A Hybrid Approach for Optimized Resource Allocation in a Deployed 4G Long Term Evolution (LTE) Network

Abstract

A 4G system is expected to provide an all-inclusive and secure all-IP based mobile broadband solution to laptop, wireless modems, computer, smart phones, and other mobile devices. Although many studies were conducted in the past, there are still many challenges to be met when resource allocation is to be performed in an optimal manner. In the light of the same, a hybrid approach for optimized resource allocation is proposed in a deployed 4G Long Term Evolution (LTE) network. For this to accomplish, firstly a comparative study of the state-of-the-art models has been performed to find out the most optimal method for resource allocation and then propose a hybrid approach to blend the merits of two or more techniques. So, in this article, four main techniques, namely, Binary Phase Shift Keying modulation (BPSK), Quadrature Phase Shift Keying (QPSK), Quadrature amplitude modulation (QAM), Orthogonal Frequency Division Multiplexing (OFDM), as modulation techniques have been compared. Since, OFDM outperformed the other modulation techniques, so, it has been integrated with QPSK and OFFT to obtain the most optimal resource allocation. Experimental results show that the proposed technique is simple and robust, and quite promising in the near future for deployed 4G LTE networks.

Authors and Affiliations

Bisma, Ravinder Pal Singh, Jasmeen Gill, and Dr. Monika Mehra

Keywords

Related Articles

Design of a Robust Hybrid Fuzzy Method for Medical Image Fusion

In this modern era, medical image processing is an indispensable part of many applications and practices in the medical domain. The images that are used should meet certain criteria, including having more accurate detail...

Integrating Monistic Theory, Neuro-Linguistic Programming, and AI for Developing Emotionally Healthy School Children- A Global and Indian Perspective

Emotional health plays a crucial role in the holistic development of school children, impacting their academic performance, social interactions, and overall well-being. This research article explores the potential of int...

Cyber Attack Detection Using Machine Learning Techniques in IoT Networks

The Internet of Things is a rapidly emerging technology (IoT). Thanks to numerous sensors, billions of smart objects (referred to as "Things") may acquire data about themselves and their environment. So they may regulate...

In-Depth Energy Analysis and Consumption Prediction of India

Today's world requires extremely efficient energy consumption. Demand is rising as a result of the industrial sector's quick advancements, making energy efficiency initiatives essential to reducing energy waste and satis...

WoT Based Contamination Monitoring System

Modernization and industrial development are disrupting the contamination 's equilibrium by releasing untreated harmful toxic elements into the atmosphere, resulting in contamination of basic ecosystem elements such as w...

Download PDF file
  • EP ID EP745996
  • DOI 10.55524/ijircst.2023.11.1.14
  • Views 1
  • Downloads 0

How To Cite

Bisma, Ravinder Pal Singh, Jasmeen Gill, and Dr. Monika Mehra (2023). A Hybrid Approach for Optimized Resource Allocation in a Deployed 4G Long Term Evolution (LTE) Network. International Journal of Innovative Research in Computer Science and Technology, 11(1), -. https://europub.co.uk/articles/-A-745996