2017
DOI: 10.1002/dac.3315
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Analysis and performance evaluation of an efficient handover algorithm for cognitive HetNets

Abstract: Cognitive heterogeneous network is a promising technology to meet the requirements of future wireless networks in cost and energy efficiency. By using vertical handover (VHO) between different network tiers, such as macro and femto, the traffic congestion can be potentially alleviated, and the spectral efficiency is significantly increased. However, performing VHO for a cognitive handover user (CHU) and simultaneously guaranteeing the quality of service of the primary user (PU) is the most challenging issue… Show more

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Cited by 5 publications
(2 citation statements)
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“…In [37], Moon factor (α). Numerical results demonstrate that RSS−α enhances the system performance in terms of the probability of assigning mobile stations to femtocells with the same number of HOs [38]. Habibzadeh et al proposed a decision-making handover algorithm for HetNets in [39].…”
Section: Related Workmentioning
confidence: 99%
“…In [37], Moon factor (α). Numerical results demonstrate that RSS−α enhances the system performance in terms of the probability of assigning mobile stations to femtocells with the same number of HOs [38]. Habibzadeh et al proposed a decision-making handover algorithm for HetNets in [39].…”
Section: Related Workmentioning
confidence: 99%
“…• Offloading and handover due to traffic load or propagation conditions [32,33] in the form of VHO, horizontal handover (HHO), and SHO…”
Section: Cr-based Hetnetsmentioning
confidence: 99%