43 citations · 117 across the 48 of their papers we have counts for
6 papers · 1 filter
Encoder-Sharing Hierarchical Federated Multi-Task Learning for VANETs
M. Saeid HaghighiFard, Sinem Coleri
Most federated learning frameworks for vehicular ad hoc networks assume that all vehicles collaboratively train a single model for a common task. This assumption limits their appli…
Reliability- and Connectivity-Constrained Age-of-Information Optimization for UAV Swarm IoT Data Collection
Milad Bafarassat, Sinem Coleri
Uncrewed aerial vehicle~(UAV) swarms provide a flexible platform for Internet of Things~(IoT) data collection by gathering delay-sensitive measurements from distributed sensor clus…
Meta-Transfer Learning for mmWave Beam Alignment
Ahmet Nuri Cevik, Sinem Coleri
Millimeter-wave (mmWave) beam alignment is critical for next-generation wireless systems, but existing approaches either update all parameters during adaptation or restrict updates…
AI-Based KPI Prediction Methods in Future 6G Networks: A Survey
Niloofar Mehrnia, Gourav Prateek Sharma, Samie Mostafavi +4
The evolution from 5G to 5G-Advanced and the vision of 6G demand unprecedented levels of network performance, in which meeting stringent network Key Performance Indicators (KPIs),…
Resource-Efficient CSI Prediction: A Gated Fusion and Factorized Projection Approach
Mohammad Hussain, Maedeh Adibag, Dilara Gurer +3
Accurate Channel State Information (CSI) prediction is essential for dynamic multiple-input multiple-output (MIMO) systems but remains computationally demanding. This letter propos…
EVT-Based Generative AI for Tail-Aware Channel Estimation
Parmida Valiahdi, Niloofar Mehrnia, Walid Saad +1
Ultra-reliable and low-latency communication (URLLC) will play a key role in fifth-generation (5G) and beyond networks, enabling mission-critical applications. Meeting the stringen…