activity
20182026
most citedReinforcement Learning Based Dynamic Power Control for UAV Mobility Management

2 citations · 2 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG2026

JEPA for AI-Native 6G: Predictive Representations and Open Challenges

Sheikh Salman Hassan, Irshad A. Meer, Almoatssimbillah Saifaldawla +9

Sixth-generation (6G) networks are moving toward AI-native operation, where learning modules are embedded across the radio access network (RAN), edge, and core. This transition req…

cs.NI2025

Hierarchical Multi Agent DRL for Soft Handovers Between Edge Clouds in Open RAN

F. Giarrè, I. A. Meer, M. Masoudi +2

Multi-connectivity (MC) for aerial users via a set of ground access points offers the potential for highly reliable communication. Within an open radio access network (O-RAN) archi…

cs.IT2023★ 2 cited

Reinforcement Learning Based Dynamic Power Control for UAV Mobility Management

Irshad A. Meer, Karl-Ludwig Besser, Mustafa Ozger +2

Modern communication systems need to fulfill multiple and often conflicting objectives at the same time. In particular, new applications require high reliability while operating at…

eess.SY2020

Evaluation of RF Wireless Power Transfer for Low-Power Aircraft Sensors

Jan Tepper, Aygün Baltaci, Bernd Schleicher +6

Low-power sensors can be integrated into an aircraft for numerous use cases. Conventionally, these sensors are powered via cables, which introduces various disadvantages to the ove…

eess.SY2020

Quality of Service Aware Traffic Management for Aircraft Communications

David Tomic, Sandra Hofmann, Mustafa Ozger +2

In-flight Internet connectivity is a necessity for aircraft passengers as well as aircraft systems. It is challenging to satisfy required quality of service (QoS) levels for flows…

eess.SP2020

On the Localization of Unmanned Aerial Vehicles with Cellular Networks

Irshad A. Meer, Mustafa Ozger, Cicek Cavdar

Localization plays a key role for safe operation of UAVs enabling beyond visual line of sight applications. Compared to GPS based localization, cellular networks can reduce the pos…

cs.NI2018

Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning

Amin Azari, Mustafa Ozger, Cicek Cavdar

Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G wireless networks. Stringent delay and reliability requirements need to be satisfied for bot…