Performance Evaluation of Wireless Communication Systems over Weibull/q-Lognormal Shadowed Fading Using Tsallis’ Entropy Framework T Mukherjee, AK Singh, D Senapati Wireless Personal Communications 106 (2), 789-803, 2019 | 22 | 2019 |
Performance evaluation of composite fading channels using q-Weibull distribution DS Tanmay Mukherjee, Bibudhendu Pati Progress in Advanced Computing and Intelligent Engineering - Proceedings of …, 2019 | 10* | 2019 |
Evaluation of symbol error probability using a new tight Gaussian Q approximation T Mukherjee, G Nayak, D Senapati International Journal of Systems, Control and Communications 12 (1), 60-71, 2021 | 9 | 2021 |
Adaptive applications of maximum entropy principle AK Singh, D Senapati, T Mukherjee, NK Rajput Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2020 | 8 | 2020 |
Dynamic framework towards sustainable and energy-efficient routing in delay tolerant IoT-based WSNs S Bebortta, SK Singh, M Rath, T Mukherjee International Journal of Systems, Control and Communications 15 (1), 79-94, 2024 | 7 | 2024 |
FedHealthFog: A federated learning-enabled approach towards healthcare analytics over fog computing platform SS Tripathy, S Bebortta, CL Chowdhary, T Mukherjee, SK Kim, J Shafi, ... Heliyon 10 (5), 2024 | 6 | 2024 |
Stochastic modeling of q-Lognormal fading channels over Tsallis' entropy: Evaluation of channel capacity and higher order moments T Mukherjee, S Bebortta, D Senapati Digital Signal Processing 133, 103856, 2023 | 6 | 2023 |
Intelligent characterization of wireless fading channels using a single statistical q-weibull distribution S Samal, T Mukherjee, S Bebortta, S Chakravarty 2022 IEEE 2nd International Symposium on Sustainable Energy, Signal …, 2022 | 6 | 2022 |
An adaptive q-Lognormal model towards the computation of average channel capacity in slow fading channels T Mukherjee, D Senapati Telecommunication Systems 79 (3), 341-355, 2022 | 5 | 2022 |
Comparative Analysis of Symbol Error Probability Estimation Techniques for Wireless Fading Channels T Mukherjee, S Bebortta, SS Tripathy 2024 IEEE 13th International Conference on Communication Systems and Network …, 2024 | 1 | 2024 |
A Tight Approximation Towards the SEP Computation Over Nakagami-m Fading Channels T Mukherjee, D Senapati National Academy Science Letters 45 (5), 423-426, 2022 | 1 | 2022 |
Performance modeling of composite fading channels: an application to wearable wireless communication systems T Mukherjee, B Pati, CR Panigrahi, S Bebortta Discover Electronics 1 (1), 16, 2024 | | 2024 |
DynaFog: A Dynamic Task Offloading Framework for IoT-Based Fog Computing Platforms SS Tripathy, S Bebortta, T Mukherjee 2024 IEEE 13th International Conference on Communication Systems and Network …, 2024 | | 2024 |
Intelligent Machine Learning Framework for Classification of Vehicular Traffic in Internet of Vehicles B Tripathy, SS Tripathy, S Bebortta, T Mukherjee 2024 3rd International conference on Power Electronics and IoT Applications …, 2024 | | 2024 |
Superstatistics characterization of Composite Fading Channels using non-extensive Tsallis' Entropy framework DS Tanmay Mukherjee OURIIP, 2021 | | 2021 |
Adaptive Applications of Maximum Entropy Principle NKR Amit Kumar Singh, Dilip Senapati, Tanmay Mukherjee Progress in Advanced Computing and Intelligent Engineering - Proceedings of …, 2019 | | 2019 |
CSNT 2024 V Tilwari, P Maduranga, S Solanki, D Sharma, N Chakraborty, ... | | |
SUPERSTATISTICS CHARACTERIZATION OF COMPOSITE FADING CHANNELS USING NON-EXTENSIVE TSALLIS’ENTROPY FRAMEWORK T Mukherjee, S Bebortta, D Senapati Signal 10, 0, 0 | | |