34 citations · 61 across the 12 of their papers we have counts for
5 papers · 1 filter
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis
Ying Wang, Shashank Jere, Soumya Banerjee +3
Jamming and intrusion detection are critical in 5G research, aiming to maintain reliability, prevent user experience degradation, and avoid infrastructure failure. This paper intro…
Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing
Shashank Jere, Karim Said, Lizhong Zheng +1
Deep learning has seen a rapid adoption in a variety of wireless communications applications, including at the physical layer. While it has delivered impressive performance in task…
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing
Shashank Jere, Lizhong Zheng, Karim Said +1
Recurrent neural networks (RNNs) are known to be universal approximators of dynamic systems under fairly mild and general assumptions. However, RNNs usually suffer from the issues…
Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR)
Shashank Jere, Ying Wang, Ishan Aryendu +2
The increased flexibility and density of spectrum access in 5G New Radio (NR) has made jamming detection and classification a critical research area. To detect coexisting jamming a…
Distributed Learning Meets 6G: A Communication and Computing Perspective
Shashank Jere, Yifei Song, Yang Yi +1
With the ever-improving computing capabilities and storage capacities of mobile devices in line with evolving telecommunication network paradigms, there has been an explosion of re…