Paper Info
Title
Performance analysis of cognitive-based radio resource allocation in multi-channel LTE-A networks with M2M/H2H coexistence.
Abstract
Efficient radio access strategies are necessary and critical to manage an long-term-evolution (LTE) network system where machine-to-machine (M2M) devices and human-to-human (H2H) users coexist. In this study, the authors propose a cognitive-based access strategy with a priority-based queuing model that is designed for LTE with M2M/H2H coexistence, where the M2M communications have real-time (M2M-R...
Year
DOI
Venue
2017
10.1049/iet-com.2016.0469
IET Communications
Keywords
Field
DocType
cognitive radio,Long Term Evolution,Markov processes,queueing theory
Telecommunications network,Queuing delay,Markov chain,Queue,Computer network,Queueing theory,Terms of service,Cognition,Mathematics,LTE Advanced
Journal
Volume
Issue
ISSN
11
5
1751-8628
Citations 
PageRank 
References 
1
0.37
16
Authors
1
Name
Order
Citations
PageRank
Salman A. Al-qahtani12610.53