| Mitigating jamming attack in 5G heterogeneous networks: A federated deep reinforcement learning approach H Sharma, N Kumar, R Tekchandani IEEE Transactions on Vehicular Technology 72 (2), 2439-2452, 2022 | 43 | 2022 |
| Embedded assistive stick for visually impaired persons H Sharma, M Tripathi, A Kumar, MS Gaur 2018 9th International Conference on Computing, Communication and Networking …, 2018 | 42 | 2018 |
| Deep learning based physical layer security for terrestrial communications in 5G and beyond networks: A survey H Sharma, N Kumar Physical Communication 57, 102002, 2023 | 37 | 2023 |
| Physical layer security using beamforming techniques for 5G and beyond networks: A systematic review H Sharma, N Kumar, R Tekchandani Physical Communication 54, 101791, 2022 | 33 | 2022 |
| Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV H Sharma, I Budhiraja, P Consul, N Kumar, D Garg, L Zhao, L Liu Proceedings of the 5th international ACM mobicom workshop on drone assisted …, 2022 | 31 | 2022 |
| Latency-energy tradeoff in connected autonomous vehicles: A deep reinforcement learning scheme I Budhiraja, N Kumar, H Sharma, M Elhoseny, Y Lakys, JJPC Rodrigues IEEE Transactions on Intelligent Transportation Systems 24 (11), 13296-13308, 2022 | 21 | 2022 |
| SecBoost: Secrecy-aware deep reinforcement learning based energy-efficient scheme for 5G HetNets H Sharma, N Kumar, RK Tekchandani IEEE Transactions on Mobile Computing 23 (2), 1401-1415, 2023 | 17 | 2023 |
| Deep learning enabled channel secrecy codes for physical layer security of UAVs in 5G and beyond networks H Sharma, N Kumar, RK Tekchandani, N Mohammad ICC 2022-IEEE International Conference on Communications, 1-6, 2022 | 12 | 2022 |
| Secrecy rate maximization for THz-enabled femto edge users using deep reinforcement learning in 6G H Sharma, I Budhiraja, N Kumar, RK Tekchandani IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022 | 12 | 2022 |
| Physical layer security of ami data transmission in smart grid environment H Sharma, N Kumar, BK Panigrahi 2019 IEEE Globecom Workshops (GC Wkshps), 1-6, 2019 | 9 | 2019 |
| Secrecy rate maximization in THz-aided heterogeneous networks: A deep reinforcement learning approach H Sharma, N Kumar, I Budhiraja, A Barnawi IEEE Transactions on Vehicular Technology 72 (10), 13490-13505, 2023 | 8 | 2023 |
| Modeling evapotranspiration in IoT based WSN for irrigation scheduling: An optimized DL approach G Sharma, H Sharma, S Jain, N Kumar GLOBECOM 2022-2022 IEEE Global Communications Conference, 1948-1953, 2022 | 6 | 2022 |
| Design and simulation of WSN for ZigBee based communication in multi-robot system H Sharma, M Rajesh 2017 International Conference on Energy, Communication, Data Analytics and …, 2017 | 5 | 2017 |
| AI-assisted secure data transmission techniques for next-generation HetNets: A review H Sharma, G Sharma, N Kumar Computer Communications 215, 74-90, 2024 | 4 | 2024 |
| Deep learning-based authentication framework for secure terrestrial communications in next generation heterogeneous networks H Sharma, N Kumar, BK Panigrahi, A Alotaibi IEEE Internet of Things Magazine 5 (4), 174-179, 2022 | 3 | 2022 |
| Secrecy Maximization for Pico Edge Users in 5G Backhaul HWNs: A Quantum RL Approach H Sharma, G Sharma, N Kumar 2022 IEEE International Conference on Advanced Networks and …, 2022 | 1 | 2022 |
Dr. Neeraj Kumar, SMIEEETIET IndiaEmail verificata su thapar.edu
