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- Universidad Carlos III de MadridES53 papers
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51 papers · 1 filter
SymbXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks
Abhishek Duttagupta, MohammadErfan Jabbari, Claudio Fiandrino +2
The operation of future 6th-generation (6G) mobile networks will increasingly rely on the ability of deep reinforcement learning (DRL) to optimize network decisions in real-time. D…
Opportunities and Challenges for Virtual Reality Streaming over Millimeter-Wave: An Experimental Analysis
Jakob Struye, Hemanth Kumar Ravuri, Hany Assasa +5
Achieving extremely high-quality and truly immersive interactive Virtual Reality (VR) is expected to require a wireless link to the cloud, providing multi-gigabit throughput and ex…
Demystifying Privacy in 5G Stand Alone Networks
Stavros Eleftherakis, Timothy Otim, Giuseppe Santaromita +3
Ensuring user privacy remains critical in mobile networks, particularly with the rise of connected devices and denser 5G infrastructure. Privacy concerns have persisted across 2G,…
Twinning Commercial Network Traces on Experimental Open RAN Platforms
Leonardo Bonati, Ravis Shirkhani, Claudio Fiandrino +4
While the availability of large datasets has been instrumental to advance fields like computer vision and natural language processing, this has not been the case in mobile networki…
Designing the Network Intelligence Stratum for 6G Networks
Paola Soto, Miguel Camelo, Gines Garcia-Aviles +15
As network complexity escalates, there is an increasing need for more sophisticated methods to manage and operate these networks, focusing on enhancing efficiency, reliability, and…
An End-to-End Pipeline Perspective on Video Streaming in Best-Effort Networks: A Survey and Tutorial
Leonardo Peroni, Sergey Gorinsky
Remaining a dominant force in Internet traffic, video streaming captivates end users, service providers, and researchers. This paper takes a pragmatic approach to reviewing recent…