Publications (Google Scholar Profile)
Conference Publications
Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections
Kunal Sankhe, Francesco Restuccia, Salvatore D’Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer Dy, Tommaso Melodia, Stratis Ioannidis, and Kaushik Roy Chowdhury
IEEE MILCOM’19, Virginia, USA, November 2019. PDF
Deep Reinforcement Learning based Traffic- and Channel-aware OFDMA Resource Allocation
Ravikumar Balakrishnan, Kunal Sankhe, V Srinivasa Somayazulu, Rath Vannithamby, Jerry Sydir,
IEEE GLOBECOM’19, Hawaii, USA, November 2019.
Spectrum Awareness at the Edge: Modulation Classification using Smartphones
Nasim Soltani, Kunal Sankhe , Stratis Ioannidis, Dheryta Jaisinghani, and Kaushik Chowdhury
IEEE DySpan’19, New Jersey, USA, November 2019.
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Mohammed Riyaz, Stratis Ioannidis, and Kaushik Roy Chowdhury
IEEE INFOCOM’19, Paris, France, May 2019. PDF DATASET
Talking When No One is Listening: Piggybacking City-scale IoT Control Signals Over LTE
Kunal Sankhe, Ufuk Muncuk, M. Yousof Naderi, and Kaushik Roy Chowdhury
IEEE INFOCOM’18, Honolulu, Hawaii, USA, April 2018. PDF
Making the Right Connections: Multi-AP Association and Flow Control in 60GHz Band
Fan Zhou, M. Yousof Naderi, Kunal Sankhe, and Kaushik Roy Chowdhury
IEEE INFOCOM’18, Honolulu, Hawaii, USA, April 2018. PDF
Machine Learning Based Cooperative Relay Selection in Virtual MIMO
Kunal Sankhe , Chandan Pradhan, Sumit Kumar, and Garimella Ramamurthy
IEEE WTS’15, New York, USA, April 2015. PDF
Full-Duplex eNodeB and UE Design for 5G Networks
Chandan Pradhan, Kunal Sankhe , Sumit Kumar, and Garimella Ramamurthy
IEEE WTS’15, New York, USA, April 2015. PDF
Revamp of eNodeB for 5G Networks: Detracting Spectrum Scarcity
Chandan Pradhan, Kunal Sankhe , Sumit Kumar, and Garimella Ramamurthy
IEEE CCNC’15, Las Vegas, USA, January 2015. PDF
Cost effective restoration of wireless connectivity in disaster hit areas using OpenBTS
Kunal Sankhe , Chandan Pradhan, Sumit Kumar, and Garimella Ramamurthy
IEEE INDICON’14, Pune, India, December 2014. PDF
Cognitive base station design for efficient spectrum utilization in cellular network
Chandan Pradhan, Kunal Sankhe , Sumit Kumar, and Garimella Ramamurthy
IEEE WOCN’14, Hyderabad, India, September 2014. PDF
Journal/Magazine Publications
No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments
Kunal Sankhe , Mauro Belgiovine, Fan Zhou, Luca Angioloni, Francesco Restuccia, Salvatore D’Oro, Tommaso Melodia, Stratis Ioannidis, and Kaushik Chowdhury
IEEE Transactions on Cognitive Communications and Networking, Special Issue: Evolution of Cognitive Radio to AI-enabled Radio and Networks.
Deep Learning Convolutional Neural Networks for Radio Identification
Shamnaz Riyaz, Kunal Sankhe , Stratis Ioannidis, and Kaushik Chowdhury
IEEE Communications Magazine, vol. 56, Issue no. 9, September, 2018. PDF
Beyond 5G: THz-based Medium Access Protocol for Mobile Heterogeneous Networks
Angela Sara Cacciapuoti, Kunal Sankhe , Marcello Caleffi, and Kaushik Roy Chowdhury.
IEEE Communications Magazine, vol. 56, Issue no. 6, June 2018. PDF
Distributed Spatial Modulation with Dynamic Frequency Allocation
Kunal Sankhe , Sachin Chaudhari, and Garimella Ramamurthy
Physical Communication (Elsevier) Journal, vol. 23, pp. 65-75, June 2017. PDF
Book Chapter
Cognitive Radio Networks: Issues and Solution
Deepti Singhal, Chandan Pradhan, Kunal Sankhe , and Garimella Ramamurthy
Handbook of Research on Self-Organized Mobile Communication Technologies, IGI Global 2015