Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks

Soheil Rostami; Sajad Alabadi; Soheir Noori; Hayder Ahmed Shihab; Kamran Arshad; Predrag Rapajic

doi:10.1155/2016/3282505

Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks

Soheil Rostami
, Sajad Alabadi
, Soheir Noori
, Hayder Ahmed Shihab
, Kamran Arshad
, Predrag Rapajic

College of Engineering and Information Technology

University of Greenwich
University of Kerbala
University of Sussex

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English
Article number	3282505
Journal	Mobile Information Systems
Volume	2016
DOIs	https://doi.org/10.1155/2016/3282505
State	Published - 2016

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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.",

author = "Soheil Rostami and Sajad Alabadi and Soheir Noori and Shihab, \{Hayder Ahmed\} and Kamran Arshad and Predrag Rapajic",

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AU - Rostami, Soheil

AU - Alabadi, Sajad

AU - Noori, Soheir

AU - Shihab, Hayder Ahmed

AU - Arshad, Kamran

AU - Rapajic, Predrag

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

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DO - 10.1155/2016/3282505

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SN - 1574-017X

VL - 2016

JO - Mobile Information Systems

JF - Mobile Information Systems

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Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks

Abstract

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