RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications
ABSTRACT In the rapidly evolving landscape of 5G/6G networks, efficient resource optimization is critical to addressing the escalating demands for high‐speed, low‐latency, and energy‐efficient communication. This study explores the integration of Radio Frequency Identification (RFID) technology as a...
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Wiley
2025-06-01
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| Series: | Engineering Reports |
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| Online Access: | https://doi.org/10.1002/eng2.70218 |
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| author | Stella N. Arinze Augustine O. Nwajana |
| author_facet | Stella N. Arinze Augustine O. Nwajana |
| author_sort | Stella N. Arinze |
| collection | DOAJ |
| description | ABSTRACT In the rapidly evolving landscape of 5G/6G networks, efficient resource optimization is critical to addressing the escalating demands for high‐speed, low‐latency, and energy‐efficient communication. This study explores the integration of Radio Frequency Identification (RFID) technology as a novel approach to enhance resource management in 5G networks. The motivation behind this research lies in overcoming persistent challenges such as spectrum congestion, high latency, and inefficient load balancing, which impede the performance of traditional resource allocation methods. To achieve this, RFID tags were embedded in critical network components, including user devices, base stations, and Internet of Things (IoT) nodes, enabling the collection of real‐time data on device status, location, and resource utilization. RFID readers strategically placed across the network continuously captured this data, which was processed by a centralized controller using a custom‐designed optimization algorithm. This algorithm dynamically managed key network resources, including spectrum allocation, load balancing, and energy consumption, ensuring efficient operation under varying network conditions. Simulations were conducted to evaluate the performance of the RFID‐based model against traditional 4G dynamic resource allocation techniques. The results demonstrated substantial improvements in key performance metrics. The proposed system achieved a 25% increase in spectrum utilization, a 30% reduction in average latency, a 15% boost in network throughput, and a 20% decrease in overall energy consumption. These gains highlight the effectiveness of the RFID‐based optimization model in meeting the stringent performance requirements of 5G networks, particularly in high‐density deployments. This study provides a scalable, cost‐effective solution for optimizing resource management in 5G and lays the groundwork for future advancements in 6G networks. By leveraging real‐time data and intelligent resource allocation, the proposed model addresses critical challenges in modern communication systems, ensuring enhanced network efficiency, reliability, and sustainability. |
| format | Article |
| id | doaj-art-c03d0ffd39604057b4eb3aa9f41acdf1 |
| institution | Matheson Library |
| issn | 2577-8196 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Engineering Reports |
| spelling | doaj-art-c03d0ffd39604057b4eb3aa9f41acdf12025-06-27T00:38:48ZengWileyEngineering Reports2577-81962025-06-0176n/an/a10.1002/eng2.70218RFID‐Based Enhanced Resource Optimization for 5G/6G Network ApplicationsStella N. Arinze0Augustine O. Nwajana1Department of Electrical and Electronic Engineering Enugu State University of Science and Technology Enugu NigeriaSchool of Engineering University of Greenwich Kent UKABSTRACT In the rapidly evolving landscape of 5G/6G networks, efficient resource optimization is critical to addressing the escalating demands for high‐speed, low‐latency, and energy‐efficient communication. This study explores the integration of Radio Frequency Identification (RFID) technology as a novel approach to enhance resource management in 5G networks. The motivation behind this research lies in overcoming persistent challenges such as spectrum congestion, high latency, and inefficient load balancing, which impede the performance of traditional resource allocation methods. To achieve this, RFID tags were embedded in critical network components, including user devices, base stations, and Internet of Things (IoT) nodes, enabling the collection of real‐time data on device status, location, and resource utilization. RFID readers strategically placed across the network continuously captured this data, which was processed by a centralized controller using a custom‐designed optimization algorithm. This algorithm dynamically managed key network resources, including spectrum allocation, load balancing, and energy consumption, ensuring efficient operation under varying network conditions. Simulations were conducted to evaluate the performance of the RFID‐based model against traditional 4G dynamic resource allocation techniques. The results demonstrated substantial improvements in key performance metrics. The proposed system achieved a 25% increase in spectrum utilization, a 30% reduction in average latency, a 15% boost in network throughput, and a 20% decrease in overall energy consumption. These gains highlight the effectiveness of the RFID‐based optimization model in meeting the stringent performance requirements of 5G networks, particularly in high‐density deployments. This study provides a scalable, cost‐effective solution for optimizing resource management in 5G and lays the groundwork for future advancements in 6G networks. By leveraging real‐time data and intelligent resource allocation, the proposed model addresses critical challenges in modern communication systems, ensuring enhanced network efficiency, reliability, and sustainability.https://doi.org/10.1002/eng2.702185G/6G networknetwork performanceradiofrequency identificationresource optimization |
| spellingShingle | Stella N. Arinze Augustine O. Nwajana RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications Engineering Reports 5G/6G network network performance radiofrequency identification resource optimization |
| title | RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications |
| title_full | RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications |
| title_fullStr | RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications |
| title_full_unstemmed | RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications |
| title_short | RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications |
| title_sort | rfid based enhanced resource optimization for 5g 6g network applications |
| topic | 5G/6G network network performance radiofrequency identification resource optimization |
| url | https://doi.org/10.1002/eng2.70218 |
| work_keys_str_mv | AT stellanarinze rfidbasedenhancedresourceoptimizationfor5g6gnetworkapplications AT augustineonwajana rfidbasedenhancedresourceoptimizationfor5g6gnetworkapplications |