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Mohammad Shikh-Bahaei

Researcher at King's College London

Publications -  190
Citations -  3861

Mohammad Shikh-Bahaei is an academic researcher from King's College London. The author has contributed to research in topics: Spectral efficiency & Wireless network. The author has an hindex of 26, co-authored 182 publications receiving 2506 citations. Previous affiliations of Mohammad Shikh-Bahaei include National Semiconductor & Northumbria University.

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Journal ArticleDOI

Energy Efficient Federated Learning Over Wireless Communication Networks

TL;DR: An iterative algorithm is proposed where, at every step, closed-form solutions for time allocation, bandwidth allocation, power control, computation frequency, and learning accuracy are derived and can reduce up to 59.5% energy consumption compared to the conventional FL method.
Proceedings ArticleDOI

Interference cancellation in W-CDMA cellular structures using statistical processing

TL;DR: A mathematical model for the process is presented and the relative asymptotic efficiency of the detector with respect to the conventional linear detector is computed and some numerical results are provided to show the achievable enhancement by the proposed nonlinear processing as applied to UMTS-based receivers.
Journal ArticleDOI

Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks

TL;DR: A low-complexity algorithm with solving three subproblems iteratively of the sum power minimization problem via jointly optimizing user association, power control, computation capacity allocation, and location planning in a mobile edge computing (MEC) network with multiple unmanned aerial vehicles (UAVs).
Journal ArticleDOI

Energy Efficient UAV Communication With Energy Harvesting

TL;DR: This paper investigates an unmanned aerial vehicle (UAV)-enabled wireless communication system with energy harvesting, where the UAV transfers energy to the users in half duplex or full duplex, and the users harvest energy for data transmission to the Uav.
Posted Content

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

TL;DR: Simulation results show that the proposed scheme achieves up to 33\% and 68\% gains in terms of the energy efficiency in both single-user and multi-user cases compared to the conventional RIS scheme and amplify-and-forward relay scheme, respectively.