Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks
Abstract In this paper, the Erlang capacity achieved by the separate or joint use of several resource management mechanisms commonly considered in the literature (spectrum aggregation, spectrum adaptation, call buffering, channel reservation, selective interruption, and preemptive prioritization) to...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2017-12-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-017-1003-3 |
| _version_ | 1818911031284465664 |
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| author | S. Lirio Castellanos-Lopez Felipe A. Cruz-Pérez Genaro Hernandez-Valdez Mario E. Rivero-Angeles |
| author_facet | S. Lirio Castellanos-Lopez Felipe A. Cruz-Pérez Genaro Hernandez-Valdez Mario E. Rivero-Angeles |
| author_sort | S. Lirio Castellanos-Lopez |
| collection | DOAJ |
| description | Abstract In this paper, the Erlang capacity achieved by the separate or joint use of several resource management mechanisms commonly considered in the literature (spectrum aggregation, spectrum adaptation, call buffering, channel reservation, selective interruption, and preemptive prioritization) to mitigate the effects of secondary call interruptions in cognitive radio networks (CRNs) is evaluated and compared. Heterogeneous traffic is considered, and service differentiation between real-time and elastic (data) traffic is done in terms of their different delay tolerance characteristics. The aim of our investigation is to identify the most relevant resource management mechanisms to improve the performance of the considered networks. As such, both the individual and joint effect of each resource management mechanisms on system performance are evaluated with the objective of comparing the gains in capacity achieved by each resource management mechanism studied in this work. For this purpose, the different resource management mechanisms studied are carefully combined and, for each resulting strategy, optimization of its configuration is presented to maximize the achievable Erlang capacity. For the performance evaluation of the considered strategies in heterogeneous traffic CRNs, a general teletraffic analysis is developed. Numerical results show that spectrum adaptation and call buffering are the mechanisms that best exploit the elasticity of delay-tolerant traffic in heterogeneous traffic CRNs and, therefore, most significantly improve system performance. |
| first_indexed | 2024-12-19T22:52:14Z |
| format | Article |
| id | doaj.art-8af76db2f5dd41058a5558c6f9fb232b |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-19T22:52:14Z |
| publishDate | 2017-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-8af76db2f5dd41058a5558c6f9fb232b2022-12-21T20:02:46ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992017-12-012017111810.1186/s13638-017-1003-3Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networksS. Lirio Castellanos-Lopez0Felipe A. Cruz-Pérez1Genaro Hernandez-Valdez2Mario E. Rivero-Angeles3Electronics Department, UAM-AElectrical Engineering Department, CINVESTAV-IPNElectronics Department, UAM-ACommunication Networks Laboratory, CIC-Instituto Politécnico NacionalAbstract In this paper, the Erlang capacity achieved by the separate or joint use of several resource management mechanisms commonly considered in the literature (spectrum aggregation, spectrum adaptation, call buffering, channel reservation, selective interruption, and preemptive prioritization) to mitigate the effects of secondary call interruptions in cognitive radio networks (CRNs) is evaluated and compared. Heterogeneous traffic is considered, and service differentiation between real-time and elastic (data) traffic is done in terms of their different delay tolerance characteristics. The aim of our investigation is to identify the most relevant resource management mechanisms to improve the performance of the considered networks. As such, both the individual and joint effect of each resource management mechanisms on system performance are evaluated with the objective of comparing the gains in capacity achieved by each resource management mechanism studied in this work. For this purpose, the different resource management mechanisms studied are carefully combined and, for each resulting strategy, optimization of its configuration is presented to maximize the achievable Erlang capacity. For the performance evaluation of the considered strategies in heterogeneous traffic CRNs, a general teletraffic analysis is developed. Numerical results show that spectrum adaptation and call buffering are the mechanisms that best exploit the elasticity of delay-tolerant traffic in heterogeneous traffic CRNs and, therefore, most significantly improve system performance.http://link.springer.com/article/10.1186/s13638-017-1003-3Cognitive radio networksResource managementPerformance analysisSpectrum aggregationSpectrum adaptationPreemptive priority |
| spellingShingle | S. Lirio Castellanos-Lopez Felipe A. Cruz-Pérez Genaro Hernandez-Valdez Mario E. Rivero-Angeles Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks EURASIP Journal on Wireless Communications and Networking Cognitive radio networks Resource management Performance analysis Spectrum aggregation Spectrum adaptation Preemptive priority |
| title | Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks |
| title_full | Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks |
| title_fullStr | Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks |
| title_full_unstemmed | Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks |
| title_short | Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks |
| title_sort | analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks |
| topic | Cognitive radio networks Resource management Performance analysis Spectrum aggregation Spectrum adaptation Preemptive priority |
| url | http://link.springer.com/article/10.1186/s13638-017-1003-3 |
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