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Secrecy Energy Efficiency Maximization in RIS-Aided Wireless Networks with Statistical CSI

Robert Kuku FotockAgbotiname Lucky ImoizeAlessio ZapponeMarco Di RenzoRoberto GarelloPolytechnic University of Turin

Zenodo (CERN European Organization for Nuclear Research)repository2024

ABI

Annotatsiya

This work studies the problem of secrecy energy efficiency maximization in multi-user wireless networks aided by reconfigurable intelligent surfaces, in which an eavesdropper overhears the uplink communication. A provably convergent optimization algorithm is proposed which optimizes the user’s transmit power, metasurface reflection coefficients, and base station receive filters. The complexity of the proposed method is analyzed and numerical results are provided to show the performance of the proposed optimization method.

Mavzular

Advanced Wireless Communication Technologies Wireless Communication Security Techniques Advanced MIMO Systems Optimization

Identifikatorlar

DOI: 10.5281/zenodo.17734135

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