Page | 67 ISSN 2277-7067 UGC CARE Group 1 Volume- VIII, Issue 12, 2021-2022 HYBRID TRAFFIC ALLOCATION USING APPLICATION-AWARE ALLOCATION OF RESOURCES IN CELLULAR NETWORKS V. Rajkumar Research Scholar, Dept. of Computer Science, Dr. V. Maniraj Research Advisor, PG and Research Dept. of Computer Science, AVVM Sri Pushpam College, Poondi, Thanjavur, (Affiliated to Bharathidasan University), ORCID ID: 0000-0002-8113-2616 ABSTRACT In current cellular networks, the data created by delay-tolerant and real-time applications, which includes elastic and inelastic data, together constitute the vast majority of the traffic. systems that help handle and adapt to applications' varying needs for resources, networks' intelligence about application traffic, and networks' ability to handle temporal variations in application traffic are critical to realizing optimal resource assignment for these concerns and thus to improving the overall Quality-of-Experience (QoE). The focus of the research in question is on establishing a convex proportional equity resource allocation approach for cognitive cellular systems capable of thinking about traffic patterns, which exist throughout time and how priority levels may be accommodated. Conceptually similar and decentralized central and distributed formulas are established, together with algorithms for solution and convergence. The centralization strategy has been shown to have reduced overhead transmission, with upper limitations on it, for the centralized and dispersed approaches. This report describes the varying bidding situations, based on the dynamic nature of the system, with regards to changes in the amount and usage of user equipment (UEs). INTRODUCTION The rapid increase in subscribers and the increasing amount of data being carried are both the direct result of the predominance of multi-service service frameworks, such as MNO frameworks, and of smart devices that have very specific needs for data throughput. From this point forward, the QoE is enhanced by proportionately dispersing the resources needed to outfit Cognitive cell networks with the necessary application intelligence. For this purpose, real-time applications must use a minimum bit rate of 128 kbps, but delay- tolerant apps can utilize bit rates between 64 kbps and 256 kbps. The service provider will further fine-tune the resource distribution by taking into consideration prioritizations of various users as well as application use variance. The variance in temporal consumption includes an example where a user has an email programmer running in the foreground, which represents the