Scholarlink

This paper presents a comprehensive performance analysis of a Reconfigurable Intelligent Surface (RIS)-assisted 6G communication network that incorporates a decode and forward (DF) relay and selection combining (SC) to enhance communication reliability in challenging environments. In this model, the RIS is strategically deployed to improve signal propagation by dynamically adjusting phase shifts. The DF relay further boosts signal integrity by decoding and re-encoding the transmission. SC is employed at the receiver to select the optimal signal path, maximizing link robustness by exploiting diversity gains across multiple channels. We have derived the closed form expression for average bit error probability (ABEP) using the multi-user Markov chain under a Rayleigh fading environment to demonstrate the benefits of integrating RIS, DF relaying, and SC in high-mobility and dense urban settings. This study provides valuable insights for the number of users, trac intensity, modulation order, and diversity for 6G networks capable of meeting the stringent demands of next-generation wireless communications.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analysis of RIS-Assisted 6G Networks with DF Relay and Selection Combining

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Sahil Kawadse,
  • Atharva Dudhe,
  • Kapish Agrawal,
  • Hemanta Kumar Sahu

摘要

This paper presents a comprehensive performance analysis of a Reconfigurable Intelligent Surface (RIS)-assisted 6G communication network that incorporates a decode and forward (DF) relay and selection combining (SC) to enhance communication reliability in challenging environments. In this model, the RIS is strategically deployed to improve signal propagation by dynamically adjusting phase shifts. The DF relay further boosts signal integrity by decoding and re-encoding the transmission. SC is employed at the receiver to select the optimal signal path, maximizing link robustness by exploiting diversity gains across multiple channels. We have derived the closed form expression for average bit error probability (ABEP) using the multi-user Markov chain under a Rayleigh fading environment to demonstrate the benefits of integrating RIS, DF relaying, and SC in high-mobility and dense urban settings. This study provides valuable insights for the number of users, trac intensity, modulation order, and diversity for 6G networks capable of meeting the stringent demands of next-generation wireless communications.