Next Generation Wireless Technologies

The next generation of emerging wireless technology is dealing with spectrum shortage. For appropriate and practical implementation of latest wireless technologies, the sufficient amount of frequency is needed. Cognitive radio (CR) is introduced as a proficient nominee to manage spectral undersupply problem, as it rapidly increases the use of underutilize spectrum via spectrum sensing. This chapter introduces brief start about spectrum holes in addition to spectrum sensing framework. Further, the chapter explains the issues in spectrum sensing and how the cooperative sensing technique is fit to overcome these issues like shadow fading and receiver uncertainty. Consequently, the various non-cooperative sensing techniques are also discussed including their test statics. The advantages and disadvantages of different sensing techniques is exhibited at the end.

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Handoff Management in Next Generation Wireless Networks

Networking and Telecommunications ◽

10.4018/978-1-60566-986-1.ch115 ◽

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.

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Wireless Technologies for Mobile Computing and Commerce

Encyclopedia of Mobile Computing and Commerce ◽

10.4018/978-1-59904-002-8.ch174 ◽

2007 ◽

pp. 1038-1042

Author(s):

D. Wright

Keyword(s):

Wireless Networks ◽

Mobile Computing ◽

Next Generation ◽

Wireless Technologies ◽

Business Analysis

This article identifies the capabilities needed for mobile computing and commerce and assesses their technology and business implications. It identifies developments in the wireless networks that can be used for mobile computing and commerce, together with the services that can be provided over such networks. It provides a business analysis indicating which network operators can profitably deploy new networks, and which network operators need to establish business and technology links with each other so as to better serve their customers. The resulting range of next generation service, technologies and network operators available for mobile computing and commerce is identified.

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IEEE Access Special Section Editorial: 5G Wireless Technologies: Perspectives on the Next Generation of Mobile Communications and Networking

IEEE Access ◽

10.1109/access.2015.2388935 ◽

2014 ◽

Vol 2 ◽

pp. 1686-1688 ◽

Cited By ~ 1

Author(s):

Min Chen ◽

Victor C. M. Leung ◽

Roy Xiaorong Lai

Keyword(s):

Mobile Communications ◽

Special Section ◽

Next Generation ◽

Wireless Technologies

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