4 papers
LatentWave: JEPA Pretraining for Wireless Foundation Models
Ahmed Mohamed, Ahmed Aboulfotouh, Hatem Abou-Zeid
Wireless foundation models have emerged as a promising alternative to building separate models for each wireless task. However, existing approaches rely on masked input reconstruct…
Knowledge Distillation For Wireless Edge Learning
Ahmed P. Mohamed, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal
In this paper, we propose a framework for predicting frame errors in the collaborative spectrally congested wireless environments of the DARPA Spectrum Collaboration Challenge (SC2…
A Number Theoretic Approach for Fast Discovery of Single-Hop Wireless Networks
Tolunay Seyfi, Ahmed P. Mohamed, Aly El Gamal
Interference management has become a key factor in regulating transmissions in wireless communication networks. To support effective interference management schemes, it can be esse…
Deep Learning for Frame Error Prediction using a DARPA Spectrum Collaboration Challenge (SC2) Dataset
Abu Shafin Mohammad Mahdee Jameel, Ahmed P. Mohamed, Xiwen Zhang +1
We demonstrate a first example for employing deep learning in predicting frame errors for a Collaborative Intelligent Radio Network (CIRN) using a dataset collected during particip…