13 citations · 13 across the 36 of their papers we have counts for
10 papers · 1 filter
Doppler-Aware Meta-Learning for Evolutive STAR-RIS in Cognitive Autonomous Networks
Noha Hassan, Maysa Yaseen, Xavier Fernando +1
In real-time optimization of simultaneous transmission and reflection reconfigurable intelligent surfaces (STAR-RIS), limitations arise due to Doppler effects and reduced adaptatio…
AoI-Driven Hierarchical Learning for Cooperative Resource Sharing in Multi-Operator UAV Networks
Atefeh Hajijamali Arani, Mahyar Shirvanimoghaddam, Abolfazl Mehbodniya +2
Uncrewed aerial vehicle (UAV)-assisted networks provide a versatile paradigm for on-demand connectivity. However, in multi-operator aerial networks (MOANs), the joint optimization…
TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
Mohamad Alkadamani, Halim Yanikomeroglu
Fine-grained mobile traffic demand forecasting is essential for long-term planning of 5G and future 6G networks, including radio upgrades, site densification, backhaul expansion, a…
A Metaheuristic Framework for Optimized HAPS-Aided Localization in Urban Areas
Hongzhao Zheng, Mohamed Atia, Halim Yanikomeroglu
High-altitude platform stations (HAPS), originally designed for communication services, can also provide structured signals of opportunity (SoOP) to augment the global navigation s…
Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces
Noha Hassan, Xavier Fernando, Halim Yanikomeroglu
Reconfigurable intelligent surfaces (RISs) modify signal reflections to enhance wireless communication capabilities. Classical RIS phase optimization is highly non convex and chall…
Quantum Graph Neural Networks for Double-Sided Reconfigurable Intelligent Surface Optimization
Noha Hassan, Xavier Fernando, Halim Yanikomeroglu
As a key enabler for sixth-generation (6G) wireless communications, reconfigurable intelligent surfaces (RISs) provide the flexibility to control signal strength. Nevertheless, opt…
DQN Based Joint UAV Trajectory and Association Planning in NTN Assisted Networks
Afsoon Alidadi Shamsabadi, Cosmas Mwaba, Thomas Nugent +4
Advanced Air Mobility (AAM) has emerged as a key pillar of next-generation transportation systems, encompassing a wide range of uncrewed aerial vehicle (UAV) applications. To enabl…
Two-Phase Cell Switching in 6G vHetNets: Sleeping-Cell Load Estimation and Renewable-Aware Switching Toward NES
Maryam Salamatmoghadasi, Metin Ozturk, Halim Yanikomeroglu
This paper proposes a two phase framework to improve the sustainability in vertical heterogeneous networks that integrate various types of base stations~(BSs), including terrestria…
AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation
Colin Brown, Mohamad Alkadamani, Halim Yanikomeroglu
Accurately forecasting spectrum demand is a key component for efficient spectrum resource allocation and management. With the rapid growth in demand for wireless services, mobile n…
QoS-Aware Energy Optimization via Cell Switching in Heterogeneous Networks
Maryam Salamatmoghadasi, Amir Mehrabian, Halim Yanikomeroglu +1
The growing demand for mobile data services in dense urban areas has intensified the need for energy-efficient radio access networks (RANs) in future 6G systems. In this context, o…