Spectrum handoff in cognitive radio networks: A classification and comprehensive survey. - Krishan Kumar 002; Arun Prakash; Rajeev Tripathi (J. Netw. Comput. Appl., 2016)

Spectrum handoff scheme with multiple attributes decision making for optimal network selection in cognitive radio networks. - Krishan Kumar 002; Arun Prakash; Rajeev Tripathi (Digit. Commun. Networks, 2017)

Context aware spectrum handoff scheme in cognitive radio vehicular networks. - Krishan Kumar 002; Arun Prakash; Rajeev Tripathi (Int. J. Ad Hoc Ubiquitous Comput., 2017)

A proactive spectrum handoff scheme with efficient spectrum utilisation for cognitive radio ad hoc networks. - Krishan Kumar 002; Ganesh Prasad Mishra; Arun Prakash; Rajeev Tripathi (Int. J. Internet Protoc. Technol., 2017)

A spectrum handoff scheme for optimal network selection in Cognitive Radio vehicular networks: A game theoretic auction theory approach. - Krishan Kumar 002; Arun Prakash; Rajeev Tripathi (Phys. Commun., 2017)

A Spectrum Handoff Scheme for Optimal Network Selection in NEMO Based Cognitive Radio Vehicular Networks. - Krishan Kumar 002; Arun Prakash; Rajeev Tripathi (Wirel. Commun. Mob. Comput., 2017)

Progression on spectrum sensing for cognitive radio networks: A survey, classification, challenges and future research issues. - Mani Shekhar Gupta; Krishan Kumar 002 (J. Netw. Comput. Appl., 2019)

Network selection in cognitive radio enabled Wireless Body Area Networks. - Monish Bhatia; Krishan Kumar 002 (Digit. Commun. Networks, 2020)

A Reinforcement Learning based evolutionary multi-objective optimization algorithm for spectrum allocation in Cognitive Radio networks. - Amandeep Kaur 002; Krishan Kumar 002 (Phys. Commun., 2020)

Intelligent spectrum management based on reinforcement learning schemes in cooperative cognitive radio networks. - Amandeep Kaur 002; Krishan Kumar 002 (Phys. Commun., 2020)

Multiple access schemes for Cognitive Radio networks: A survey. - Ashok Kumar; Krishan Kumar 002 (Phys. Commun., 2020)

Relay sharing with DF and AF techniques in NOMA assisted Cognitive Radio Networks. - Ashok Kumar; Krishan Kumar 002 (Phys. Commun., 2020)

Energy-Efficient Resource Allocation in Cognitive Radio Networks Under Cooperative Multi-Agent Model-Free Reinforcement Learning Schemes. - Amandeep Kaur 002; Krishan Kumar 002 (IEEE Trans. Netw. Serv. Manag., 2020)

Application aware networks' resource selection decision making technique using group mobility in vehicular cognitive radio networks. - Mani Shekhar Gupta; Krishan Kumar 002 (Veh. Commun., 2020)

Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey. - Nidhi Sharma; Krishan Kumar 002 (Phys. Commun., 2021)

A Game Theory Based Hybrid NOMA for Efficient Resource Optimization in Cognitive Radio Networks. - Ashok Kumar; Krishan Kumar 002 (IEEE Trans. Netw. Sci. Eng., 2021)

A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks. - Amandeep Kaur 002; Krishan Kumar 002 (J. Exp. Theor. Artif. Intell., 2022)

Group mobility assisted network selection framework in 5G vehicular cognitive radio networks. - Mani Shekhar Gupta; Krishan Kumar 002 (Phys. Commun., 2022)

Deep Learning-Based Joint NOMA Signal Detection and Power Allocation in Cognitive Radio Networks. - Ashok Kumar; Krishan Kumar 002 (IEEE Trans. Cogn. Commun. Netw., 2022)

Imperfect CSI Based Intelligent Dynamic Spectrum Management Using Cooperative Reinforcement Learning Framework in Cognitive Radio Networks. - Amandeep Kaur 002; Krishan Kumar 002 (IEEE Trans. Mob. Comput., 2022)

AFSOS: An Auction Framework and Stackelberg Game Oriented Optimal Network's Resource Selection Technique in Cognitive Radio Networks. - Mani Shekhar Gupta; Krishan Kumar 002 (IEEE Trans. Netw. Serv. Manag., 2022)

A Reinforcement Learning-Based Green Resource Allocation for Heterogeneous Services in Cooperative Cognitive Radio Networks. - Amandeep Kaur 002; Krishan Kumar 002 (IEEE Trans. Netw. Serv. Manag., 2022)

Deep Recurrent Reinforcement Learning-Based Distributed Dynamic Spectrum Access in Multichannel Wireless Networks With Imperfect Feedback. - Amandeep Kaur 002; Jaismin Thakur; Mukul Thakur; Krishan Kumar 002; Arun Prakash; Rajeev Tripathi (IEEE Trans. Cogn. Commun. Netw., 2023)

Energy Efficient Clustering and Resource Allocation Strategy for Ultra-Dense Networks: A Machine Learning Framework. - Nidhi Sharma; Krishan Kumar 002 (IEEE Trans. Netw. Serv. Manag., 2023)

Imperfect CSI-Based Resource Management in Cognitive IoT Networks: A Deep Recurrent Reinforcement Learning Framework. - Amandeep Kaur 002; Krishan Kumar 002; Arun Prakash; Rajeev Tripathi (IEEE Trans. Cogn. Commun. Netw., 2023)

Evolutionary Multi-Objective Optimization Algorithm for Resource Allocation Using Deep Neural Network in Ultra-Dense Networks. - Nidhi Sharma; Krishan Kumar 002 (IEEE Trans. Netw. Serv. Manag., 2024)

A Novel Latency-Aware Resource Allocation and Offloading Strategy With Improved Prioritization and DDQN for Edge-Enabled UDNs. - Nidhi Sharma; Krishan Kumar 002 (IEEE Trans. Netw. Serv. Manag., 2024)

RORA: Reinforcement learning based optimal distributed resource allocation strategies in vehicular cognitive radio networks for 6G. - Mani Shekhar Gupta; Akanksha Srivastava; Krishan Kumar 002 (Veh. Commun., 2025)

A Deep Learning Approach for Throughput Enhanced Clustering and Spectrally Efficient Resource Allocation in Ultra-Dense Networks. - Saksham Katwal; Nidhi Sharma; Krishan Kumar 002 (IEEE Trans. Netw. Serv. Manag., 2025)

PORA: A Proactive Optimal Resource Allocation Framework for Spectrum Management in Cognitive Radio Networks. - Mani Shekhar Gupta; Akanksha Srivastava; Krishan Kumar 002 (IEEE Trans. Netw. Serv. Manag., 2025)