11 papers
Beyond RSRP Coverage: UAV Serviceability in Interference-Limited Urban 5G NR Networks
Md Sharif Hossen, Vijay K. Shah, Ismail Guvenc
Reference signal received power (RSRP) is commonly used to assess 5G cellular coverage, but it may substantially overestimate the connectivity available to cellular-connected unman…
Altitude-Dependent RSRP and RSRQ Trade-offs in 5G NR UAV Networks
Md Sharif Hossen, Vijay K. Shah, Ismail Guvenc
Cellular-connected unmanned aerial vehicles (UAVs) in 5G NR networks experience propagation and interference conditions that vary significantly with altitude and differ substantial…
Analysis of Altitude-Dependent Electronic Conspicuity in Cellular-Connected UAVs
Md Sharif Hossen, Vijay K. Shah, Ismail Guvenc
Unmanned aerial vehicles (UAVs) are increasingly integrated into cellular networks to support emerging Internet of Things (IoT) applications. In such settings, reliable communicati…
OpenTwin: Closed-Loop Digital Twins for Trustworthy Policy Deployment in Open RAN
Zifan Zhang, Md Sharif Hossen, Dara Ron +2
In open radio access networks (O-RAN), the near-real-time RAN Intelligent Controller (RIC) hosts third-party xApps whose training and validation risk disrupting the operational net…
Aerial Booster-Cell Enabled Inter-Cell Interference Coordination for 5G NR Networks
Md Sharif Hossen, Vijay K. Shah, Ismail Guvenc
Cellular-connected unmanned aerial vehicles (UAVs) operating in 5G New Radio (NR) macro networks experience severe and spatially non-uniform downlink interference. This is primaril…
Collection: UAV-Based Wireless Multi-modal Measurements from AERPAW Autonomous Data Mule (AADM) Challenge in Digital Twin and Real-World Environments
Md Sharif Hossen, Cole Dickerson, Ozgur Ozdemir +33
In this work, we present an unmanned aerial vehicle (UAV) wireless dataset collected as part of the AERPAW Autonomous Aerial Data Mule (AADM) challenge, organized by the NSF Aerial…
Resilient UAV Data Mule via Adaptive Sensor Association under Timing Constraints
Md Sharif Hossen, Anil Gurses, Ozgur Ozdemir +2
Unmanned aerial vehicles (UAVs) can be critical for time-sensitive data collection missions, yet existing research often relies on simulations that fail to capture real-world compl…
SAJD: Self-Adaptive Jamming Attack Detection in AI/ML Integrated 5G O-RAN Networks
Md Habibur Rahman, Md Sharif Hossen, Nathan H. Stephenson +2
The open radio access network (O-RAN) enables modular, intelligent, and programmable 5G network architectures through the adoption of software-defined networking (SDN), network fun…
A Demonstration of Self-Adaptive Jamming Attack Detection in AI/ML Integrated O-RAN
Md Habibur Rahman, Md Sharif Hossen, Nathan H. Stephenson +2
The open radio access network (O-RAN) enables modular, intelligent, and programmable 5G network architectures through the adoption of software-defined networking, network function…
Curated Wireless Datasets for Aerial Network Research
Amir Hossein Fahim Raouf, Donggu Lee, Mushfiqur Rahman +18
This Review consolidates publicly available aerial wireless measurement datasets collected using AERPAW. We organize signal-level, power-level, and KPI-level datasets under a unifi…
Accelerating Development in UAV Network Digital Twins with a Flexible Simulation Framework
Md Sharif Hossen, Anil Gurses, Mihail Sichitiu +1
Unmanned aerial vehicles (UAVs) enhance coverage and provide flexible deployment in 5G and next-generation wireless networks. The performance of such wireless networks can be impro…