5 citations · 11 across the 15 of their papers we have counts for
19 papers
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…
Real-World LoRaWAN Performance and Propagation Modeling Using UAV, Helikite, and Vehicle-Based Measurements
Sergio Vargas Villar, Simran Singh, Özgür Özdemir +2
This paper presents a field-based evaluation of Long Range Wide Area Network (LoRaWAN) signal propagation conducted at two locations within the Aerial Experimentation and Research…
3D Spectrum Awareness for Radio Dynamic Zones Using Kriging and Matrix Completion
Mushfiqur Rahman, Sung Joon Maeng, Ismail Guvenc +1
Radio Dynamic Zones (RDZs) are geographically defined areas specifically allocated for testing new wireless technologies. It is essential to safeguard the regular spectrum users ou…
TransfoREM: Transformer aided 3D Radio Environment Mapping
Gautham Reddy, Ismail Guvenc, Mihail L. Sichitiu +3
Providing reliable cellular connectivity to Unmanned Aerial Vehicles (UAV) is a key challenge, as existing terrestrial networks are deployed mainly for ground-level coverage. The c…
Fusion of Cellular ISAC and Passive RF Sensing for UAV Detection and Tracking
Cole Dickerson, Sean Kearney, Sultan Manjur +5
The rapid growth of unmanned aerial vehicles (UAVs) in civilian and critical-infrastructure airspace has created a need for reliable detection and tracking systems that operate und…
Elevation- and Tilt-Aware Shadow Fading Correlation Modeling for UAV Communications
Mushfiqur Rahman, Ismail Guvenc, Mihail Sichitiu +4
Future wireless networks demand a more accurate understanding of channel behavior to enable efficient communication with reduced interference. Uncrewed Aerial Vehicles (UAVs) are p…
Energy Efficient Sleep Mode Optimization in 5G mmWave Networks via Multi Agent Deep Reinforcement Learning
Saad Masrur, Ismail Guvenc, David Lopez Perez
Dynamic sleep mode optimization (SMO) in millimeter-wave (mmWave) networks is essential for maximizing energy efficiency (EE) under stringent quality-of-service (QoS) constraints.…
UAV-Assisted Coverage Hole Detection Using Reinforcement Learning in Urban Cellular Networks
Mushfiqur Rahman, Ismail Guvenc, David Ramirez +1
Deployment of cellular networks in urban areas requires addressing various challenges. For example, high-rise buildings with varying geometrical shapes and heights contribute to si…
Impact of Altitude, Bandwidth, and NLOS Bias on TDOA-Based 3D UAV Localization: Experimental Results and CRLB Analysis
Cole Dickerson, Saad Masrur, Jonah Dickerson +2
This paper investigates unmanned aerial vehicle (UAV) localization using time difference of arrival (TDOA) measurements under mixed line-of-sight (LOS) and non-line-of-sight (NLOS)…
Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors
Saad Masrur, Jung-Fu, Cheng +2
Indoor localization in challenging non-line-of-sight (NLOS) environments often leads to poor accuracy with traditional approaches. Deep learning (DL) has been applied to tackle the…
A mmWave Software-Defined Array Platform for Wireless Experimentation at 24-29.5 GHz
Ashwini Pondeycherry Ganesh, Anthony Perre, Alphan Sahin +2
Advanced millimeter-wave software-defined array (SDA) platforms, or testbeds at affordable costs and high performance are essential for the wireless community. In this paper, we pr…
Base Station and Passive Reflectors Placement for Urban mmWave Networks
Chethan Kumar Anjinappa, Fatih Erden, Ismail Guvenc
The use of millimeter-wave (mmWave) bands in 5G networks introduce a new set of challenges to network planning. Vulnerability to blockages and high path loss at mmWave frequencies…
Physical Layer Security for NOMA Transmission in mmWave Drone Networks
Yavuz Yapici, Nadisanka Rupasinghe, Ismail Guvenc +2
The non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) transmission enable the unmanned aerial vehicle (UAV) assisted wireless networks to provide broadband connect…
Heuristic Approach for Jointly Optimizing FeICIC and UAV Locations in Multi-Tier LTE-Advanced Public Safety HetNet
Abhaykumar Kumbhar, Hamidullah Binol, Simran Singh +2
UAV enabled communications and networking can enhance wireless connectivity and support emerging services. However, this would require system-level understanding to modify and exte…
Dynamic Interference Management for UAV-Assisted Wireless Networks
Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici +4
The deployment of unmanned aerial vehicles (UAVs) is proliferating as they are effective, flexible and cost-efficient devices for a variety of applications ranging from natural dis…
Hybrid Precoding for mmWave Massive MIMO with One-Bit DAC
Sung Joon Maeng, Yavuz Yapıcı, Ismail Guvenc +2
Hybrid beamforming is key to achieving energy-efficient 5G wireless networks equipped with massive amount of antennas. Low-resolution data converters bring yet another degree of fr…
Interference Management in UAV-assisted Integrated Access and Backhaul Cellular Networks
Abdurrahman Fouda, Ahmed S. Ibrahim, Ismail Guvenc +1
An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of next-generation cellular networks. However, mutual interference between acce…
Capacity and Energy-Efficiency of Delayed Access Scheme for Small Cell Networks
Haluk Celebi, Ismail Guvenc, Henning Schulzrinne
Data applications may typically tolerate a moderate delay before packet transmission between user equipment (UE) and cell begins. This delay can be taken advantage to reduce the co…
Joint Frame Synchronization and Channel Estimation: Sparse Recovery Approach and USRP Implementation
Özgür Özdemir, Chethan Kumar Anjinappa, Ridha Hamila +2
Correlation-based techniques used for frame synchronization can suffer significant performance degradation over multi-path frequency-selective channels. In this paper, we propose a…