Scholarlink

<p>Intelligent Reflective Surfaces (IRS) have drawn a lot of attention lately from the educational and business communities because of the way easily and affordably they can modify the frequency and phase of electromagnetic signals using cheap passive illustrating components. Specifically, numerous IRS aided methods are being put forth to enhance 6G communication platforms speed of data and energy consumption. In order to improve physical-layer security (PS) for a time-division duplex (TDD) the downstream link mobile data wire-tap system, that includes just a single base station that has several antennas for connectivity, numerous proper user devices, multiple listening devices, and numerous IRS, propose a novel IRS-based channel randomization (ICR) methods in this paper. Because of the propagation features of tetra-hertz range bands that could be used in 6G cellular networks, we assume that only a proximity channel exists between the BS, the IRS, and the UE. The suggested method uses the multiple representation matrices that each IRS randomly generates at the beginning to determine the data spread length in the downlink and the test signal length in the uplink. The BS then uses the reflection matrices of all IRS to estimate the wireless networks of each user equipment (UE) and chooses the UE with the biggest privacy rate for each generated representation matrix. This study demonstrates that, in terms of feasible privacy rates, the suggested technique performs better than the traditional methods.</p>

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

Enhancing Physical-Layer Protection for 6G Wireless Communication Systems Through Reconfigurable Intelligent Surfaces

  • 期刊论文

  • 发表日期：

    2025年7月21日

查看全文
  • P. Tharaniya,
  • M. Vijaya Lakshmi,
  • Dipankar Sarkar,
  • Padmavathi Vurubindi,
  • P. K. Rajani,
  • Dwaipayan Ghosh

摘要

Intelligent Reflective Surfaces (IRS) have drawn a lot of attention lately from the educational and business communities because of the way easily and affordably they can modify the frequency and phase of electromagnetic signals using cheap passive illustrating components. Specifically, numerous IRS aided methods are being put forth to enhance 6G communication platforms speed of data and energy consumption. In order to improve physical-layer security (PS) for a time-division duplex (TDD) the downstream link mobile data wire-tap system, that includes just a single base station that has several antennas for connectivity, numerous proper user devices, multiple listening devices, and numerous IRS, propose a novel IRS-based channel randomization (ICR) methods in this paper. Because of the propagation features of tetra-hertz range bands that could be used in 6G cellular networks, we assume that only a proximity channel exists between the BS, the IRS, and the UE. The suggested method uses the multiple representation matrices that each IRS randomly generates at the beginning to determine the data spread length in the downlink and the test signal length in the uplink. The BS then uses the reflection matrices of all IRS to estimate the wireless networks of each user equipment (UE) and chooses the UE with the biggest privacy rate for each generated representation matrix. This study demonstrates that, in terms of feasible privacy rates, the suggested technique performs better than the traditional methods.