IRS-Enhanced Energy Detection for Spectrum Sensing in Cognitive Radio Networks

Article Telecommunications

Coverage Probability and Ergodic Capacity of Intelligent Reflecting Surface-Enhanced Communication Systems

Trinh Van Chien et al.

Summary: This study investigates the performance of a single-input single-output system enhanced by an intelligent reflecting surface under Rayleigh fading channels. Closed-form expression of coverage probability as a function of statistical channel information is computed, along with the scaling law of coverage probability and phase shifts. The derived ergodic capacity provides a simple upper bound for long-term applications, demonstrating the effectiveness compared to Monte-Carlo simulations.

IEEE COMMUNICATIONS LETTERS (2021)

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Article Engineering, Electrical & Electronic

Intelligent Reflecting Surface-Assisted Cognitive Radio System

Jie Yuan et al.

Summary: This study introduces multiple intelligent reflecting surfaces into a CR system to improve spectral efficiency and energy efficiency. By optimizing the transmitter beamforming and reflector coefficients, the achievable rate of secondary users is maximized. The results show that intelligent reflecting surfaces can significantly improve the achievable rate of secondary users under perfect and imperfect channel state information cases.

IEEE TRANSACTIONS ON COMMUNICATIONS (2021)

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Article Engineering, Electrical & Electronic

Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial

Qingqing Wu et al.

Summary: Intelligent reflecting surface (IRS) is a technology that can alter wireless signal propagation in wireless networks by dynamically changing wireless channels to enhance communication performance. The future hybrid wireless network aided by IRS, comprising both active and passive components, is expected to achieve sustainable capacity growth cost-effectively.

IEEE TRANSACTIONS ON COMMUNICATIONS (2021)

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Article Computer Science, Information Systems

Deep Transfer Cooperative Sensing in Cognitive Radio

Lusi Li et al.

Summary: The proposed approach introduces a deep transfer cooperative sensing framework that enhances the generalization capability and robustness of the framework.

IEEE WIRELESS COMMUNICATIONS LETTERS (2021)

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Article Engineering, Electrical & Electronic