Scholarlink

<p>Ubiquitous connectivity will be a cornerstone of next-generation wireless systems, demanding comprehensive network coverage—a challenge compounded by the severe propagation losses. Intelligent reflecting surface (IRS) emerges as a transformative solution, and the adaptation of multiple IRSs with the selection combining scheme can ensure the connectivity along with an additional degree of freedom. With this motivation, this work maximize the information rate by selecting the best IRS panel, with jointly optimizing passive beamforming and reliably transmitting both the dedicated user information and IRS information in the form of ON/OFF state. To make the analysis closer to reality, we employed correlated channels and assumed the direct channel to be blocked. We employed semi-definite relaxation (SDR) algorithm to obtain the passive beamforming of IRS to attain maximum information rate, and dual step detection process, namely singular value decomposition (SVD) and generalized approximate message passing (GAMP), to decode user information and IRS information, respectively. The performance analysis of the proposed system model is done using the bit error rate (BER), the ergodic capacity (EC), spectral efficiency (SE), and energy efficiency (EE) metrics. The simulation results substantiate that with the increasing number of IRS panels, the probability of establishing a stronger virtual line of sight (LoS) link also improves, which leads to an improvement in capacity by <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(6\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>6</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation> with respect to an increase in transmit power. Furthermore, increasing the ON state of reflecting elements results in the SE improvement by <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(1\%-4\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>1</mn> <mo>%</mo> <mo>-</mo> <mn>4</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation>.</p>

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IRS Selection for Passive Beamforming and Information Transmission

  • 期刊论文

  • 发表日期：

    2026年3月23日

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  • Mahima Chaudhary,
  • Shravan Kumar Bandari

摘要

Ubiquitous connectivity will be a cornerstone of next-generation wireless systems, demanding comprehensive network coverage—a challenge compounded by the severe propagation losses. Intelligent reflecting surface (IRS) emerges as a transformative solution, and the adaptation of multiple IRSs with the selection combining scheme can ensure the connectivity along with an additional degree of freedom. With this motivation, this work maximize the information rate by selecting the best IRS panel, with jointly optimizing passive beamforming and reliably transmitting both the dedicated user information and IRS information in the form of ON/OFF state. To make the analysis closer to reality, we employed correlated channels and assumed the direct channel to be blocked. We employed semi-definite relaxation (SDR) algorithm to obtain the passive beamforming of IRS to attain maximum information rate, and dual step detection process, namely singular value decomposition (SVD) and generalized approximate message passing (GAMP), to decode user information and IRS information, respectively. The performance analysis of the proposed system model is done using the bit error rate (BER), the ergodic capacity (EC), spectral efficiency (SE), and energy efficiency (EE) metrics. The simulation results substantiate that with the increasing number of IRS panels, the probability of establishing a stronger virtual line of sight (LoS) link also improves, which leads to an improvement in capacity by \(6\%\) 6 % with respect to an increase in transmit power. Furthermore, increasing the ON state of reflecting elements results in the SE improvement by \(1\%-4\%\) 1 % - 4 % .