Search Results for author: Mohammad Shikh-Bahaei

Found 9 papers, 0 papers with code

AoA-Based Pilot Assignment in Massive MIMO Systems Using Deep Reinforcement Learning

no code implementations25 Mar 2021 Yasaman Omid, Seyed MohammadReza Hosseini, Seyyed MohammadMahdi Shahabi, Mohammad Shikh-Bahaei, Arumugam Nallanathan

Numerical results illustrate that the DRL-based scheme is able to track the changes in the environment, learn the near-optimal pilot assignment, and achieve a close performance to that of the optimum pilot assignment performed by exhaustive search, while maintaining a low computational complexity.

Beamforming Design for Multiuser Transmission Through Reconfigurable Intelligent Surface

no code implementations24 Sep 2020 Zhaohui Yang, Wei Xu, Chongwen Huang, Jianfeng Shi, Mohammad Shikh-Bahaei

To solve this problem, a dual method is proposed, where the dual problem is obtained as a semidefinite programming problem.

Delay Minimization for Federated Learning Over Wireless Communication Networks

no code implementations5 Jul 2020 Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

In this paper, the problem of delay minimization for federated learning (FL) over wireless communication networks is investigated.

Federated Learning

Cooperative Rate-Splitting for Secrecy Sum-Rate Enhancement in Multi-antenna Broadcast Channels

no code implementations3 Jun 2020 Ping Li, Ming Chen, Yijie Mao, Zhaohui Yang, Bruno Clerckx, Mohammad Shikh-Bahaei

In this paper, we employ Cooperative Rate-Splitting (CRS) technique to enhance the Secrecy Sum Rate (SSR) for the Multiple Input Single Output (MISO) Broadcast Channel (BC), consisting of two legitimate users and one eavesdropper, with perfect Channel State Information (CSI) available at all nodes.

Reflections in the Sky: Joint Trajectory and Passive Beamforming Design for Secure UAV Networks with Reconfigurable Intelligent Surface

no code implementations21 May 2020 Hui Long, Ming Chen, Zhaohui Yang, Bao Wang, Zhiyang Li, Xu Yun, Mohammad Shikh-Bahaei

This paper investigates the problem of secure energy efficiency maximization for a reconfigurable intelligent surface (RIS) assisted uplink wireless communication system, where an unmanned aerial vehicle (UAV) equipped with an RIS works as a mobile relay between the base station (BS) and a group of users.

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

no code implementations1 May 2020 Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

In this network, multiple RISs are spatially distributed to serve wireless users and the energy efficiency of the network is maximized by dynamically controlling the on-off status of each RIS as well as optimizing the reflection coefficients matrix of the RISs.

Machine Learning for Predictive Deployment of UAVs with Multiple Access

no code implementations2 Mar 2020 Linyan Lu, Zhaohui Yang, Mingzhe Chen, Zelin Zang, Mohammad Shikh-Bahaei

In this paper, a machine learning based deployment framework of unmanned aerial vehicles (UAVs) is studied.

Traffic Prediction

Energy Efficient Federated Learning Over Wireless Communication Networks

no code implementations6 Nov 2019 Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei

To solve this problem, 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.

Federated Learning

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