Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Dsouza, Mithun; Sreenivasa, B.L.; Sathyanarayana, S.; Landage, Rajkumar Prabhakar; Sajiv, G.; Karthik, M. Title A name given to the resource Carbon Footprint Minimization in 5G Networks Using Blockchain Integrated Renewable Energy Management Framework Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 IEEE Pune Section International Conference, PuneCon 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/PuneCon67554.2025.11378716" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/PuneCon67554.2025.11378716</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034698065?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034698065?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dsouza M., Christ (Deemed to be University), Department of Computer Science, Karnataka, Bangalore, India; Sreenivasa B.L., School of It, St Aloysius (deemed to be university), Institute of Management and Information Technology, Mangalore, India; Sathyanarayana S., Daksha First Grade College, Department of Computer science, Mysore, India; Landage R.P., Punyashlok Ahilyadevi Holkar Solapur University, N B Navale Sinhgad College of Engineering, Department: Electrical, Maharashtra, Solapur, India; Sajiv G., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences [SIMATS], Saveetha University, Department of Ece, Tamil Nadu, Chennai, India; Karthik M., K.Ramakrishnan College of Engineering, Department of Ai &amp; Ds, Trichy, India Description An account of the resource The rapid growth of 5G networks has created a huge upsurge in energy consumption, raising severe issues regarding carbon emissions and sustainability. Although current strategies like energy-efficient routing, smart grid optimization, and renewable energy integration have tried to counter these impacts, they suffer from a lack of real-time optimization and decentralized control, leading to inefficient carbon reduction and unacceptable energy cost efficiency. In order to fill these gaps, this study presents a novel framework known as BAREO-LP (Blockchain-Assisted Renewable Energy Optimization using Linear Programming) which incorporates blockchain-based peer-to-peer energy trading, renewable energy (solar and battery) modeling, and an emission-conscious linear programming optimization framework. The developed model is utilized through the Python programming language and evaluated on the publicly available 5G-Energy Consumption Dataset from Kaggle. Experimental outcomes show a 58% decrease in carbon emissions and a 32% cost reduction against conventional grid-based and smart grid scenarios. The method also gains an accuracy gain of 16% in energy demand forecasting with minimized load balancing and resource optimization. The blockchain module provides trust and transparency in peer-to-peer energy trading, making the model scalable and realizable in real-world 5G implementations. This multi-faceted strategy sets a new standard for green communication infrastructures and calls for further investigation in sustainable 5G network planning. 2025 IEEE. Subject The topic of the resource Blockchain; Carbon Emission; Carbon Footprint; Linear Programming; Renewable Energy Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833158834-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online