2016
DOI: 10.1109/access.2016.2533394
|View full text |Cite
|
Sign up to set email alerts
|

Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
53
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
6
3

Relationship

1
8

Authors

Journals

citations
Cited by 89 publications
(53 citation statements)
references
References 34 publications
0
53
0
Order By: Relevance
“…The study outcome was assessed using interference and transmitted bits mainly. Study towards 5G network was also studied by Hasan et al [14] with respect to channel allocation viewpoint. The technique discussed in the paper presents a unique optimization theory for addressing the interference problems using swarm intelligence concept.…”
Section: Related Workmentioning
confidence: 99%
“…The study outcome was assessed using interference and transmitted bits mainly. Study towards 5G network was also studied by Hasan et al [14] with respect to channel allocation viewpoint. The technique discussed in the paper presents a unique optimization theory for addressing the interference problems using swarm intelligence concept.…”
Section: Related Workmentioning
confidence: 99%
“…With respect to spectrum management, several concepts have been developed and deployed over the years [10,11]. Accordingly, the benefits of spectrum sharing are twofold.…”
Section: Background On Spectrum Scarcity and Sharingmentioning
confidence: 99%
“…A differential evolution based channel assignment algorithm is designed for CRNs in [14]. In [15], GA and PSO are investigated to optimize price and interference in CRHN. The authors in [15] suggested that the GA can find optimal solution in comparison with PSO algorithm under the constraints on interference, data rate, and price.…”
Section: Introductionmentioning
confidence: 99%
“…In [15], GA and PSO are investigated to optimize price and interference in CRHN. The authors in [15] suggested that the GA can find optimal solution in comparison with PSO algorithm under the constraints on interference, data rate, and price. However, SUs accumulative data rates optimization and impact of varying densities of SUs on QoS are not well explored.…”
Section: Introductionmentioning
confidence: 99%