Primary user detection in OFDM based MIMO Cognitive Radio. - Vijaykumar Kuppusamy; Rajarshi Mahapatra (CrownCom, 2008)

Cyclostationary detection for cognitive radio with multiple receivers. - Rajarshi Mahapatra; M. Krusheel (ISWCS, 2008)

Radio resource management in femtocell downlink exploiting location information. - Rajarshi Mahapatra; Emilio Calvanese Strinati (IEEE ANTS, 2011)

Interference-aware dynamic spectrum access in cognitive radio network. - Rajarshi Mahapatra; Emilio Calvanese Strinati (PIMRC, 2011)

Green framework for future heterogeneous wireless networks. - Rajarshi Mahapatra; Antonio De Domenico; Rohit Gupta 006; Emilio Calvanese Strinati (Comput. Networks, 2013)

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey. - Rajarshi Mahapatra; Yogesh Nijsure; Georges Kaddoum; Naveed Ul Hassan; Chau Yuen (IEEE Commun. Surv. Tutorials, 2016)

Adaptive Air-to-Ground Secure Communication System Based on ADS-B and Wide-Area Multilateration. - Yogesh Anil Nijsure; Georges Kaddoum; Ghyslain Gagnon; François Gagnon; Chau Yuen; Rajarshi Mahapatra (IEEE Trans. Veh. Technol., 2016)

Energy efficient radio resource management for heterogeneous wireless network using CoMP. - Parkash Chand; Rajarshi Mahapatra; Rishi Prakash (Wirel. Networks, 2016)

Participation of Optical Backbone Network in Successful Advancement of Wireless Network. - Rajarshi Mahapatra (Wirel. Pers. Commun., 2017)

Deep Learning Based Massive-MIMO Decoder. - Satish Kumar; Anurag Singh 002; Rajarshi Mahapatra (ANTS, 2019)

Hardware Implementation of Automatic Modulation Classification with Deep Learning. - Satish Kumar; Anurag Singh 002; Rajarshi Mahapatra (ANTS, 2019)

Suśruta: Artificial Intelligence and Bayesian Knowledge Network in Health Care - Smartphone Apps for Diagnosis and Differentiation of Anemias with Higher Accuracy at Resource Constrained Point-of-Care Settings. - Shubham Yadav; Sakthi Ganesh; Debanjan Das; U. Venkanna 001; Rajarshi Mahapatra; Ankur Kumar Shrivastava; Prantar Chakrabarti; Asoke K. Talukder (BDA, 2019)

Adaptive Threshold Detection and ISI Mitigation in Mobile Molecular Communication. - Amit Kumar Shrivastava; Debanjan Das; Rajarshi Mahapatra (WCNC, 2020)

Scaled Conjugate Gradient Algorithm for Neural Network Detector in Mobile Molecular Communication. - Amit K. Shrivastava; Debanjan Das; Rajarshi Mahapatra; Neeraj Varshney (GLOBECOM, 2021)

Particle-Based Simulation of the Differential Detectors for Mobile Molecular Communication. - Amit Kumar Shrivastava; Debanjan Das; Rajarshi Mahapatra (IEEE Commun. Lett., 2021)

Performance Evaluation of Mobile Molecular Communication System Using Neural Network Detector. - Amit Kumar Shrivastava; Debanjan Das; Rajarshi Mahapatra (IEEE Wirel. Commun. Lett., 2021)

Power allocation in 5G HetNets: A Federated Learning Approach. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (ANTS, 2022)

Deep Learning Aided Multi-user mmWave massive-MIMO Hybrid Beamforming. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (ANTS, 2022)

Automatic Modulation Recognition: An FPGA Implementation. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (IEEE Commun. Lett., 2022)

Decoder Design for Massive-MIMO Systems Using Deep Learning. - Satish Kumar; Rajarshi Mahapatra; Preetam Kumar; Anurag Singh 002 (IEEE Syst. J., 2022)

dLeak: An IoT-Based Gas Leak Detection Framework for Smart Factory. - Anamika Rajbanshi; Debanjan Das; Venkanna Uduthalapally; Rajarshi Mahapatra (SN Comput. Sci., 2022)

TSDSI Standards Driven Implementation of Smart Radio Environment. - Amit K. Shrivastava; Satish Kumar; Khushboo Sahu; Bhavesh Sonwani; Dixit Sharma; Dipti S. Srivastava; Navneet Garg 001; Arzad Alam Kherani; Vimal Bhatia; Soumava Mukherjee; Samrat Mukhopadhyay; Priyanka Das 001; et al. (ANTS, 2023)

SDN-Based Seamless Mobility Management for B5G Services in High-Speed Railways. - Amar Sinha; Venkanna Uduthalapally; Debanjan Das; Rajarshi Mahapatra (ANTS, 2023)

XAIA: An Explainable AI Approach for Classification and Analysis of Blood Anemia. - Jyoti Prajapati; Venkanna Uduthalapally; Debanjan Das; Rajarshi Mahapatra; Preetam Narayan Wasnik (OCIT, 2023)

Multi-User mmWave Massive-MIMO Hybrid Beamforming: A Quantize Deep Learning Approach. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (NCC, 2023)

Detection and ISI mitigation in mobile molecular communication system for targeted drug delivery. - Amit Kumar Shrivastava; Debanjan Das; Rajarshi Mahapatra (Nano Commun. Networks, 2023)

TRFI-Net: Modified TRFI-Based Channel Estimation for Internet of Vehicles. - Dipanjan Sar; Debanjan Das; Rajarshi Mahapatra; Venkanna Uduthalapally (ANTS, 2024)

AnDet: ML-Based Anomaly Detection of UEs in a Multi-cell B5G Mobile Network for Improved QoS. - Amar Sinha; Anmol Agrawal; Sandip Roy 001; Venkanna Uduthalapally; Debanjan Das; Rajarshi Mahapatra; Sachin Shetty (ICNC, 2024)

A learning-based uplink massive-MIMO decoder. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (Wirel. Networks, 2025)