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 Rao, M Nagabhushana; Paulin, M Sudha; Varghese, Juvitha; Rekha, N.; Rekha, M.D.; Gogineni, Saikiran Title A name given to the resource Quantum-Assisted Metaheuristics for Adaptive Resource Allocation in 6G Networks 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 International Conference on Future Technologies, ICFT 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICFT66708.2025.11336371" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICFT66708.2025.11336371</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033685667?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033685667?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 Rao M.N., School of Computer Science &amp; Technology, Malla Reddy (MR) Deemed to Be University, Dept. of CSE, Telangana, India; Paulin M.S., School of Business and Management, Christ University, Bangalore, India; Varghese J., School of Management, Kristu Jayanti College (Autonomous), Bangalore, India; Rekha N., School of Commerce, Finance and Accountancy, Christ (Deemed to Be) University, Bangalore, India; Rekha M.D., Department of Commerce, Christ (Deemed to Be University), Bangalore, India; Gogineni S., School of Computer Science &amp; Engineering, Malla Reddy (MR) Deemed to Be University, Dept. of CSE, Telangana, India Description An account of the resource With 6G wireless communication systems, the level of demands is now ultra-low-latency, connectivity of devices in large numbers, and flexible spectrum utilization. To resolve these issues, in the current paper, the Quantum-Assisted Metaheuristic (QAM) framework is proposed that combines quantum-inspired operators and traditional metaheuristic methods of adaptive resource allocation in 6G networks. This framework uses quantum-enhanced exploration, dynamically tuned parameters and hybrid quantum-classical computing to trade-off scalability against efficiency, depending on the traffic and channel conditions. Oh! SIM Evaluating a simulated 6G environment, it proves that QAM can be used to improve spectral efficiency by up to 28 percent and the allocation latency by 31 percent over the state-of-the-art metaheuristics, and still treats users of varying densities fairly with a fairness index of 0.94. The results demonstrate the strength and extensiveness of the QAM, and makes it a viable solution to the efficient and intelligent management of resources in next generation wireless networks. 2025 IEEE. Subject The topic of the resource 6G networks; adaptive resource allocation; low latency; metaheuristics; network optimization; quantum computing; spectrum management Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833156815-3; 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