Brijesh Soni

Work experience:

Currently, I am a postdoctoral researcher in the areas of "Machine learning for beyond 5G networks" under the mentorship of Professor Siddhartan Govindasamy.
Previously, I was associated as a Junior Research Fellow (JRF) under the research project entitled "Non-parametric Smart Sensing Analytics based on Large Spectrum Data and Estimation of Channel Activity Statistics" during June 2017-2021. This was a Bilateral project between UK (University of Liverpool) and India (Ahmedabad University) under the prestigious UKIERI call, generously funded by Department of Science and Technology (DST) from the Indian side and British Council from the U.K side. The Principal Investigator from India was Dr. Dhaval Patel while, from U.K was Dr. Miguel López-Benítez.

Peer Reviewed Journal Publications:

[J6] B. Soni, D. K. Patel, S. B. Shah, M. López-Benítez and S. Govindasamy, "PU-DetNet: Deep Unfolding Aided Smart Sensing Framework for Cognitive Radio," IEEE Access, vol. 10, pp. 98737-98751, 2022.

[J5] B. Soni, D. K. Patel, Z. Ding, Y. L. Guan and S. Sun, "On Sensing Performance of Multi-Antenna Mobile Cognitive Radio Conditioned on Primary User Activity Statistics," IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3381-3394, May 2022.

[J4] Brijesh Soni, Dhaval K. Patel and M. López-Benítez, "Long Short-Term Memory Based Spectrum Sensing Scheme for Cognitive Radio Using Primary Activity Statistics," IEEE Access, vol. 8, pp. 97437-97451, 2020 [Paper] [Code]

[J3] Dhaval K. Patel, Brijesh Soni, and Miguel López-Benítez, “Improved likelihood Ratio statistics based Cooperative Spectrum Sensing for Cognitive Radio”, IET Communications, Vol. 14, Issue 11, pp. 1675-1686, Jun. 2020

[J2] Dhaval K. Patel, Miguel López-Benítez, Brijesh Soni, Angel Garcia Fernandez, “Artificial Neural Network Design for Improved Spectrum Sensing in Cognitive Radio”, Springer Wireless Networks, vol 26, pp 6155-6174, July 2020 [Paper] [Code]

[J1] Dhaval K. Patel, Brijesh Soni, and Miguel López-Benítez, “On the estimation of primary user activity statistics for long- and short-time scale models in cognitive radio”, Springer Wireless Networks, vol 25, pp 5099-5111, August 2019

Peer Reviewed Conference Publications:

[C12] Brijesh Soni, Siddhartan Govindasamy, Dhaval K. Patel, "Rate Forecaster based Energy Aware Band Assignment in Multiband Networks," accepted for presentation in IEEE GLOBECOM, KL-Malaysia, Dec. 2023. [arxiv pre-print]

[C11] Brijesh Soni, Siddhartan Govindasamy, Dhaval K. Patel, "Deep Learning aided Energy Efficient Band Assignment in Multiband Heterogeneous Networks," Proc. of IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas-Nevada, US, Jan. 2023, pp. xx-xx

[C10] Shreyansh Shah, Dhaval K. Patel, Brijesh Soni, Miguel López-Benítez and Sagar Kavaiya, “Weighted Cooperative Spectrum Sensing for Cognitive Vehicular Networks”, Proc. of 94th IEEE Vehicular Technology Conference (VTC-Fall 2021), virtual conference, Sept. 2021, pp. 1-5

[C9] Shreyansh Shah, Dhaval K. Patel, Brijesh Soni, Miguel López-Benítez and Sagar Kavaiya, “Impact of Mobility on the Estimation of Primary Channel Activity Statistics”, Proc. of 94th IEEE Vehicular Technology Conference (VTC-Fall 2021), virtual conference, Sept. 2021, pp. 1-5

[C8] Brijesh Soni, Dhaval K. Patel, Sagar Kavaiya, Mazen O. Hasna, and Miguel López-Benítez, "On Physical Layer Security of Correlated Multiantenna Cognitive Radio Receivers," Proc. of 27th IEEE National Conference on Communications (NCC), IIT Kanpur- IIT Roorkee, India, July 2021, pp. 1-6

[C7] Bhargav Patel, Dhaval K. Patel, Brijesh Soni, Miguel López-Benítez and Sagar Kavaiya, “LSTM Autoencoder aided Estimation of Primary Activity Statistics under Imperfect Sensing”, Proc. of 13th International Conference on COMmunication Systems & NETworkS (COMSNETS)", Bangalore, India, 2021, pp. 242-245.

[C6] Dhaval K. Patel, Brijesh Soni, Y. L. Guan, S. Sun, Y. Chang, and J. Lim, “Performance analysis of arbitrary correlated multiantenna receiver for mobile cognitive user,” in Proc. IEEE GLOBECOM, Taiwan, Dec. 2020, pp. 1-6

[C5] Brijesh Soni, Dhaval K. Patel, Y. L. Guan, S. Sun, Y. C. Chang and J. M. Lim, "Performance Analysis of NOMA aided Cooperative Relaying over $\alpha$-$\eta$-$\kappa$-$\mu$ Fading Channels," Proc. of 26th IEEE National Conference on Communications (NCC), Kharagpur, India, Feb. 2020, pp. 1-6

[C4] Shweta Thakur, Dhaval K. Patel, Brijesh Soni, Mehul Raval, Sanjay Chaudhary, "Prediction for the Second Wave of COVID-19 in India" Proc. of 8th International Conference on Big Data Analytics (BDA) 2020, Lecture Notes in Computer Science, vol 12581. Springer, Cham. [Paper]

[C3] Bansi Gajera, Dhaval K. Patel, Brijesh Soni and M. López-Benítez, "Performance Evaluation of Improved Energy Detection under Signal and Noise Uncertainties in Cognitive Radio Networks," IEEE International Conference on Signals and Systems (ICSigSys), Bandung, Indonesia, 2019, pp. 131-137.

[C2] Nikhil Balwani, Dhaval K. Patel, Brijesh Soni, Miguel López-Benítez, “Long Short-Term Memory based Spectrum Sensing Scheme for Cognitive Radio”, Proc. of the 30th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Turkey, Sep 8, 2019, pp. 1-6

[C1] Bansi Gajera, Dhaval K. Patel, Brijesh Soni and M. López-Benítez, "Experimental Performance Evaluation of Improved Energy Detection under Noise Uncertainty in Low SNR Regime," IEEE Wireless Communications and Networking Conference Workshop (WCNCW), Marrakech, Morocco, 2019, pp. 1-6. [Link]

Invited Talks:

[T2] Delivered a talk on "Analysis of Spectrum Occupancy using Machine Learning Algorithms" during a National Level Faculty Development Program entitled `Machine Learning for xG wireless Networks: Performance Analysis and Monte Carlo Simulations' held at School of Engineering and Applied Science, Ahmedabad University during June 2019

[T1] Invited from Government Engineering College, Surat (GEC-Surat) to deliver a webinar on "Overview and Applications of Machine Learning in xG Wireless Networks" on May 02, 2020

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