73 citations · 162 across the 36 of their papers we have counts for
10 papers · 1 filter
Generative Neural Network Channel Modeling for Millimeter-Wave UAV Communication
William Xia, Sundeep Rangan, Marco Mezzavillla +4
The millimeter wave bands are being increasingly considered for wireless communication to unmanned aerial vehicles (UAVs). Critical to this undertaking are statistical channel mode…
Millimeter Wave Channel Modeling via Generative Neural Networks
William Xia, Sundeep Rangan, Marco Mezzavilla +4
Statistical channel models are instrumental to design and evaluate wireless communication systems. In the millimeter wave bands, such models become acutely challenging; they must c…
Enabling Remote Whole-Body Control with 5G Edge Computing
Huaijiang Zhu, Manali Sharma, Kai Pfeiffer +4
Real-world applications require light-weight, energy-efficient, fully autonomous robots. Yet, increasing autonomy is oftentimes synonymous with escalating computational requirement…
Millimeter Wave Remove UAV Control and Communications for Public Safety Scenarios
William Xia, Michele Polese, Marco Mezzavilla +3
Communication and video capture from unmanned aerial vehicles (UAVs) offer significant potential for assisting first responders in remote public safety settings. In such uses, mill…
Low-Rank Nonlinear Decoding of -ECoG from the Primary Auditory Cortex
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit +6
This paper considers the problem of neural decoding from parallel neural measurements systems such as micro-electrocorticography (-ECoG). In systems with large numbers of array…
Generalization Error of Generalized Linear Models in High Dimensions
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit +2
At the heart of machine learning lies the question of generalizability of learned rules over previously unseen data. While over-parameterized models based on neural networks are no…