کنفرانس مهندسی برق ایران

صفحه اصلی / سی امین کنفرانس بین المللی مهندسی برق

Improved Spectral Efficiency of RIS-aided 6G Communication using Deep Learning

نویسندگان :

Zahra Zahedi¹ Mehrdad Ardebilipur² Fatemeh Dehrouye³

1- دانشگاه صنعتی خواجه نصیرالدین طوسی 2- دانشگاه صنعتی خواجه نصیرالدین طوسی 3- دانشگاه صنعتی خواجه نصیرالدین طوسی

کلمات کلیدی :

Keywords—RIS, Deep Learning, Spectral Efficiency, Passive Beamforming, 6G wireless communication

چکیده :

Abstract— Due to uncontrollable interactions of the transmitted signal with the adjacent objects, which diminish the quality of the received signal, wireless signal designers have adopted Reconfigurable Intelligent Surface (RIS) to overcome this challenge. The possibility of suitably designing phase shifts applied by each reflecting element, has made the RIS attractive technology. This capability conduces to gainful combination of each reflected signal and thus higher spectral efficiency, without any power amplifier. Motivated by the potential of deep learning (DL), the present article is aimed to propose a neural network for passive beamforming design of RIS-assisted systems in 6G wireless communication. DL-based beamformer indeed try to maximize the spectral efficiency(SE). Simulation results signify the superb SE enhancement in low signal to noise ratio (SNR) with the use of DL-based approach.