Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks

Joint Authors

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

Source

Mobile Information Systems

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-09-19

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Telecommunications Engineering

Abstract EN

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.

American Psychological Association (APA)

Rostami, Soheil& Alabadi, Sajad& Noori, Soheir& Shihab, Hayder Ahmed& Arshad, Kamran& Rapajic, Predrag. 2016. Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111423

Modern Language Association (MLA)

Rostami, Soheil…[et al.]. Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks. Mobile Information Systems No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1111423

American Medical Association (AMA)

Rostami, Soheil& Alabadi, Sajad& Noori, Soheir& Shihab, Hayder Ahmed& Arshad, Kamran& Rapajic, Predrag. Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111423

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1111423