Halim Yanikomeroglu

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Professor

Carleton University

Canada

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About

Halim Yanikomeroglu is a Professor at Carleton University in Canada. His research interests include advanced communication technologies, specifically focused on 6G systems, satellite networks, and energy-efficient wireless networks. Recent publications highlight his work on immersive communication, hybrid beamforming, and the application of artificial intelligence in wireless communication. He is committed to improving connectivity and efficiency in the evolving landscape of telecommunications.

Recent Grants

Grant: Close

Enabling ultra-reliable and sustainable machine-to-machine communications

Open Date: 2017-01-01

Close Date: 2019-12-31

Grant: Close

Robust Heading and Step Estimation for Indoor Localization

Open Date: 2016-04-01

Close Date: 2017-03-31

Grant: Close

The HetHetNets Framework for 5G+ Wireless Networks: Highly Heterogeneous Traffic, Unprecedented Congestion, and Novel Solutions

Open Date: 2016-04-01

Close Date: 2017-03-31

Grant: Close

Enabling technologies for future software-defined and virtualized wireless networks

Open Date: 2016-04-01

Close Date: 2017-03-31

Grant: Close

OFDM synchronization mechanisms with robustness against jamming

Open Date: 2015-04-01

Close Date: 2016-03-31

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Collaborators (3)

Gunes Karabulut-Kurt

Professeur agrégé

Polytechnique Montréal

CANADA

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Animesh Yadav

Assistant Professor

Ohio State University

UNITED STATES

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YONG LIANG GUAN

Nanyang Technological University (NTU)

SINGAPORE

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Halim Yanikomeroglu

Research Interests

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Contact this professor

About

Recent Grants

Articles (20)

Exploring the 6G Potentials: Immersive, Hyperreliable, and Low-Latency Communication

Guardians of Connectivity: Navigating and Mitigating Nonmalicious Disruptions in Satellite Networks

FTN-Assisted SWIPT-NOMA Design for IoT Wireless Networks: A Paradigm in Wireless Efficiency and Energy Utilization

Adaptive Phase Shifters for Hybrid Beamforming in mmWave Systems

A Novel CNN Based Standalone Detector for Faster-than-Nyquist Signaling

An ML-Assisted OFDM-Based Hemispherical Array Antenna with Hybrid Beamforming for HAPS

Artificial Intelligence, Ambient Backscatter Communication and Non-Terrestrial Networks: A 6G Commixture

Capacity and IAPR Analysis for MIMO Faster-than-Nyquist Signaling with Small Acceleration Factors

Chirped DFT-s-OFDM: A New Single-Carrier Waveform With Enhanced LMMSE Noise Suppression

Enhancing Spectral Efficiency: The Impact of RIS Elements Association on Multi-User Cell-Free Wireless Networks

3D-MIMO Dual Communications in SCMA-Based Secure HetNets

Backhaul-Aware Optimization of UAV Base Station Location and Bandwidth Allocation for Profit Maximization

Beamforming for Maximal Coverage in mmWave Drones: A Reinforcement Learning Approach

Big-Data-Driven and AI-Based Framework to Enable Personalization in Wireless Networks

Low-Complexity Detection for Faster-than-Nyquist Signaling Based on Probabilistic Data Association

Mobility-Assisted Over-the-Air Computation for Backscatter Sensor Networks

On the Error Probability of Cognitive RF-FSO Relay Networks over Rayleigh/EW Fading Channels with Primary-Secondary Interference

Optimal Altitude Selection of Aerial Base Stations to Maximize Coverage and Energy Harvesting Probabilities: A Stochastic Geometry Analysis

Personalized Resource Allocation in Wireless Networks: An AI-Enabled and Big Data-Driven Multi-Objective Optimization

Profit Maximization in 5G+ Networks with Heterogeneous Aerial and Ground Base Stations

Collaborators (3)

Gunes Karabulut-Kurt

Animesh Yadav

YONG LIANG GUAN

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