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20242026
most citedTowards an AI/ML-driven SMO Framework in O-RAN: Scenarios, Solutions, and Challenges

1 citations · 5 across the 24 of their papers we have counts for

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Showing 2024Show all

10 papers · 1 filter

eess.SP2024

Unauthorized Radio Sensing and Privacy Risks: A Sampling Error-Based Defense

Zexin Fang, Bin Han, Wenwen Chen +1

Unauthorized sensing activities pose an increasing threat to individual privacy, yet effective countermeasures remain underdeveloped. This paper presents a novel methodology to cha…

cs.NI2024★ 1 cited

Architectural Challenges of Nomadic Networks in 6G

Daniel Lindenschmitt, Benedikt Veith, Khurshid Alam +7

This paper examines architectural challenges and opportunities arising from Nomadic Networks in the context of emerging 6G research. Nomadic networks are proposed as a solution to…

cs.NI2024★ 1 cited

Towards an AI/ML-driven SMO Framework in O-RAN: Scenarios, Solutions, and Challenges

Mohammad Asif Habibi, Bin Han, Merve Saimler +2

The emergence of the open radio access network (O-RAN) architecture offers a paradigm shift in cellular network management and service orchestration, leveraging data-driven, intent…

cs.NI2024★ 1 cited

Nomadic Non-Public Networks for 6G: Use Cases and Key Performance Indicators

Daniel Lindenschmitt, Benedikt Veith, Khurshid Alam +7

The landscape of wireless communication systems is evolving rapidly, with a pivotal role envisioned for dynamic network structures and self-organizing networks in upcoming technolo…

cs.RO2024

A Communication-Efficient Digital Twin Framework for PSO-Based Swarm Navigation and Obstacle Avoidance

Siyu Yuan, Khurshid Alam, Bin Han +2

Swarm-based target localization in industrial environments faces two major challenges: navigating obstacle-rich spaces and managing intensive communication among agents. This paper…

eess.SP2024

A Robust UAV-Based Approach for Power-Modulated Jammer Localization Using DoA

Zexin Fang, Bin Han, Hans D. Schotten

Unmanned aerial vehicles (UAVs) are well-suited to localize jammers, particularly when jammers are at non-terrestrial locations, where conventional detection methods face challenge…

cs.LG2024

Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation

Zexin Fang, Bin Han, Hans D. Schotten

Federated learning (FL) offers a privacy-preserving collaborative approach for training models in wireless networks, with channel estimation emerging as a promising application. De…

cs.NI2024★ 1 cited

Chronicles of Jockeying in Queuing Systems

Anthony Kiggundu, Bin Han, Dennis Krummacker +1

Emerging trends in communication systems, such as network softwarization, functional disaggregation, and multi-access edge computing (MEC), are reshaping both the infrastructural l…

cs.NI2024

Resource Allocation in Mobile Networks: A Decision Model Of Jockeying in Queues

Anthony Kiggundu, Bin Han, Dennis Krummacker +1

Use-case-specific network slicing in decentralized multi-tenancy cloud environments is a promising approach to bridge the gap between the demand and supply of resources in next-gen…

eess.SP2024★ 1 cited

Trustworthy UAV Cooperative Localization: Information Analysis of Performance and Security

Zexin Fang, Bin Han, Hans D. Schotten

This paper presents a trustworthy framework for achieving accurate cooperative localization in multiple unmanned aerial vehicle (UAV) systems. The The Cramer-Rao Lower Bound (CRLB)…