Mobile relay and group mobility for 4G WiMAX networks. - Ravikumar Balakrishnan; Xiangying Yang; Muthaiah Venkatachalam; Ian F. Akyildiz (WCNC, 2011)

Cooperative spectrum sensing in cognitive radio networks: A survey. - Ian F. Akyildiz; Brandon F. Lo; Ravikumar Balakrishnan (Phys. Commun., 2011)

Traffic-aware utility based QoS provisioning in OFDMA hybrid smallcells. - Ravikumar Balakrishnan; Berk Canberk; Ian F. Akyildiz (ICC, 2013)

Enabling next generation small cells through femtorelays. - Ian F. Akyildiz; Elias Chavarria Reyes; David Manuel Gutiérrez Estévez; Ravikumar Balakrishnan; John R. Krier (Phys. Commun., 2013)

LTE-Advanced and the evolution to Beyond 4G (B4G) systems. - Ian F. Akyildiz; David Manuel Gutiérrez Estévez; Ravikumar Balakrishnan; Elias Chavarria Reyes (Phys. Commun., 2014)

Traffic-Aware QoS Provisioning and Admission Control in OFDMA Hybrid Small Cells. - Ravikumar Balakrishnan; Berk Canberk (IEEE Trans. Veh. Technol., 2014)

Local Anchor Schemes for Seamless and Low-Cost Handover in Coordinated Small Cells. - Ravikumar Balakrishnan; Ian F. Akyildiz (IEEE Trans. Mob. Comput., 2016)

Deep Reinforcement Learning Based Traffic- and Channel-Aware OFDMA Resource Allocation. - Ravikumar Balakrishnan; Kunal Sankhe; V. Srinivasa Somayazulu; Rath Vannithamby; Jerry Sydir (GLOBECOM, 2019)

Model-Assisted Deep Reinforcement Learning for Dynamic Wireless Scheduling. - Arjun Anand; Ravikumar Balakrishnan; V. Srinivasa Somayazulu; Rath Vannithamby (ACSSC, 2020)

Resource Management and Fairness for Federated Learning over Wireless Edge Networks. - Ravikumar Balakrishnan; Mustafa Riza Akdeniz; Sagar Dhakal; Nageen Himayat (SPAWC, 2020)

Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing. - Pinyarash Pinyoanuntapong; Tagore Pothuneedi; Ravikumar Balakrishnan; Minwoo Lee 001; Chen Chen 001; Pu Wang 001 (SEC, 2021)

Resource Management and Model Personalization for Federated Learning over Wireless Edge Networks. - Ravikumar Balakrishnan; Mustafa Riza Akdeniz; Sagar Dhakal; Arjun Anand; Ariela Zeira; Nageen Himayat (J. Sens. Actuator Networks, 2021)

Diverse Client Selection for Federated Learning via Submodular Maximization. - Ravikumar Balakrishnan; Tian Li 005; Tianyi Zhou 001; Nageen Himayat; Virginia Smith; Jeff A. Bilmes (ICLR, 2022)

EdgeML: Towards network-accelerated federated learning over wireless edge. - Pinyarash Pinyoanuntapong; Prabhu Janakaraj; Ravikumar Balakrishnan; Minwoo Lee 001; Chen Chen 001; Pu Wang 001 (Comput. Networks, 2022)

Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT. - Rita H. Wouhaybi; Ravikumar Balakrishnan; Navid Naderializadeh; Ahmad Beirami; Marco Di Felice; Shadi A. Noghabi; Anirudh Badam; Shugong Xu (IEEE Internet Things Mag., 2022)

Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World. - Shenghong Dai; S. M. Iftekharul Alam; Ravikumar Balakrishnan; Kangwook Lee 001; Suman Banerjee 001; Nageen Himayat (CCNC, 2023)

Leveraging Compute Heterogeneity in Federated Multi-Task Classification. - Aleksei A. Ponomarenko-Timofeev; Olga Galinina; Ravikumar Balakrishnan; Nageen Himayat; Sergey Andreev 001; Yevgeni Koucheryavy (ICUMT, 2023)

MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations. - Taojiannan Yang; Sijie Zhu; Matías Mendieta; Pu Wang 001; Ravikumar Balakrishnan; Minwoo Lee 001; Tao Han 002; Mubarak Shah; Chen Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management. - Ravikumar Balakrishnan; Marius Arvinte; Nageen Himayat; Hosein Nikopour; Hassnaa Moustafa (CoRR, 2024)

Buffer-based Gradient Projection for Continual Federated Learning. - Shenghong Dai; Jy-yong Sohn; Yicong Chen; S. M. Iftekharul Alam; Ravikumar Balakrishnan; Suman Banerjee 001; Nageen Himayat; Kangwook Lee 001 (Trans. Mach. Learn. Res., 2025)

VISOR: Visual Input-based Steering for Output Redirection in Vision-Language Models. - Mansi Phute; Ravikumar Balakrishnan (CoRR, 2025)

Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks. - Aleksei A. Ponomarenko-Timofeev; Olga Galinina; Ravikumar Balakrishnan; Nageen Himayat; Sergey Andreev 001; Yevgeni Koucheryavy (IEEE Trans. Mob. Comput., 2025)