DocumentCode :
3735420
Title :
Flexible 5G M2M network access with cognitive RAN: Survey and design principles
Author :
Guan-Yu Lin;Hung-Yu Wei
Author_Institution :
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
fYear :
2015
Firstpage :
36
Lastpage :
41
Abstract :
In this paper, we propose the concept of cognitive radio access network (Cognitive RAN) as the guideline for 5G M2M network design. A Cognitive RAN proactively investigates RAN status and terminal requirement, and then adaptively configures radio resources to enhance system performance. As an example of Cognitive RAN, we propose a random access load estimation method to perform RAN overload resolution. Simulation results show that the method has potential to support millions of access requests with satisfactory performance in throughput and success probability. Finally, we indicate some extended applications of the load estimation method.
Keywords :
"Base stations","Estimation","Performance evaluation","Radio access networks","Load flow control","Standards","Relays"
Publisher :
ieee
Conference_Titel :
Standards for Communications and Networking (CSCN), 2015 IEEE Conference on
Print_ISBN :
978-1-4799-8927-0
Type :
conf
DOI :
10.1109/CSCN.2015.7390417
Filename :
7390417
Link To Document :
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