28 citations · 30 across the 7 of their papers we have counts for
7 papers
Kairos: A Scalable Serving System for Physical AI
Yinwei Dai, Ganesh Ananthanarayanan, Landon Cox +3
Physical AI is experiencing rapid growth with frontier foundation models increasing its capabilities across general environments. Physical AI tasks are characterized by inference p…
Offload or Overload: A Platform Measurement Study of Mobile Robotic Manipulation Workloads
Sara Pohland, Xenofon Foukas, Ganesh Ananthanarayanan +4
Mobile robotic manipulation--the ability of robots to navigate spaces and interact with objects--is a core capability of physical AI. Foundation models have led to breakthroughs in…
Hades: Hierarchical Adaptable Decoding for Efficient and Elastic vRAN
Jincao Zhu, Kobus Van Der Merwe, Xenofon Foukas +1
In cellular networks, virtualized Radio Access Networks (vRANs) enable replacing traditional specialized hardware at cell sites with software running on commodity servers distribut…
Distributed AI Platform for the 6G RAN
Ganesh Ananthanarayanan, Matthew Balkwill, Xenofon Foukas +4
Cellular Radio Access Networks (RANs) are rapidly evolving towards 6G, driven by the need to reduce costs and introduce new revenue streams for operators and enterprises. In this c…
AutoSpec: Automated Generation of Neural Network Specifications
Shuowei Jin, Taobo Liao, Anuj Kalia +5
The increasing adoption of neural networks in learning-augmented systems highlights the growing need for model safety and robustness, especially in safety-critical domains. While r…
Characterization and Identification of Cloudified Mobile Network Performance Bottlenecks
G. Patounas, X. Foukas, A. Elmokashfi +1
This study is a first attempt to experimentally explore the range of performance bottlenecks that 5G mobile networks can experience. To this end, we leverage a wide range of measur…
Iris: Deep Reinforcement Learning Driven Shared Spectrum Access Architecture for Indoor Neutral-Host Small Cells
Xenofon Foukas, Mahesh K. Marina, Kimon Kontovasilis
We consider indoor mobile access, a vital use case for current and future mobile networks. For this key use case, we outline a vision that combines a neutral-host based shared smal…