibits superior performance. It achieves a remarkable reduction in normalised mean squared error (NMSE) – 66% and 80% at 20 dB and 15 dB Signal to‐Noise Ratios (SNR), respectively. Furthermore, increasing the pilot length correlates with enhanced NMSE performance, with a noted 33% improvement as the base station distance increases. Simulations demonstrate that with an escalation in the number of IRS elements and SNR, the ADFT matrix scheme consistently surpasses conventional methods. This advancement represents a significant leap in the field of wireless communication technology. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2043-6394 2043-6386 |
| Relation: | https://doaj.org/toc/2043-6386; https://doaj.org/toc/2043-6394 |
| DOI: | 10.1049/wss2.12081 |
| Access URL: | https://doaj.org/article/80eaa0882f22483986e2a30993aa1563 |
| Accession Number: | edsdoj.80eaa0882f22483986e2a30993aa1563 |
| Database: | Directory of Open Access Journals |
| ISSN: | 20436394 20436386 |
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| DOI: | 10.1049/wss2.12081 |
| Published in: | IET Wireless Sensor Systems |
| Language: | English |