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8 papers · 1 filter
Evaluating Machine Learning-Driven Intrusion Detection Systems in IoT: Performance and Energy Consumption
Saeid Jamshidi, Kawser Wazed Nafi, Amin Nikanjam +1
In the evolving landscape of the Internet of Things (IoT), Machine Learning (ML)-based Intrusion Detection Systems (IDS) represent a significant advancement, especially when integr…
Planning and Operation of Millimeter-wave Downlink Systems with Hybrid Beamforming
Yuan Quan, Shahram Shahsavari, Catherine Rosenberg
This paper investigates downlink radio resource management (RRM) in millimeter-wave systems with codebook-based hybrid beamforming in a single cell. We consider a practical but oft…
How to Cache Important Contents for Multi-modal Service in Dynamic Networks: A DRL-based Caching Scheme
Zhe Zhang, Marc St-Hilaire, Xin Wei +2
With the continuous evolution of networking technologies, multi-modal services that involve video, audio, and haptic contents are expected to become the dominant multimedia service…
AI-Assisted Slicing-Based Resource Management for Two-Tier Radio Access Networks
Conghao Zhou, Jie Gao, Mushu Li +4
While network slicing has become a prevalent approach to service differentiation, radio access network (RAN) slicing remains challenging due to the need of substantial adaptivity a…
A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers
Shiva Ketabi, Hongkai Chen, Haiwei Dong +1
Various congestion control protocols have been designed to achieve high performance in different network environments. Modern online learning solutions that delegate the congestion…
Network Slicing for Service-Oriented Networks Under Resource Constraints
Nan Zhang, Ya-Feng Liu, Hamid Farmanbar +3
To support multiple on-demand services over fixed communication networks, network operators must allow flexible customization and fast provision of their network resources. One eff…