Common Radio Resource Management Algorithms in Heterogeneous Wireless Networks with KPI Analysis

Dr. Saed TARAPIAH's picture
Journal Title, Volume, Page: 
International Journal of Advanced Computer Science and Applications 6(10):53-58 · November 2015
Year of Publication: 
2015
Authors: 
Saed Tarapiah
Department of Telecommunication Engineering, Faculty of Engineering and Information Technology, An-Najah National University, Nablus. Palestine
Current Affiliation: 
Department of Telecommunication Engineering, Faculty of Engineering and Information Technology, An-Najah National University, Nablus. Palestine
Kahtan Aziz
College of Engineering Computing. Al Ghurair University Dubai, United Arab Emirates
Shadi Atalla
Lavoro Autonomo (LA) Torino, Italy Italy
Preferred Abstract (Original): 
The rapid increase of number of personal wireless communication equipped devices boosts the user service demands on wireless networks. Thus, the spectrum resource management in such networks becomes an important topic in the near future. Notwithstanding, typically, users equipped with multiple wireless interfaces, thus the access operational scenario is no longer based on single Radio Access Technology (RAT). In this work, we studied the heterogeneous wireless communication scenarios, as a joint cooperative management of different RATs through which network providers can satisfy as possible as wide variety of user services demands in a more efficient manner by exploiting their varying characteristics and properties. To achieve this objective, a Common Radio Resource Management (CRRM) algorithms and techniques are proposed and designed to efficiently manage and optimize the radio resources in a heterogeneous wireless networks. In this context, this work studies and analyzes some common radio resource management techniques to efficiently distribute traffic among the available radio access technologies while provid- ing adequate quality of service levels under heterogeneous traffic scenarios. The most interesting algorithms have been critically analyzed and then some in depth investigations with attention on implementations and techno-economic issues are performed on some of the identified CRRM algorithms.
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