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Mobility information for resource management in wireless ATM networks
Affiliation:1. Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia;2. Department of Electronics and Communication Engineering, Faculty of Electrical and Electronics Engineering, Istanbul Technical University, 34469 Istanbul, Turkey;1. Electronics and Communication Engineering Department, Faculty of Electrical and Electronics Engineering, Istanbul Technical University (ITU) (34467), Istanbul, Turkey;2. Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, 71800 Bandar Baru Nilai, Negeri Sembilan, Malaysia;1. Engineering Technical College-Najaf, Al-Furat Al-Awsat Technical University (ATU), 31001 Najaf, Iraq;2. Electronics and Communication Engineering Department, Faculty of Electrical and Electronics Engineering, Istanbul Technical University (ITU), 34467 Istanbul, Turkey;3. Center for Artificial Intelligence and Robotics (CAIRO), Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia;4. Electrical and Computer Engineering Department, College of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia;5. Department of Electronics and Communication Engineering, College of Engineering, A’Sharqiyah University (ASU), Ibra 400, Oman
Abstract:User mobility poses a significant technical challenge to network resource management in wireless ATM (Asynchronous Transfer Mode) networks. In order to guarantee quality of service (QoS) to mobile users and to achieve a high efficiency in network resource management, the information of mobile users' handoff at a future moment is essential for statistical multiplexing. This paper develops a novel fuzzy logic inference system to estimate the user mobility information for a wireless ATM network which uses a direct sequence code division multiple access (DS/CDMA) protocol. The estimation is based on measured pilot signal strengths from a number of the nearest base stations by the mobile user. Numerical results are presented to demonstrate the performance of the proposed technique under various path losses and channel shadowing conditions. The proposed technique can achieve simplicity, accuracy and low cost.
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