Title
Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks.
Abstract
A novel aggregation-based spectrum assignment algorithm for Cognitive Machine-To-Machine (CM2M) networks is proposed. The introduced algorithm takes practical constraints including interference to the Licensed Users (LUs), co-channel interference (CCI) among CM2M devices, and Maximum Aggregation Span (MAS) into consideration. Simulation results show clearly that the proposed algorithm outperforms State-Of-The-Art (SOTA) algorithms in terms of spectrum utilisation and network capacity. Furthermore, the convergence analysis of the proposed algorithm verifies its high convergence rate.
Year
DOI
Venue
2016
10.1155/2016/3282505
MOBILE INFORMATION SYSTEMS
Field
DocType
Volume
Convergence (routing),Machine to machine,Computer science,Algorithm,Rate of convergence,Interference (wave propagation),Cognition
Journal
2016
ISSN
Citations 
PageRank 
1574-017X
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Soheil Rostami1346.01
Sajad Alabadi200.34
Soheir Noori300.34
Hayder Ahmed Shihab400.34
Kamran Arshad532826.17
Predrag B. Rapajic614521.89