Krishan Kumar
Orcid: 0000-0003-4020-4051Affiliations:
- National Institute of Technology, Hamirpur, India
- Motilal Nehru National Institute of Technology, Allahabad, India (former)
According to our database1,
Krishan Kumar
authored at least 26 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Evolutionary Multi-Objective Optimization Algorithm for Resource Allocation Using Deep Neural Network in Ultra-Dense Networks.
IEEE Trans. Netw. Serv. Manag., April, 2024
2023
Imperfect CSI-Based Resource Management in Cognitive IoT Networks: A Deep Recurrent Reinforcement Learning Framework.
IEEE Trans. Cogn. Commun. Netw., October, 2023
Energy Efficient Clustering and Resource Allocation Strategy for Ultra-Dense Networks: A Machine Learning Framework.
IEEE Trans. Netw. Serv. Manag., June, 2023
Deep Recurrent Reinforcement Learning-Based Distributed Dynamic Spectrum Access in Multichannel Wireless Networks With Imperfect Feedback.
IEEE Trans. Cogn. Commun. Netw., April, 2023
2022
A Reinforcement Learning-Based Green Resource Allocation for Heterogeneous Services in Cooperative Cognitive Radio Networks.
IEEE Trans. Netw. Serv. Manag., 2022
AFSOS: An Auction Framework and Stackelberg Game Oriented Optimal Network's Resource Selection Technique in Cognitive Radio Networks.
IEEE Trans. Netw. Serv. Manag., 2022
Imperfect CSI Based Intelligent Dynamic Spectrum Management Using Cooperative Reinforcement Learning Framework in Cognitive Radio Networks.
IEEE Trans. Mob. Comput., 2022
Deep Learning-Based Joint NOMA Signal Detection and Power Allocation in Cognitive Radio Networks.
IEEE Trans. Cogn. Commun. Netw., 2022
Group mobility assisted network selection framework in 5G vehicular cognitive radio networks.
Phys. Commun., 2022
A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks.
J. Exp. Theor. Artif. Intell., 2022
2021
A Game Theory Based Hybrid NOMA for Efficient Resource Optimization in Cognitive Radio Networks.
IEEE Trans. Netw. Sci. Eng., 2021
Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey.
Phys. Commun., 2021
2020
Application aware networks' resource selection decision making technique using group mobility in vehicular cognitive radio networks.
Veh. Commun., 2020
Energy-Efficient Resource Allocation in Cognitive Radio Networks Under Cooperative Multi-Agent Model-Free Reinforcement Learning Schemes.
IEEE Trans. Netw. Serv. Manag., 2020
Phys. Commun., 2020
Intelligent spectrum management based on reinforcement learning schemes in cooperative cognitive radio networks.
Phys. Commun., 2020
A Reinforcement Learning based evolutionary multi-objective optimization algorithm for spectrum allocation in Cognitive Radio networks.
Phys. Commun., 2020
Digit. Commun. Networks, 2020
2019
Progression on spectrum sensing for cognitive radio networks: A survey, classification, challenges and future research issues.
J. Netw. Comput. Appl., 2019
2017
A Spectrum Handoff Scheme for Optimal Network Selection in NEMO Based Cognitive Radio Vehicular Networks.
Wirel. Commun. Mob. Comput., 2017
A spectrum handoff scheme for optimal network selection in Cognitive Radio vehicular networks: A game theoretic auction theory approach.
Phys. Commun., 2017
A proactive spectrum handoff scheme with efficient spectrum utilisation for cognitive radio ad hoc networks.
Int. J. Internet Protoc. Technol., 2017
Int. J. Ad Hoc Ubiquitous Comput., 2017
Spectrum handoff scheme with multiple attributes decision making for optimal network selection in cognitive radio networks.
Digit. Commun. Networks, 2017
2016
Spectrum handoff in cognitive radio networks: A classification and comprehensive survey.
J. Netw. Comput. Appl., 2016