Prof. Amit Baghel

A1. In refereed journals: 

Papers published:

1. A. Baghel, A. S. Parihar, V. Bhatia, K. Choi and A. K. Mishra, “On Joint Impact of HPA Non-Linearity and Imperfect SIC in NOMA Enabled HCN Using Stochastic Geometry,” IEEE Transactions on Vehicular Technology, vol. 73, no. 6, pp. 8055-8068, June 2024.

2. A. Baghel, A. S. Parihar, K. Choi and V. Bhatia, “On Impact of HPA Nonlinearity in NOMA Enabled Heterogeneous Cellular Network,” IEEE Transactions on Vehicular Technology, vol. 73, no. 9, pp. 14038 14043, Sept. 2024.

3. A. Baghel, A. S. Parihar, V. Bhatia, O. Krejcar and K. Choi,”On Performance of NOMA-empowered HCN: A Stochastic Geometry Approach Considering Imperfect SIC and CSI,” IEEE Wireless Communication Letters, vol. 14, no. 7, pp. 1924-1928, July 2025.

4. A. Baghel, D. Singh, A. S. Parihar, P. Brida, V. Bhatia, O. Krejcar, N. Rajatheva, and M. Latva-aho, “Performance of Heterogeneous NOMA Networks in Impulsive Noise with Transmit Antenna Selection,” IEEE Wireless Communication Letters, 2025. (Early Access)

 5. A. Baghel, D. Singh, A. S. Parihar, V. Bhatia, N. Rajatheva and M. Latva-aho, “Robustness of NOMA in HetNets: Impact of Hardware Impairments and Imperfect CSI,” IEEE Wireless Communication Letters, 2025.

A2. In refereed conferences:

Papers published in conference proceedings:

1. A. Baghel, A. S. Parihar, V. Bhatia, P. Brida and M. Augustynek, “Impact of Imperfect SIC in NOMA Enabled Heterogeneous Cellular Network,” IEEE 27th International Conference on Intelligent Engineering Systems (INES), Nairobi, Kenya, 2023, pp. 137-142.

2. A. Baghel, D. Singh, V. Bhatia, N. Rajatheva and M. Latva-aho, “On Impact of Impulsive Noise on Distributed Heterogeneous Cellular Networks in Industrial IoT,” in Proc. IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Guwahati, India, 2024, pp. 1-6.

3. A. S. Parihar, A. Baghel, P. Swami, and V. Bhatia, “On Performance of SWIPT Empowered NOMA HetNet with Non-Linear Energy Harvesting,” IEEE 30th National Conference on Communications (NCC) 2024, IIT Madras.

4. T. Nandi, A. Baghel, A. Pathak, and V. Bhatia, “Hybrid Quantum Machine Learning Model For Power Allocation in NOMA,” in Proc. 8-th IEEE International Conference on Information Communication Technology (CICT), Prayagraj, India, 2024, pp. 1-6

5. S. Sirohiya, A. Baghel and V. Bhatia, “Enhancement of Spectrum Efficiency in Satellite Communication Applying Prediction Model of Machine Learning Technique,” 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2022

6. S. Ray, A. Baghel and V. Bhatia, “Deep Learning Based Underwater Image Enhancement Using Deep Convolution Neural Network,” 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2022.

A3. Book chapters (published/ under review):

1. V. Bhatia, Z. Ding, K. Singh, A. Baghel, A. S. Parihar, and D. Kumar, “Advanced NOMA Techniques for Heterogeneous Cellular Networks,” Springer Nature Switzerland AG, Gewerbestrasse 11,6330 Cham, Switzerland.