FW-DAS: Fast Wireless Data Access Scheme in Mobile Networks

2014 ◽  
Vol 13 (8) ◽  
pp. 4260-4272 ◽  
Author(s):  
Giwon Lee ◽  
Insun Jang ◽  
Sangheon Pack ◽  
Xuemin Shen
2018 ◽  
Vol 6 (11) ◽  
pp. 457-463
Author(s):  
Buddesab . ◽  
Santhosh S Kashyap ◽  
Channabasappa Hugge

Author(s):  
Marzook Khatri

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.


Author(s):  
Omer Mahmood

Distance and inaccessibility create special challenges for health practitioners in rural and remote areas. Health professionals in rural and remote areas face problems such as prescription concerns due to lack of information. This occurs due to a gap in knowledge regarding medications, as health practitioners do not have access to medical history of their patients. Frequent migration of patients in rural and remote communities results in the loss of patients’ medical records. In addition, doctors have limited access to therapeutic information, as searching the Internet from most remote communities is expensive and slow. In addition, frequent migration of patients in remote communities results in the loss of patients’ histories. This chapter proposes a refined conceptual health information management model based on the model presented by Mahmood (2006). The discussed model is based on the use of Data Grid technology and Data Recharging techniques employed in conjunction with wireless communication technologies to overcome the problems and challenges faced by health practitioners. The model categorizes the health establishments in remote areas into two categories on the basis of geographical characteristics and data access requirements. The discussed model aims to meet information and communication technology (ICT) requirements of health practitioners operating in each recognized category.


2007 ◽  
pp. 318-338
Author(s):  
Howie Macumber ◽  
Bing Cheung

This chapter examines work conducted by Public Works and Government Services Canada, a department of the Government of Canada (GoC), to assess the potential for a Secure Wireless Data Access Service (SWDAS) that is envisaged to be provided as a common service to departments and agencies of the GoC. The main focus of the work has been on Wi-Fi, especially the IEEE 802.11b standard, and its application. Areas examined include technology, security, spectrum management, user surveys, applications, business, ?nance, service trial, future trends, and recommendations for the implementation of Wi-Fi in government. It is demonstrated that the application of Wi-Fi technology in the GoC would be bene?cial for the government workforce from both a ?nancial and a technological perspective.


2001 ◽  
Vol 39 (9) ◽  
pp. 156-162 ◽  
Author(s):  
A. Lozano ◽  
F.R. Farrokhi ◽  
R.A. Valenzuela

Author(s):  
Syazwa Mad Jais ◽  
Sarina Sulaiman ◽  
Siti Mariyam Shamsuddin

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