Context-aware cognitive radio using deep learning

F Paisana, A Selim, M Kist, P Alvarez… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
This paper describes the design, experimental assessment and Software Defined Radio
(SDR) implementation of a Secondary User (SU) link for the IEEE DySPAN Challenge 2017 …

DySPAN spectrum challenge: Situational awareness and opportunistic spectrum access benchmarked

F Wunsch, F Paisana, S Rajendran… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In this paper, we describe the original problem statement and the two winning solutions to
the IEEE DySPAN Challenge, organized in Baltimore in 2017. The idea of the challenge was …

IEEE 5G spectrum sharing challenge: A practical evaluation of learning and feedback

S Rajendran, B Van den Bergh… - IEEE …, 2016 - ieeexplore.ieee.org
We present the results, experiences, and takeaways from comparing a diverse set of
dynamic spectrum access methods during the IEEE DySPAN 2015 spectrum challenge. Five …

Deep Learning Meets Cognitive Radio: Predicting Future Steps

A Shenfield, Z Khan, H Ahmadi - 2020 IEEE 91st Vehicular …, 2020 - ieeexplore.ieee.org
Learning the channel occupancy patterns to reuse the underutilised spectrum frequencies
without interfering with the incumbent is a promising approach to overcome the spectrum …

Design and experimental evaluation of C-MAC solutions for heterogeneous spectrum sharing

I Sobron, C Regueiro, I Eizmendi… - 2016 IEEE 27th …, 2016 - ieeexplore.ieee.org
Cognitive medium access control (C-MAC) protocols employ several mechanisms that deal
with the heterogeneity of a coexistence scenario with multiple wireless systems in the same …

[PDF][PDF] Deep learning solutions for large scale wireless spectrum monitoring

S Rajendran - 2019 - lirias.kuleuven.be
Four years and six months, that is what it took me to complete this thesis. For someone like
me, who had never thought of pursuing formal studies after my bachelors, this entire PhD …

[引用][C] Maximizing OFDM Performance Through Real Time Adaptivity

C Blümm - 2017 - Dissertation, Erlangen, Friedrich …