Abstract
Resource allocation in 5G network is briefly analyzed and a number of schemes are described in literature which consider the device level interference and bandwidth conditions. However, they suffer to meet the performance requirement in resource allocation which in turn produces poor QoS performance. With the consideration to maximize resource allocation performance, a QoS-aware resource allocation scheme (QRAS) model is presented in this article. Unlike other approaches, the model utilizes the base stations with Internet of Things (IoT) devices in part of routing as well as resource allocation to meet and increase the QoS performance. The model monitors a set of base stations, LTE, bandwidth of devices, and other radio devices in the network with IoT devices. Using the devices identified, the method collects a set of routes with higher bandwidth and poor traffic pattern. The method computes the QoS Maximization Support (QMS) according to different factors like interference, traffic, angle of antenna, trust of IoT nodes, and others toward all routes discovered. Based on the QMS value, the method selects a specific route and devices to allocate the resource to perform transmission.
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Data Availability
The dataset generated and analyzed during the current study are available from the corresponding author on reasonable request.
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The authors acknowledged the Periyar University, Salem and RD National College of Arts and Science, Erode for supporting the research work by providing the facilities.
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This article is part of the topical collection “Advances in Computational Approaches for Image Processing, Wireless Networks, Cloud Applications and Network Security” guest edited by P. Raviraj, Maode Ma and Roopashree H R.
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Gowri, S., Vimalanand, S. QoS-Aware Resource Allocation Scheme for Improved Transmission in 5G Networks with IOT. SN COMPUT. SCI. 5, 234 (2024). https://doi.org/10.1007/s42979-023-02563-w
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DOI: https://doi.org/10.1007/s42979-023-02563-w