activity
20212025
most citedA Survey of Wireless Networks for Future Aerial COMmunications (FACOM)

166 citations · 292 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SP2025

Near-Field SWIPT with gMIMO in the Upper Mid-Band: Opportunities, Challenges, and the Way Forward

Özlem Tugfe Demir, Mustafa Ozger, Ferdi Kara +2

This paper explores the integration of simultaneous wireless information and power transfer (SWIPT) with gigantic multiple-input multiple-output (gMIMO) technology operating in the…

cs.NI2024★ 1 cited

Feasibility Study of Function Splits in RAN Architectures with LEO Satellites

Siva Satya Sri Ganesh Seeram, Luca Feltrin, Mustafa Ozger +2

This paper explores the evolution of Radio Access Network (RAN) architectures and their integration into Non-Terrestrial Networks (NTN) to address escalating mobile traffic demands…

cs.IT2024★ 10 cited

Learning Based Dynamic Cluster Reconfiguration for UAV Mobility Management with 3D Beamforming

Irshad A. Meer, Karl-Ludwig Besser, Mustafa Ozger +3

In modern cell-less wireless networks, mobility management is undergoing a significant transformation, transitioning from single-link handover management to a more adaptable multi-…

eess.SY2024★ 1 cited

Nash Soft Actor-Critic LEO Satellite Handover Management Algorithm for Flying Vehicles

Jinxuan Chen, Mustafa Ozger, Cicek Cavdar

Compared with the terrestrial networks (TN), which can only support limited coverage areas, low-earth orbit (LEO) satellites can provide seamless global coverage and high survivabi…

cs.NI2023

Aerial Base Stations: Practical Considerations for Power Consumption and Service Time

Siva Satya Sri Ganesh Seeram, Shuai Zhang, Mustafa Ozger +3

Aerial base stations (ABSs) have emerged as a promising solution to meet the high traffic demands of future wireless networks. Nevertheless, their practical implementation requires…

eess.SY2023★ 2 cited

Reliability and Delay Analysis of 3-Dimensional Networks with Multi-Connectivity: Satellite, HAPs, and Cellular Communications

Fateme Salehi, Mustafa Ozger, Cicek Cavdar

Aerial vehicles (AVs) such as electric vertical take-off and landing (eVTOL) aircraft make aerial passenger transportation a reality in urban environments. However, their communica…

eess.SY2023

Coverage Performance of UAV-powered Sensors for Energy-neutral Networks with Recharging Stations

Oktay Cetinkaya, Mustafa Ozger, David De Roure

The projected number of Internet of Things (IoT) sensors makes battery maintenance a challenging task. Although battery-less IoT is technologically viable, the sensors should be so…

cs.NI2023★ 2 cited

6G for Connected Sky: A Vision for Integrating Terrestrial and Non-Terrestrial Networks

Mustafa Ozger, Istvan Godor, Anders Nordlow +15

In this paper, we present the vision of our project 6G for Connected Sky (6G-SKY) to integrate terrestrial networks (TNs) and non-terrestrial networks (NTNs) and outline the curren…

cs.IT2022

Low-Latency MAC Design for Pairwise Random Networks

Irshad A. Meer, Woong-Hee Lee, Mustafa Ozger +2

Feasibility of using unlicensed spectrum for ultra reliable low latency communications (URLLC) is still a question for beyond 5G wireless networks. Low latency access to the channe…

cs.NI2022★ 17 cited

Energy-Efficient Transmission Range and Duration for Cognitive Radio Sensor Networks

Mustafa Ozger, Ecehan B. Pehlivanoglu, Ozgur B. Akan

Cognitive Radio (CR) promises an efficient utilization of radio spectrum resources by enabling dynamic spectrum access to overcome the spectrum scarcity problem. Cognitive Radio Se…

cs.NI2021★ 166 cited

A Survey of Wireless Networks for Future Aerial COMmunications (FACOM)

Aygün Baltaci, Ergin Dinc, Mustafa Ozger +3

Electrification turned over a new leaf in aviation by introducing new types of aerial vehicles along with new means of transportation. Addressing a plethora of use cases, drones ar…

cs.LG2021★ 93 cited

Noise Learning Based Denoising Autoencoder

Woong-Hee Lee, Mustafa Ozger, Ursula Challita +1

This letter introduces a new denoiser that modifies the structure of denoising autoencoder (DAE), namely noise learning based DAE (nlDAE). The proposed nlDAE learns the noise of th…