Search Results for author: Mehdi Naderi Soorki

Found 5 papers, 0 papers with code

Joint User Association and UAV Location Optimization for Two-Tired Visible Light Communication Networks

no code implementations2 Jun 2023 Alireza Qazavi, Foroogh S Tabataba, Mehdi Naderi Soorki

For network, the optimization problem of joint user association and deployment location of UAVs is formulated to maximize the received data, satisfy illumination constraint, and the user cluster size.

Dynamic Reflections: Optimizing Energy Efficiency in Multi-IRS Empowered Green Networks

no code implementations14 Feb 2023 Alireza Qazavi Khorasgani, Foroogh S. Tabataba, Mehdi Naderi Soorki, Mohammad Sadegh Fazel

Utilizing a fractional programming (FP) approach for AP beamforming and Simulated Annealing (SA) for IRS subproblems, we achieve a suboptimum optimal solution.

Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces

no code implementations31 Mar 2021 Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Choong Seon Hong

Simulation results show that the error between policies of the optimal and the RNN-based controllers is less than 1. 5%.

Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing

no code implementations15 Feb 2021 Christina Chaccour, Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Petar Popovski, Merouane Debbah

Based on these fundamentals, we characterize seven unique defining features of THz wireless systems: 1) Quasi-opticality of the band, 2) THz-tailored wireless architectures, 3) Synergy with lower frequency bands, 4) Joint sensing and communication systems, 5) PHY-layer procedures, 6) Spectrum access techniques, and 7) Real-time network optimization.

Information Theory Information Theory

Resource Allocation for mmWave-NOMA Communication through Multiple Access Points Considering Human Blockages

no code implementations27 May 2020 Foad Barghikar, Foroogh S. Tabataba, Mehdi Naderi Soorki

To maximize the network sum rate, the resource allocation problem is formulated as a mixed integer non-linear programming, which is NP-hard in general.

Scheduling

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