| Impact of IEEE 802.11 n/ac PHY/MAC high throughput enhancements on transport and application protocols—A survey R Karmakar, S Chattopadhyay, S Chakraborty IEEE Communications Surveys & Tutorials 19 (4), 2050-2091, 2017 | 141 | 2017 |
| A survey of VANET/V2X routing from the perspective of non-learning-and learning-based approaches T Chatterjee, R Karmakar, G Kaddoum, S Chattopadhyay, S Chakraborty IEEE Access 10, 23022-23050, 2022 | 42 | 2022 |
| SmartLA: Reinforcement learning-based link adaptation for high throughput wireless access networks R Karmakar, S Chattopadhyay, S Chakraborty Computer Communications 110, 1-25, 2017 | 31 | 2017 |
| Dynamic link adaptation in IEEE 802.11 ac: A distributed learning based approach R Karmakar, S Chattopadhyay, S Chakraborty 2016 IEEE 41st Conference on Local Computer Networks (LCN), 87-94, 2016 | 30 | 2016 |
| Mobility management in 5G and beyond: a novel smart handover with adaptive Time-to-trigger and hysteresis margin R Karmakar, G Kaddoum, S Chattopadhyay IEEE Transactions on Mobile Computing 22 (10), 5995-6010, 2022 | 26 | 2022 |
| Intelligent MU-MIMO user selection with dynamic link adaptation in IEEE 802.11 ax R Karmakar, S Chattopadhyay, S Chakraborty IEEE Transactions on Wireless Communications 18 (2), 1155-1165, 2019 | 25 | 2019 |
| Dynamic link adaptation for high throughput wireless access networks R Karmakar, S Chattopadhyay, S Chakraborty 2015 IEEE International Conference on Advanced Networks and …, 2015 | 21 | 2015 |
| IEEE 802.11 ac link adaptation under mobility R Karmakar, S Chattopadhyay, S Chakraborty 2017 IEEE 42nd Conference on Local Computer Networks (LCN), 392-400, 2017 | 18 | 2017 |
| How can applications of blockchain and artificial intelligence improve performance of Internet of Things?–A survey P Bothra, R Karmakar, S Bhattacharya, S De Computer Networks 224, 109634, 2023 | 15 | 2023 |
| An online learning approach for auto link-Configuration in IEEE 802.11 ac wireless networks R Karmakar, S Chattopadhyay, S Chakraborty Computer Networks 181, 107426, 2020 | 15 | 2020 |
| How can machine learning impact on wireless network and IoT?–A survey S Laha, N Chowdhury, R Karmakar 2020 11th International conference on computing, communication and …, 2020 | 14 | 2020 |
| FCW: A Forward Collision Warning System Using Convolutional Neural Network S Kumar, V Shaw, J Maitra, R Karmakar 2020 International Conference on Electrical and Electronics Engineering …, 2020 | 14 | 2020 |
| Performance modeling and analysis of high throughput wireless media access with QoS in noisy channel for different traffic conditions R Karmakar, P Swain, S Chattopadhyay, S Chakraborty 2016 8th International Conference on Communication Systems and Networks …, 2016 | 14 | 2016 |
| Towards 6G communications: Architecture, challenges, and future directions P Mitra, R Bhattacharjee, T Chatterjee, S De, R Karmakar, A Ghosh, ... 2021 12th International Conference on Computing Communication and Networking …, 2021 | 13 | 2021 |
| PTC: Pick-test-choose to place containerized micro-services in IoT SB Nath, S Chattopadhyay, R Karmakar, SK Addya, S Chakraborty, ... 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 13 | 2019 |
| Channel access fairness in IEEE 802.11 ac: A retrospective analysis and protocol enhancement R Karmakar, S Chattopadhyay, S Chakraborty Proceedings of the 14th ACM International Symposium on Mobility Management …, 2016 | 13 | 2016 |
| A learning-based dynamic clustering for coordinated multi-point (CoMP) operation with carrier aggregation in LTE-advanced R Karmakar, S Chattopadhyay, S Chakraborty 2018 10th international conference on communication systems & networks …, 2018 | 11 | 2018 |
| Online learning-based energy-efficient frame aggregation in high throughput WLANs R Karmakar IEEE Communications Letters 23 (4), 712-715, 2019 | 10 | 2019 |
| A deep probabilistic control machinery for auto-configuration of WiFi link parameters R Karmakar, S Chattopadhyay, S Chakraborty IEEE Transactions on Wireless Communications 19 (12), 8330-8340, 2020 | 9 | 2020 |
| SmartBond: A deep probabilistic machinery for smart channel bonding in IEEE 802.11 ac R Karmakar, S Chattopadhyay, S Chakraborty IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2599-2608, 2020 | 9 | 2020 |
Sandip ChakrabortyAssociate Professor, Indian Institute of Technology Kharagpur在 cse.iitkgp.ac.in 的电子邮件经过验证
