scholarly journals Network Amelioration, AI Automation and Future Integration in Wireless Networks

2021 ◽  
Vol 9 (8) ◽  
pp. 2607-2613
Author(s):  
Marzook Khatri
Keyword(s):  
Artificial Intelligence ◽  
Communication Networks ◽  
Mobile Networks ◽  
Network Virtualization ◽  
Mobile Network ◽  
Data Access ◽  
Detailed Comparison ◽  
Mobile Industry ◽  
Generation Network ◽  
Network Operations

Abstract: The deployment of 5G mobile communication networks is just getting started right now. There are numerous technologies available today, each capable of fulfilling activities such as enabling voice traffic via voice over IP (VoIP), providing broadband data access in mobile environments, and so on. However, there is a pressing need to implement technology that can bring all of these systems together into a single unified system. Because it is all about smoothly integrating terminals, networks, and applications, 8G presents a solution to this dilemma. In this work, an attempt is made to provide a study of various cellular technologies, such as 4G, 5G, 6G, 7G, and FG, as well as a detailed comparison between them. With the introduction of network virtualization and the implementation of 5G/IoT, mobile networks will become more complicated and offer more diverse services. This raises concerns about a considerable increase in the workload of network operations. Meanwhile, artificial intelligence (AI) is advancing rapidly and is projected to alleviate human resource shortages in a variety of industries. Similarly, the mobile industry is gaining traction in the application of artificial intelligence (AI) to network operations in order to improve the efficiency of mobile network operations. This paper will address the idea of using AI technology to network operations and will give various use examples to demonstrate that AI-driven network operations have a bright future. Keywords: 5G & 6G networks, Artificial Intelligence, Next generation network, Future Advancement.

Deployment and Success Factors for the Mobile Internet

2012 ◽  
pp. 1852-1867
Author(s):  
Krassie Petrova ◽  
Raymond Yiwen Huang
Keyword(s):  
Communication Networks ◽  
Mobile Networks ◽  
Success Factors ◽  
Data Communication ◽  
Mobile Internet ◽  
Mobile Service ◽  
Study Approach ◽  
Critical Success ◽  
Generation Network ◽  
Fixed Line

The mobile Internet is a fast-growing technology that provides access to the traditional stationary (fixed-line) Internet from devices connected to mobile communication networks. It is predicted that the convergence between mobile networks and the fixed-line Internet will be a core feature in the next generation network architecture, achieving fast ‘anywhere’ Internet access and global mobility management. Applying a case study approach, this paper reviews the New Zealand mobile Internet market mix, competition, and mobile service provision. The key mobile Internet deployment requirements are determined and analyzed in order to identify a set of mobile Internet critical success factors and to investigate the impact of the shift from fixed-line to mobile and wireless Internet data communication infrastructure.

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

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.

Analyzing the development of 4th generation mobile network in China: actor network theory perspective

Info ◽  
2015 ◽  
Vol 17 (1) ◽  
pp. 22-38 ◽  
Author(s):  
Yongwoon Shim ◽  
Dong-Hee Shin
Keyword(s):  
Mobile Networks ◽  
Network Theory ◽  
Mobile Network ◽  
Actor Network Theory ◽  
Fourth Generation ◽  
Actor Network ◽  
Content Type ◽  
Depth Analysis ◽  
Generation Network ◽  
Time Division

Purpose – This paper aims to provide an in-depth analysis of the process of standards setting based on the case of long-term evolution time division duplex (LTE TDD) deployment in China. Design/methodology/approach – Using actor-network theory (ANT) as a theoretical framework, multi-level analyses are presented to explain the process of adoption of LTE TDD at a global level. Findings – Findings identified the complex interaction between the social and technical aspects of fourth-generation (4G) by highlighting the co-evolving nature, diversity and interface that constitute the next-generation network environment. Research limitations/implications – ANT provides a framework of ideas for describing the process of technology adoption and for developing stories that explain it. Originality/value – The findings shed light on a critical insight of the interrelationships between TD-SCDMA and LTE TDD and identify the policy successes and failures of 4G mobile networks.

scholarly journals Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches

Computers ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 71
Author(s):  
Frank Phillipson ◽  
Robert S. Wezeman ◽  
Irina Chiscop
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Communication Networks ◽  
Mobile Networks ◽  
Quantum Computers ◽  
Limiting Factor ◽  
Learning Approaches ◽  
Specific Task ◽  
Learning Tasks ◽  
Quantum Machine Learning

Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods. However, computer power is increasingly becoming a limiting factor in machine learning tasks. The rise of quantum computers may be helpful here, especially where machine learning is one of the areas where quantum computers are expected to bring an advantage. This paper proposes and evaluates three approaches for using quantum machine learning for a specific task in mobile networks: indoor–outdoor detection. Where current quantum computers are still limited in scale, we show the potential the approaches have when larger systems become available.

Deployment and Success Factors for the Mobile Internet

2013 ◽  
pp. 1-16
Author(s):  
Krassie Petrova ◽  
Raymond Yiwen Huang
Keyword(s):  
Communication Networks ◽  
Mobile Networks ◽  
Success Factors ◽  
Data Communication ◽  
Mobile Internet ◽  
Mobile Service ◽  
Study Approach ◽  
Critical Success ◽  
Generation Network ◽  
Fixed Line

The mobile Internet is a fast-growing technology that provides access to the traditional stationary (fixed-line) Internet from devices connected to mobile communication networks. It is predicted that the convergence between mobile networks and the fixed-line Internet will be a core feature in the next generation network architecture, achieving fast ‘anywhere’ Internet access and global mobility management. Applying a case study approach, this paper reviews the New Zealand mobile Internet market mix, competition, and mobile service provision. The key mobile Internet deployment requirements are determined and analyzed in order to identify a set of mobile Internet critical success factors and to investigate the impact of the shift from fixed-line to mobile and wireless Internet data communication infrastructure.

scholarly journals Artificial intelligence techniques over the fifth generation mobile networks: a review

2021 ◽  
Vol 24 (1) ◽  
pp. 317
Author(s):  
Ashwaq N. Hassan ◽  
Sarab Al-Chlaihawi ◽  
Ahlam R. Khekan
Keyword(s):  
Artificial Intelligence ◽  
Mobile Networks ◽  
Human Error ◽  
Smart Cities ◽  
Mobile Network ◽  
Fourth Generation ◽  
Future Research ◽  
Artificial Intelligence Techniques ◽  
Fifth Generation ◽  
Sixth Generation

<span>A well Fifth generation (5G) mobile networks have been a common phrase in recent years. We have all heard this phrase and know its importance. By 2025, the number of devices based on the fifth generation of mobile networks will reach about 100 billion devices. By then, about 2.5 billion users are expected to consume more than a gigabyte of streamed data per month. 5G will play important roles in a variety of new areas, from smart homes and cars to smart cities, virtual reality and mobile augmented reality, and 4K video streaming. Bandwidth much higher than the fourth generation, more reliability and less latency are some of the features that distinguish this generation of mobile networks from previous generations.  Clearly, at first glance, these features may seem very impressive and useful to a mobile network, but these features will pose serious challenges for operators and communications companies. All of these features will lead to considerable complexity. Managing this network, preventing errors, and minimizing latency are some of the challenges that the 5th generation of mobile networks will bring. Therefore, the use of artificial intelligence and machine learning is a good way to solve these challenges. in other say, in such a situation, proper management of the 5G network must be done using powerful tools such as artificial intelligence. Various researches in this field are currently being carried out. Research that enables automated management and servicing and reduces human error as much as possible. In this paper, we will review the artificial intelligence techniques used in communications networks. Creating a robust and efficient communications network using artificial intelligence techniques is a great incentive for future research.</span><span> The importance of this issue is such that the sixth generation (6G) of cellular communications; There is a lot of emphasis on the use of artificial intelligence.</span>

scholarly journals On the evolution of infrastructure sharing in mobile networks: A survey

2020 ◽  
Vol 1 (1) ◽  
pp. 141-157
Author(s):  
Brunilde Sanso ◽  
Lorela Cano ◽  
Antonio Capone
Keyword(s):  
Mobile Networks ◽  
Spectrum Sharing ◽  
Network Virtualization ◽  
Mobile Network ◽  
Research Topic ◽  
5G Networks ◽  
Wireless Network Virtualization ◽  
Key Driver ◽  
Mobile Network Operators ◽  
Over Time

Infrastructure sharing for mobile networks has been a prolific research topic for more than three decades now. The key driver for Mobile Network Operators to share their network infrastructure is cost reduction. Spectrum sharing is often studied alongside infrastructure sharing although on its own it is a vast research topic outside the scope of this survey. Instead, in this survey we aim to provide a complete picture of infrastructure sharing both over time and in terms of research branches that have stemmed from it such as performance evaluation, resource management etc. We also put an emphasis on the relation between infrastructure sharing and the decoupling of infrastructure from services, wireless network virtualization and multi-tenancy in 5G networks. Such a relation reflects the evolution of infrastructure sharing over time and how it has become a commercial reality in the context of 5G.

An overview of the 5G mobile network architecture

2018 ◽  
Author(s):  
Phanidra Palagummi ◽  
Vedant Somani ◽  
Krishna M. Sivalingam ◽  
Balaji Venkat
Keyword(s):  
Wireless Network ◽  
Mobile Networks ◽  
Network Architecture ◽  
Mobile Network ◽  
Communication Technologies ◽  
Future Generation ◽  
Network Function Virtualization ◽  
Low Latency ◽  
High Bandwidth ◽  
Network Technologies

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.

scholarly journals DCSS Protocol for Data Caching and Sharing Security in a 5G Network

Network ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 75-94
Author(s):  
Ed Kamya Kiyemba Edris ◽  
Mahdi Aiash ◽  
Jonathan Loo
Keyword(s):  
Mobile Networks ◽  
Service Providers ◽  
Security Analysis ◽  
Mobile Network ◽  
End Users ◽  
Third Party ◽  
Control Mechanisms ◽  
Security Measures ◽  
Data Caching ◽  
Pi Calculus

Fifth Generation mobile networks (5G) promise to make network services provided by various Service Providers (SP) such as Mobile Network Operators (MNOs) and third-party SPs accessible from anywhere by the end-users through their User Equipment (UE). These services will be pushed closer to the edge for quick, seamless, and secure access. After being granted access to a service, the end-user will be able to cache and share data with other users. However, security measures should be in place for SP not only to secure the provisioning and access of those services but also, should be able to restrict what the end-users can do with the accessed data in or out of coverage. This can be facilitated by federated service authorization and access control mechanisms that restrict the caching and sharing of data accessed by the UE in different security domains. In this paper, we propose a Data Caching and Sharing Security (DCSS) protocol that leverages federated authorization to provide secure caching and sharing of data from multiple SPs in multiple security domains. We formally verify the proposed DCSS protocol using ProVerif and applied pi-calculus. Furthermore, a comprehensive security analysis of the security properties of the proposed DCSS protocol is conducted.

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