4G Wireless Networks

2010 ◽  
pp. 347-377 ◽  
Author(s):  
Dimitrios G. Stratogiannis ◽  
Georgios I. Tsiropoulos ◽  
John D. Kanellopoulos ◽  
Panayotis G. Cottis
Keyword(s):  
Wireless Networks ◽  
Network Architecture ◽  
Management Tool ◽  
Fourth Generation ◽  
Ip Network ◽  
Efficient Resource ◽  
Management Techniques ◽  
Robust Network ◽  
4G Wireless

Fourth generation (4G) wireless networks aim at supporting various multiservice applications over IP architectures which satisfy enhanced users demands through innovative services of increased Quality of Service (QoS). QoS can be assured through independent optimal design of network components or by optimizing interoperability. The supported services impose also their classification into IP network service models and their specifications description. The integration of different wireless access technologies into the 4G network architecture leads to a heterogeneous network environment that raises several issues. An overview of various approaches employed to provide QoS in 4G networks concerning their architectures, different access technologies interoperability and resource management techniques are investigated in this chapter. Dynamic resource allocation, admission control, QoS provision using mobile management and pricing policies are presented. Concluding, in the demanding 4G environment under variable network conditions, appropriate schemes and architectures may provide a robust network management tool for QoS provision and efficient resource utilization.

4G Wireless Networks

2012 ◽  
pp. 1-32
Author(s):  
Dimitrios G. Stratogiannis ◽  
Georgios I. Tsiropoulos ◽  
John D. Kanellopoulos ◽  
Panayotis G. Cottis
Keyword(s):  
Wireless Networks ◽  
Network Architecture ◽  
Management Tool ◽  
Fourth Generation ◽  
Ip Network ◽  
Efficient Resource ◽  
Management Techniques ◽  
Robust Network ◽  
4G Wireless

Fourth generation (4G) wireless networks aim at supporting various multiservice applications over IP architectures which satisfy enhanced users demands through innovative services of increased Quality of Service (QoS). QoS can be assured through independent optimal design of network components or by optimizing interoperability. The supported services impose also their classification into IP network service models and their specifications description. The integration of different wireless access technologies into the 4G network architecture leads to a heterogeneous network environment that raises several issues. An overview of various approaches employed to provide QoS in 4G networks concerning their architectures, different access technologies interoperability and resource management techniques are investigated in this chapter. Dynamic resource allocation, admission control, QoS provision using mobile management and pricing policies are presented. Concluding, in the demanding 4G environment under variable network conditions, appropriate schemes and architectures may provide a robust network management tool for QoS provision and efficient resource utilization.

Efficient resource allocation for China's 3G/4G wireless networks

2005 ◽  
Vol 43 (1) ◽  
pp. 76-83 ◽  
Author(s):  
Yu Cheng ◽  
Hai Jiang ◽  
Weihua Zhuang ◽  
Zhisheng Niu ◽  
Chuang Lin
Keyword(s):  
Resource Allocation ◽  
Wireless Networks ◽  
Efficient Resource ◽  
4G Wireless

Handoff Management in Next Generation Wireless Networks

2010 ◽  
pp. 1790-1811
Author(s):  
Nidal Nasser ◽  
Tarek Bejaoui
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Heterogeneous Wireless Networks ◽  
User Preferences ◽  
Fourth Generation ◽  
Vertical Handoff ◽  
Next Generation ◽  
Wireless Technologies ◽  
Handoff Management ◽  
4G Wireless

Major research challenges in the next generation of wireless networks include the provisioning of worldwide seamless mobility across heterogeneous wireless networks, the improvement of end-to-end Quality of Service (QoS), supporting multmedia services over wide area and enabling users to specify their personal preferences. The integration and interoperability of this multitude of available networks will lead to the emergence of the fourth generation (4G) of wireless technologies. 4G wireless technologies have the potential to provide these features and many more, which at the end will change the way we use mobile devices and provide a wide variety of new applications. However, such technology does not come without its challenges. One of these challenges is the user’s ability to control and manage handoffs across heterogeneous wireless networks. This chapter proposes a solution to this problem using Artificial Neural Networks (ANNs). The proposed method is capable of distinguishing the best existing wireless network that matches predefined user preferences set on a mobile device when performing a vertical handoff. The overall performance of the proposed method shows 87.0 % success rate in finding the best available wireless network.

scholarly journals A new method for handoff target network selection

2019 ◽  
Vol 8 (1) ◽  
pp. 36
Author(s):  
Jyoti Madaan ◽  
Sunanda Gupta ◽  
Pratima Manihas
Keyword(s):  
Wireless Networks ◽  
User Satisfaction ◽  
Network Selection ◽  
Fourth Generation ◽  
Satisfaction Level ◽  
Decision Algorithm ◽  
Main Challenge ◽  
Always Best Connected ◽  
Target Network

In wireless communications of fourth generation the expectation to assimilate a hypothetically numerous heterogeneous wireless technologies are happened under consideration of a novel step toward worldwide smooth access. The advancement in wireless networks increases the challenges of mobility management as well the challenges of merging a various number of wireless networks. Out of those the main challenge for smooth movement is the accessibility of consistent vertical (intersystem) and horizontal (intra-system) handoff processes. So to improve the quality of service and to provide always best connected services all the time, the handoff decision algorithm must select an optimum target network from the available candidate networks. The purpose of this paper is to provide a mechanism for selecting an optimum target network from the available networks. This method is devised for maximizing the user satisfaction level, by selecting the “best” network as the handover target network among multiple candidate networks.

scholarly journals Analysis of the impact of network architecture on signal quality in LTE technology

2020 ◽  
Vol 17 (1) ◽  
pp. 95-109
Author(s):  
Ivana Stojanovic ◽  
Mladen Koprivica ◽  
Nenad Stojanovic ◽  
Aleksandar Neskovic
Keyword(s):  
Network Architecture ◽  
Reference Signal ◽  
Mobile Network ◽  
Quality Parameters ◽  
Fourth Generation ◽  
Signal Quality ◽  
The Public ◽  
Received Power ◽  
The Impact

In this paper, the impact of the network architecture on signal quality in the fourth generation of the public mobile network is analyzed. The analysis was performed using RSRP (Reference Signal Received Power), RSRQ (Reference Signal Received Quality), SINR (Signal to Interference plus Noise Ratio) and throughput parameters in indoor environment. The signal quality parameters were collected by measurement using TEMS Investigation and TEMS Pocket software. The measurements were carried out at the School of Electrical Engineering on the ground floor of the Technical Faculty building for the macro and micro cell scenario. It has been found that better signal quality is ensured in micro cells. Quality of the signal is also considered by the various services provided to the users.

scholarly journals Critical Aspects of 5G Technology- A Study on the Drivers, Technology Enhancement, Performance, and Spectrum Usage

2021 ◽  
pp. 22-33
Author(s):  
Akash R. Kathavate ◽  
Bhanu Priya ◽  
Rajeshwari Hegde ◽  
Sharath Kumar
Keyword(s):  
Network Architecture ◽  
Spectrum Management ◽  
User Preferences ◽  
Fourth Generation ◽  
Low Latency ◽  
High Data ◽  
Data Rates ◽  
Ip Network ◽  
High Data Rates ◽  
Increasing Demand

Pursuit for a new feasible technology has always been the main intention of every telecom company to satisfy the dire needs of the increasing demand for higher data rates and uninterrupted communication. The Fourth Generation (4G) network deployed presently works on an All-IP Network architecture providing features like low latency and high data rates. Owing to many user applications which make use of constant internet connection and high data rate, 5G was launched. Keeping in line with current trends, user preferences, and requirements, technology standards have evolved from 1G, 2G, 3G, 4G, and now 5G. Thus, 5G mobile technology makes use of Flat-IP Network architecture which fulfills the need for high data rates and ultra low latency thus providing overall latency. Thus, this paper intends to discuss the various performance parameters, necessities, evolutionary enhancements, the shift in the architecture and protocols involved from 4G to 5G to achieve a full real wireless world, and also about the spectrum management and challenges.

Handoff Management in Next Generation Wireless Networks

2010 ◽  
pp. 55-76
Author(s):  
Nidal Nasser ◽  
Tarek Bejaoui
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Heterogeneous Wireless Networks ◽  
User Preferences ◽  
Fourth Generation ◽  
Vertical Handoff ◽  
Next Generation ◽  
Wireless Technologies ◽  
Handoff Management ◽  
4G Wireless

Major research challenges in the next generation of wireless networks include the provisioning of worldwide seamless mobility across heterogeneous wireless networks, the improvement of end-to-end Quality of Service (QoS), supporting multmedia services over wide area and enabling users to specify their personal preferences. The integration and interoperability of this multitude of available networks will lead to the emergence of the fourth generation (4G) of wireless technologies. 4G wireless technologies have the potential to provide these features and many more, which at the end will change the way we use mobile devices and provide a wide variety of new applications. However, such technology does not come without its challenges. One of these challenges is the user’s ability to control and manage handoffs across heterogeneous wireless networks. This chapter proposes a solution to this problem using Artificial Neural Networks (ANNs). The proposed method is capable of distinguishing the best existing wireless network that matches predefined user preferences set on a mobile device when performing a vertical handoff. The overall performance of the proposed method shows 87.0 % success rate in finding the best available wireless network.

A Resource-Efficient Approach on User Association in 5G Networks Using Downlink and Uplink Decoupling

2020 ◽  
Vol 9 (2) ◽  
pp. 43-59
Author(s):  
Christos Bouras ◽  
Vasileios Kokkinos ◽  
Evangelos Michos
Keyword(s):  
Base Station ◽  
User Association ◽  
Fifth Generation ◽  
Telecommunication Systems ◽  
Data Rates ◽  
User Coverage ◽  
Efficient Resource ◽  
Management Techniques ◽  
Resource Aware

A user-centered network model can significantly optimize connectivity issues between a user and the corresponding base station (BS). This article shall evaluate the user-centric (UC) model targeted for Fifth Generation telecommunication systems and will attempt to optimize communication between users and BSs. The authors suggest a resource-aware mechanism that targets improving coverage through the network decoupling into two separate and independent uplink and downlink networks. The mechanism shall fully respect each user's initially requested throughput demands and aims to solve the network user BS association problem with efficient resource management techniques. Simulations revealed that the mechanism perfectly preserves quality of service (QoS) and offers increased data rates in favor of ultimate user coverage, in both scenarios. Additionally, Frequency Range 2 offers an increased amount of resources, both increased data rates and higher amounts of devices that are covered by the overall network.

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