activity
20192026
most cited3D Trajectory Optimization in UAV-Assisted Cellular Networks Considering Antenna Radiation Pattern and Backhaul Constraint

73 citations · 95 across the 13 of their papers we have counts for

collaborators

16 papers

cs.NI2026

Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks

Hanzhi Yu, Hasan Farooq, Julien Forgeat +4

In this paper, we investigate a novel digital network twin (DNT) assisted deep learning (DL) model training framework. In particular, we consider a physical network where a base st…

cs.LG2025

Through the telecom lens: Are all training samples important?

Shruti Bothe, Illyyne Saffar, Aurelie Boisbunon +3

The rise of AI in telecommunications, from optimizing Radio Access Networks to managing user experience, has sharply increased data volumes and training demands. Telecom data is of…

cs.LG2025

Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles

Ferdous Pervej, Richeng Jin, Md Moin Uddin Chowdhury +3

Privacy-preserving distributed machine learning (ML) and aerial connected vehicle (ACV)-assisted edge computing have drawn significant attention lately. Since the onboard sensors o…

cs.NI2024

Multi-Task Learning as enabler for General-Purpose AI-native RAN

Hasan Farooq, Julien Forgeat, Shruti Bothe +2

The realization of data-driven AI-native architecture envisioned for 6G and beyond networks can eventually lead to multiple machine learning (ML) workloads distributed at the netwo…

eess.SP2022

Mobility State Detection of Cellular-Connected UAVs based on Handover Count Statistics

Md Moin Uddin Chowdhury, Priyanka Sinha, Kim Mahler +1

To ensure reliable and effective mobility management for aerial user equipment (UE), estimating the speed of cellular-connected unmanned aerial vehicles (UAVs) carries critical imp…

eess.SP2022★ 1 cited

Wireless Connectivity and Localization for Advanced Air Mobility Services

Priyanka Sinha, Md Moin Uddin Chowdhury, Ismail Guvenc +2

By serving as an analog to traffic signal lights, communication signaling for drone to drone communications holds the key to the success of advanced air mobility (AAM) in both urba…

eess.SP2021

Ensuring Reliable Connectivity to Cellular-Connected UAVs with Up-tilted Antennas and Interference Coordination

Md Moin Uddin Chowdhury, Ismail Guvenc, Walid Saad +1

To integrate unmanned aerial vehicles (UAVs) in future large-scale deployments, a new wireless communication paradigm, namely, the cellular-connected UAV has recently attracted int…

eess.SP2021★ 4 cited

Base Station Antenna Uptilt Optimization for Cellular-Connected Drone Corridors

Sung Joon Maeng, Md Moin Uddin Chowdhury, İsmail Güvenç +2

The concept of drone corridors is recently getting more attention to enable connected, safe, and secure flight zones in the national airspace. To support beyond visual line of sigh…

cs.NI2020★ 17 cited

A Digital Twin for Reconfigurable Intelligent Surface Assisted Wireless Communication

Baoling Sheen, Jin Yang, Xianglong Feng +1

Reconfigurable Intelligent Surface (RIS) has emerged as one of the key technologies for 6G in recent years, which comprise a large number of low-cost passive elements that can smar…

eess.SP2020

RL-Based Interference Mitigation in Uncoordinated Networks with Partially Overlapping Tones

Mrugen Deshmukh, Md Moin Uddin Chowdhury, Sung Joon Maeng +2

Partially-overlapping tones (POT) are known to help mitigate co-channel interference in uncoordinated multi-carrier networks by introducing intentional frequency offsets (FOs) to t…

eess.SP2020

Mobility Management for Cellular-Connected UAVs: A Learning-Based Approach

Md Moin Uddin Chowdhury, Walid Saad, Ismail Guvenc

The pervasiveness of the wireless cellular network can be a key enabler for the deployment of autonomous unmanned aerial vehicles (UAVs) in beyond visual line of sight scenarios wi…

eess.SY2020

UAV Aided Search and Rescue Operation Using Reinforcement Learning

Shriyanti Kulkarni, Vedashree Chaphekar, Md Moin Uddin Chowdhury +2

Owing to the enhanced flexibility in deployment and decreasing costs of manufacturing, the demand for unmanned aerial vehicles (UAVs) is expected to soar in the upcoming years. In…

eess.SP2020

Handover-Count based Velocity Estimation of Cellular-Connected UAVs

Md Moin Uddin Chowdhury, Priyanka Sinha, Ismail Guvenc

Cellular-connected unmanned aerial vehicles (UAVs) are expected to play a major role in various civilian and commercial applications in the future. While existing cellular networks…

eess.SP2019★ 73 cited

3D Trajectory Optimization in UAV-Assisted Cellular Networks Considering Antenna Radiation Pattern and Backhaul Constraint

Md Moin Uddin Chowdhury, Sung Joon Maeng, Eyuphan Bulut +1

This paper explores the effects of three-dimensional (3D) antenna radiation pattern and backhaul constraint on optimal 3D path planning problem of an unmanned aerial vehicle (UAV),…

eess.SP2019

RSS-Based Q-Learning for Indoor UAV Navigation

Md Moin Uddin Chowdhury, Fatih Erden, Ismail Guvenc

In this paper, we focus on the potential use of unmanned aerial vehicles (UAVs) for search and rescue (SAR) missions in GPS-denied indoor environments. We consider the problem of n…

eess.SP2019

Trajectory Optimization in UAV-Assisted Cellular Networks under Mission Duration Constraint

Md Moin Uddin Chowdhury, Eyuphan Bulut, Ismail Guvenc

In this paper, we address the problem of finding the optimal trajectory for an unmanned aerial vehicle (UAV) for improving the wireless coverage of a terrestrial cellular network.…