Journals / Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi / 2026 / Cilt: 10 Sayı: 1

Analysis of RIS Transmitter Systems Using Dual-Branch Selection Combining Technique with AWGGN

İki Kollu Seçme Birleştirme Tekniğini Kullanan RIS Verici Sistemlerin AWGGN Analizi

Damla Gümüş(NUH NACİ YAZGAN ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ)0000-0002-0734-5066
Mehmet Bilim(NUH NACİ YAZGAN ÜNİVERSİTESİ)0000-0003-2518-3125
Pages
68–75
Publication Date
2023-05-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of the analysis, an approximate error expression was derived and various scenarios were presented with different system parameter values.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, error analysis of a reconfigurable intelligence surface assisted dual-branch selection combining communication system with additive white generalized Gaussian noise conditions is investigated.
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Key Findings & Data:The considered system model is assumed to be in Rayleigh fading channels, and the error analysis is performed based on the probability density function.
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Conclusion & Impact:As a result of the analysis, an approximate error expression was derived and various scenarios were presented with different system parameter values.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Uyarlanabilir Akıllı Yüzey · Genelleştirilmiş Gauss Gürültüsü · Hata Analizi

Abstract

In this study, error analysis of a reconfigurable intelligence surface assisted dual-branch selection combining communication system with additive white generalized Gaussian noise conditions is investigated. The considered system model is assumed to be in Rayleigh fading channels, and the error analysis is performed based on the probability density function. As a result of the analysis, an approximate error expression was derived and various scenarios were presented with different system parameter values.

Özet

Bu çalışmada, iki kollu seçme birleştirme tekniğini kullanan uyarlanabilir akıllı yüzey destekli bir haberleşme sisteminin eklenebilir beyaz genelleştirilmiş Gauss gürültüsü koşullarında hata analizi incelenmiştir. Ele alınan sistem modelinin Rayleigh sönümlü kanallarda olduğu varsayılmış ve hata analizi olasılık yoğunluk fonksiyonu temel alınarak gerçekleştirilmiştir. Yapılan analiz sonucunda yaklaşık bir hata ifadesi türetilmiş ve farklı sistem parametre değerleri ile çeşitli senaryolar sunulmuştur.

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Cite This Article

Gümüş, D., Bilim, M. (2023). Analysis of RIS Transmitter Systems Using Dual-Branch Selection Combining Technique with AWGGN. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, Cilt: 10 Sayı: 1, 68–75. https://doi.org/10.35193/bseufbd.1140195

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References (18)

  1. Ma, H., Zhang, H., Zhang, N., Wang, J., Wang N., & Leung, V. C. M. (2022). Reconfigurable intelligent surface with energy harvesting assisted cooperative ambient back scatter communications, IEEE Wireless Communications Letters, 11(6), 1283-1287.
  2. H. Du et al., (2022). Performance and optimization of reconfigurable intelligent surface aided THz communications, IEEE Transactions on Communications, 70(5), 3575-3593.
  3. Basar, E., DiRenzo, M., De Rosny, J., Debbah, M., Alouini, M.-S., & Zhang, R. (2019). Wireless communications through reconfigurable intelligent surfaces, IEEE Access, 7, 116753-116773.
  4. Yang, L. et al., (2020). Accurate closed-form approximations to channel distributions of RIS-aided wireless systems, IEEE Wireless Communications Letters, 9(11), 1985-1989.
  5. Mao S. et al., (2022). Reconfigurable intelligent surface-assisted secure mobile edge computing networks, IEEE Transactions on Vehicular Technology, 71(6), 6647-6660.
  6. Faisal K. M. & Choi, W. (2022). Machine learning approaches for reconfigurable intelligent surfaces: a survey, IEEE Access, 10, 27343-27367.
  7. Khatalin S. (2009). Performance of dual-branch selection combining diversity systems in non-identical Nakagami-q (Hoyt) fading channels, IET Communications, 4(5), 585-595.
  8. Bilim, M. (2021). Dual-branch SC wireless systems with HQAM for beyond 5G over η-μ fading channels, Peer-to-Peer Networking and Applications, 14(1), 305-318.
  9. Bilim M. & Kapucu, N. (2020). Error analysis of dual-branch sımo systems over λ-μ fading channels, 2020 28th Signal Processing and Communications Applications Conference (SIU), 1-4.
  10. DiRenzo M. & Lu, W. (2015). On thediversity order of selection combining dual-branch dual-hop AF relaying in a Poisson field of ınterferers at the destination, IEEE Transactions on Vehicular Technology, 64(4), 1620-1628.
  11. Haghani S. & Beaulieu, N. C. (2009). On decorrelation in dual-branch diversity systems, IEEE Transactions on Communications, 57(7), 2138-2147.
  12. Du, Z., Cheng J. & Beaulieu, N. C. (2008). Asymptotic error rate analysis of dual-branch diversity over correlated Rician channels, IEEE Transactions on Communications, 56,4, 527-530.
  13. Zhu B. & Cheng, J. (2019). Asymptotic outage analysis on dual-branch diversity receptions over non-ıdentically distributed correlated lognormal channels, IEEE Transactions on Communications, 67(10), 7126-7138.
  14. Salahat, E. & Hakam, A. (2014). Novel unified expressions for error rates and ergodic channel capacity analysis over generalized fading subjectto AWGGN, IEEE Global Communications Conference, 3976-3982.
  15. Bilim, M. (2020). Up link communications with AWGGN over non-homogeneous fading channels, Physical Communication, 39, 101047.
  16. Gümüş D., & Bilim M. (2022). RIS destekli kablosuz bir haberleşme sisteminin AWGGN analizi, 30. Sinyal işleme ve İletişim Uygulamaları Sempozyumu (SIU), 1-4.
  17. Özen, C. & Bilim M. (2022). Kaskat bir sistemin FTR sönümlenmeli kanallarda HQAM performans analizi, NÖHÜ Müh. Bilim. Dergisi, 11(2), 258-263.
  18. Gradshteyn, I. S., & Ryzhik, I. M. (2007). Tables of Integrals, Series and Products, 7th ed., San Diego, CA: Academic.