Mobile Network Forensics

Networking connectivity is increasingly based on wireless network technologies, especially in developing nations where the wired network infrastructure is not accessible to a large segment of the population. Wireless data network technologies based on 2G and 3G are quite common globally; 4G-based deployments are on the rise during the past few years. At the same time, the increasing high-bandwidth and low-latency requirements of mobile applications has propelled the Third Generation Partnership Project (3GPP) standards organization to develop standards for the next generation of mobile networks, based on recent advances in wireless communication technologies. This standard is called the Fifth Generation (5G) wireless network standard. This paper presents a high-level overview of the important architectural components, of the advanced communication technologies, of the advanced networking technologies such as Network Function Virtualization and other important aspects that are part of the 5G network standards. The paper also describes some of the common future generation applications that require low-latency and high-bandwidth communications.

Download Full-text

Evolution of QoS Control in Next Generation Mobile Networks

Advances in Wireless Technologies and Telecommunication - Quality of Service Architectures for Wireless Networks ◽

10.4018/978-1-61520-680-3.ch026 ◽

2010 ◽

pp. 595-612

Author(s):

Alberto Díez Albaladejo ◽

Fabricio Gouveia ◽

Marius Corici ◽

Thomas Magedanz

Keyword(s):

Wireless Networks ◽

Mobile Networks ◽

Mobile Network ◽

Next Generation ◽

Qos Control ◽

Main Research ◽

Next Generation Mobile Networks ◽

Major Trend ◽

Promising Solution ◽

Common Architecture

Next Generation Mobile Networks (NGMNs) constitute the evolution of mobile network architectures towards a common IP based network. One of the main research topics in wireless networks architectures is QoS control and provisioning. Different approaches to this issue have been described. The introduction of the NGMNs is a major trend in telecommunications, but the heterogeneity of wireless accesses increases the challenges and complicates the design of QoS control and provisioning. This chapter provides an overview of the standard architectures for QoS control in Wireless networks (e.g. UMTS, WiFi, WiMAX, CDMA2000), as well as, the issues on this all-IP environment. It provides the state-of-the-art and the latest trends for converging networks to a common architecture. It also describes the challenges that appear in the design and deployment of QoS architectures for heterogeneous accesses and the available solutions. The Evolved Core from 3GPP is analyzed and described as a suitable and promising solution addressing these challenges.

Download Full-text

Artificial Intelligence and Machine Learning in 5G and beyond: A Survey and Perspectives

10.5772/intechopen.98517 ◽

2021 ◽

Author(s):

Abdelfatteh Haidine ◽

Fatima Zahra Salmam ◽

Abdelhak Aqqal ◽

Aziz Dahbi

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Mobile Networks ◽

Network Architecture ◽

Mobile Network ◽

Cost Effective ◽

Mobile Internet ◽

Network Function ◽

New Radio ◽

4G Lte

The deployment of 4G/LTE (Long Term Evolution) mobile network has solved the major challenge of high capacities, to build real broadband mobile Internet. This was possible mainly through very strong physical layer and flexible network architecture. However, the bandwidth hungry services have been developed in unprecedented way, such as virtual reality (VR), augmented reality (AR), etc. Furthermore, mobile networks are facing other new services with extremely demand of higher reliability and almost zero-latency performance, like vehicle communications or Internet-of-Vehicles (IoV). Using new radio interface based on massive MIMO, 5G has overcame some of these challenges. In addition, the adoption of software defend networks (SDN) and network function virtualization (NFV) has added a higher degree of flexibility allowing the operators to support very demanding services from different vertical markets. However, network operators are forced to consider a higher level of intelligence in their networks, in order to deeply and accurately learn the operating environment and users behaviors and needs. It is also important to forecast their evolution to build a pro-actively and efficiently (self-) updatable network. In this chapter, we describe the role of artificial intelligence and machine learning in 5G and beyond, to build cost-effective and adaptable performing next generation mobile network. Some practical use cases of AI/ML in network life cycle are discussed.

Download Full-text

Network Selection Strategies and Resource Management Schemes in Integrated Heterogeneous Wireless and Mobile Networks

Information Resources Management ◽

10.4018/978-1-61520-965-1.ch408 ◽

2010 ◽

pp. 1066-1083

Author(s):

Wei Shen ◽

Qing-An Zeng

Keyword(s):

Resource Management ◽

Mobile Networks ◽

Network Architecture ◽

Mobile Network ◽

Network Selection ◽

Selection Strategies ◽

Different Types ◽

Management Schemes ◽

Strong Candidate ◽

Multiple Network

Integrated heterogeneous wireless and mobile network (IHWMN) is introduced by combing different types of wireless and mobile networks (WMNs) in order to provide more comprehensive service such as high bandwidth with wide coverage. In an IHWMN, a mobile terminal equipped with multiple network interfaces can connect to any available network, even multiple networks at the same time. The terminal also can change its connection from one network to other networks while still keeping its communication alive. Although IHWMN is very promising and a strong candidate for future WMNs, it brings a lot of issues because different types of networks or systems need to be integrated to provide seamless service to mobile users. In this chapter, the authors focus on some major issues in IHWMN. Several noel network selection strategies and resource management schemes are also introduced for IHWMN to provide better resource allocation for this new network architecture.

Download Full-text

Network Selection Strategies and Resource Management Schemes in Integrated Heterogeneous Wireless and Mobile Networks

Handbook of Research on Scalable Computing Technologies ◽

10.4018/978-1-60566-661-7.ch031 ◽

2010 ◽

pp. 718-737

Author(s):

Wei Shen ◽

Qing-An Zeng

Keyword(s):

Resource Management ◽

Mobile Networks ◽

Network Architecture ◽

Mobile Network ◽

Network Selection ◽

Selection Strategies ◽

Different Types ◽

Management Schemes ◽

Strong Candidate ◽

Multiple Network

Integrated heterogeneous wireless and mobile network (IHWMN) is introduced by combing different types of wireless and mobile networks (WMNs) in order to provide more comprehensive service such as high bandwidth with wide coverage. In an IHWMN, a mobile terminal equipped with multiple network interfaces can connect to any available network, even multiple networks at the same time. The terminal also can change its connection from one network to other networks while still keeping its communication alive. Although IHWMN is very promising and a strong candidate for future WMNs, it brings a lot of issues because different types of networks or systems need to be integrated to provide seamless service to mobile users. In this chapter, the authors focus on some major issues in IHWMN. Several noel network selection strategies and resource management schemes are also introduced for IHWMN to provide better resource allocation for this new network architecture.

Download Full-text

Handover Parameters Optimisation Techniques in 5G Networks

Sensors ◽

10.3390/s21155202 ◽

2021 ◽

Vol 21 (15) ◽

pp. 5202

Author(s):

Wasan Kadhim Saad ◽

Ibraheem Shayea ◽

Bashar J. Hamza ◽

Hafizal Mohamad ◽

Yousef Ibrahim Daradkeh ◽

...

Keyword(s):

Mobile Networks ◽

Mobile Network ◽

Small Cells ◽

Fourth Generation ◽

Acceptable Solution ◽

Massive Growth ◽

Fifth Generation ◽

5G Network ◽

Simulation Results ◽

The Impact

The massive growth of mobile users will spread to significant numbers of small cells for the Fifth Generation (5G) mobile network, which will overlap the fourth generation (4G) network. A tremendous increase in handover (HO) scenarios and HO rates will occur. Ensuring stable and reliable connection through the mobility of user equipment (UE) will become a major problem in future mobile networks. This problem will be magnified with the use of suboptimal handover control parameter (HCP) settings, which can be configured manually or automatically. Therefore, the aim of this study is to investigate the impact of different HCP settings on the performance of 5G network. Several system scenarios are proposed and investigated based on different HCP settings and mobile speed scenarios. The different mobile speeds are expected to demonstrate the influence of many proposed system scenarios on 5G network execution. We conducted simulations utilizing MATLAB software and its related tools. Evaluation comparisons were performed in terms of handover probability (HOP), ping-pong handover probability (PPHP) and outage probability (OP). The 5G network framework has been employed to evaluate the proposed system scenarios used. The simulation results reveal that there is a trade-off in the results obtained from various systems. The use of lower HCP settings provides noticeable enhancements compared to higher HCP settings in terms of OP. Simultaneously, the use of lower HCP settings provides noticeable drawbacks compared to higher HCP settings in terms of high PPHP for all scenarios of mobile speed. The simulation results show that medium HCP settings may be the acceptable solution if one of these systems is applied. This study emphasises the application of automatic self-optimisation (ASO) functions as the best solution that considers user experience.

Download Full-text

Introduction of 5G as a Next-generation Mobile Network

ABC Research Alert ◽

10.18034/abcra.v8i3.496 ◽

2020 ◽

Vol 8 (3) ◽

pp. 129-138

Author(s):

Ruhul Amin

Keyword(s):

Mobile Networks ◽

Network Connectivity ◽

Mobile Network ◽

Base Stations ◽

Next Generation ◽

Safety Nets ◽

Great Expectations ◽

Harmful Effects ◽

Frequency Radiation ◽

Game Changer

5G aren't just about significantly improving network connectivity. It's a next-generation mobile network that promises to be a game changer in the way we live. The true breakthrough of 5G is the capacity of up to 1,000 5G connected devices per person. It covers all 7 billion people worldwide. One of the great expectations for the future is that not only will all humans be connected to the Internet, but most items of our lives will also be connected. With 5G, coverage will be improved, capacity will be increased, latency will be reduced, and data speed will significantly improve. Future 5G solutions will outperform current 4G mobile networks in several ways. Significant improvements in device density, transfer speeds and latencies, and a 90% reduction in power consumption are just a few of the 5G goals. On the other hand, the harmful effects of frequency radiation have already been proven. Even before 5G was proposed, dozens of petitions and appeals by international scientists, including the Flyberger appeal signed by more than 3,000 doctors, stopped the expansion of wireless technology and made new base stations. Requested a moratorium. Negative microbiological effects have also been recorded. Government regulators will consider deploying 5G, especially with the additional infrastructure needed to expand their networks. 5G deployments need to address both standard and advanced cybersecurity threats. It is the responsibility of the carrier and network consortium to provide customers with digital safety nets, except that customer complacency can be an issue as well.

Download Full-text

Data Traffic Based on Slicing in a 5G Smart Uplink System

Telecom IT ◽

10.31854/2307-1303-2020-8-2-44-54 ◽

2020 ◽

Vol 8 (2) ◽

pp. 44-54

Author(s):

A. Grebenshchikova ◽

Elagin V.

Keyword(s):

Mobile Networks ◽

Data Transfer ◽

Relay Node ◽

Mobile Network ◽

Video Stream ◽

Base Station ◽

Smart Devices ◽

Future Research ◽

Data Traffic ◽

Fifth Generation

The paper considers the data traffic based on slicing in a 5g mobile network uplink system. Slicing is a promising technology for the fifth generation of networks that provides optimal quality of QOS services for each specific user or group of users. Data traffic that is processed by cellular networks increases every year. Therefore, we should consider all set of traffic from VoIP to M2M devices. For example, smart devices in the healthcare system transmit big data that is sensitive to latency, but also a video stream that requires minimal latency in certain cases. The paper focuses on the successful processing of traffic through a relay node, donor microstates, and a base station. All traffic is divided into three levels of QoS segmentation: sensitive, less sensitive, and low-sensitivity, using the AnyLogic simulation program. For fifth-generation 5G networks, achieving minimum latency and maximum data transfer speed within QoS is an important implementation condition. Therefore, in this paper, using simulation modeling, the main and possible results of each segment in the new generation of mobile networks are obtained. The use of a relay node in conjunction with micro-stations can ensure optimal station load and successful data processing. Also, the solutions outlined in this paper will allow you to identify a number of areas for future research to assess possible ways to design new mobile networks, or improve existing ones.

Download Full-text

Mobile Network Architecture

Mobile Network Forensics - Advances in Digital Crime, Forensics, and Cyber Terrorism ◽

10.4018/978-1-5225-5855-2.ch004 ◽

2018 ◽

pp. 79-129

Keyword(s):

Real World ◽

System Architecture ◽

Network Architecture ◽

Mobile Network ◽

Network Forensics ◽

The Real ◽

Critical Elements ◽

Potential Sources ◽

Definition Of

Critical for identification of the potential sources of evidence in every network forensics investigation is the definition of the system architecture. The mobile network architecture has two main definitions, one concerning the network deployments before the 3GPP consolidated the mobile standardization, and one for the 3GPP networks onwards. Forensic investigators need to know both of them; the real-world network deployments include elements from different generations, so the uncovering of mobile network evidence requires knowledge of how every generation operates in practice. This chapter provides a detailed overview of the pre-3GPP network architecture, defining the critical elements for recognizing, acquiring, analyzing, and interpreting potential mobile network evidence.

Download Full-text