Analysis, Modeling and Enhancement of LTE-A Heterogeneous Networks in a Real-World Environment
type: CreativeWork
description: During the past decades, cellular networks have been greatly developed. An increasing number of devices such as tablets and mobile phones are connected to cellular networks. The heterogeneous networks (HetNets) play an important role in serving users with different requirements and huge data demands. LTE-A HetNets have been extensively studied for many years. However, most research works have focused on theoretic studies of LTE-A HetNets. Only a few researchers have a chance to access and study the actual HetNets. A big gap exists between theories and actual applications for cellular networks. It is essential to understand the mechanism of HetNets in real-world environments for better network performance. Building a traffic model that is more suitable for the real-world environment is necessary not only for network operators to provide better service and save costs, but also for users to have better experience with strong received signals. This thesis analyzes and evaluates measured data from a real-world LTE-A HetNet, models user traffic in the actual environment, and optimizes the HetNet using the developed models. In this thesis, the real-world LTE-A HetNet is studied in detail. Both the aggregate data and UE (user equipment)’s data are investigated. The main goal is to study the actual environment, understand the mechanisms of the actual system, and model and optimize the users’ actual data traffic in the real-world environment in this thesis. The aggregate data (cell level data) for the HetNet at the University of Regina are analyzed and modeled in detail for all the cells in the actual HetNet. Four indicators are introduced to evaluate the performance of cell level data. In addition, a series of data collection activities are performed at the University of Regina to better understand the real-world LTE-A HetNet. These tests are intended to analyze and evaluate the baseline of the network and measure the dynamic response of the system when the network settings …
abstract: During the past decades, cellular networks have been greatly developed. An increasing number of devices such as tablets and mobile phones are connected to cellular networks. The heterogeneous networks (HetNets) play an important role in serving users with different requirements and huge data demands. LTE-A HetNets have been extensively studied for many years. However, most research works have focused on theoretic studies of LTE-A HetNets. Only a few researchers have a chance to access and study the actual HetNets. A big gap exists between theories and actual applications for cellular networks. It is essential to understand the mechanism of HetNets in real-world environments for better network performance. Building a traffic model that is more suitable for the real-world environment is necessary not only for network operators to provide better service and save costs, but also for users to have better experience with strong received signals. This thesis analyzes and evaluates measured data from a real-world LTE-A HetNet, models user traffic in the actual environment, and optimizes the HetNet using the developed models. In this thesis, the real-world LTE-A HetNet is studied in detail. Both the aggregate data and UE (user equipment)’s data are investigated. The main goal is to study the actual environment, understand the mechanisms of the actual system, and model and optimize the users’ actual data traffic in the real-world environment in this thesis. The aggregate data (cell level data) for the HetNet at the University of Regina are analyzed and modeled in detail for all the cells in the actual HetNet. Four indicators are introduced to evaluate the performance of cell level data. In addition, a series of data collection activities are performed at the University of Regina to better understand the real-world LTE-A HetNet. These tests are intended to analyze and evaluate the baseline of the network and measure the dynamic response of the system when the network settings …
author: Gao, Haijun
language: en
date published: 2021-06
date modified: 2026-07-24T04:03:36Z
provider: University of Regina
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Faculty of Graduate Studies and Research, University of Regina

PropertyValue
property ID: Handle
value: https://hdl.handle.net/10294/14475

PropertyValue
property ID: DOI
value: 10.82465/4314