Performance analysis of dynamic spectrum leasing strategies in coordinated cognitive radio networks
Abstract In this paper, dynamic and anticipated resource leasing strategies to address the problem of leased resource availability are investigated. Then, network performance analysis is developed, and the performance evaluations of different leasing strategies (namely permanent, dynamic, and antici...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-10-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-018-1266-3 |
| _version_ | 1818596598443147264 |
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| author | Mario A. Ramírez-Reyna Felipe A. Cruz-Pérez S. Lirio Castellanos-López Genaro Hernandez-Valdez Mario E. Rivero-Angeles |
| author_facet | Mario A. Ramírez-Reyna Felipe A. Cruz-Pérez S. Lirio Castellanos-López Genaro Hernandez-Valdez Mario E. Rivero-Angeles |
| author_sort | Mario A. Ramírez-Reyna |
| collection | DOAJ |
| description | Abstract In this paper, dynamic and anticipated resource leasing strategies to address the problem of leased resource availability are investigated. Then, network performance analysis is developed, and the performance evaluations of different leasing strategies (namely permanent, dynamic, and anticipated leasing strategies) are provided for some network scenarios. The developed mathematical model additionally considers non-homogeneous bandwidth requirement, where different primary users (PUs) and secondary users (SUs) may require a number of channels. The tradeoff between spectrum leasing cost and system Erlang capacity (defined as the maximum offered traffic for which all the QoS requirements are guaranteed) is also investigated. Specifically, the maximum Erlang capacity is obtained by optimizing the number of reserved channels for different traffic scenarios considering a maximum allowed number of simultaneously rented channels. Also, the minimum achievable cost per Erlang is obtained by considering a fractional number of leased channels. Additionally, the cost per Erlang of capacity as function of both the utilization factor of the primary resources and the maximum allowed number of simultaneously rented channels is evaluated. Numerical results demonstrate that system performance strongly depends on the value of the mean secondary service time relative to the mean primary service time. Also, numerical results show that the cost of leasing a spectrum band is drastically reduced (compared to the permanent leasing strategy) when dynamic spectrum leasing strategies are employed. |
| first_indexed | 2024-12-16T11:34:27Z |
| format | Article |
| id | doaj.art-1d6a36e313754e59a0c7793a0e1d8dca |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-16T11:34:27Z |
| publishDate | 2018-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-1d6a36e313754e59a0c7793a0e1d8dca2022-12-21T22:33:09ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-10-012018112210.1186/s13638-018-1266-3Performance analysis of dynamic spectrum leasing strategies in coordinated cognitive radio networksMario A. Ramírez-Reyna0Felipe A. Cruz-Pérez1S. Lirio Castellanos-López2Genaro Hernandez-Valdez3Mario E. Rivero-Angeles4Electrical Engineering Department CINVESTAV-IPNElectrical Engineering Department CINVESTAV-IPNElectronics Department UAM-AElectronics Department UAM-ACommunication Netwroks Lab. CIC-Instituto Politéccnico NacionalAbstract In this paper, dynamic and anticipated resource leasing strategies to address the problem of leased resource availability are investigated. Then, network performance analysis is developed, and the performance evaluations of different leasing strategies (namely permanent, dynamic, and anticipated leasing strategies) are provided for some network scenarios. The developed mathematical model additionally considers non-homogeneous bandwidth requirement, where different primary users (PUs) and secondary users (SUs) may require a number of channels. The tradeoff between spectrum leasing cost and system Erlang capacity (defined as the maximum offered traffic for which all the QoS requirements are guaranteed) is also investigated. Specifically, the maximum Erlang capacity is obtained by optimizing the number of reserved channels for different traffic scenarios considering a maximum allowed number of simultaneously rented channels. Also, the minimum achievable cost per Erlang is obtained by considering a fractional number of leased channels. Additionally, the cost per Erlang of capacity as function of both the utilization factor of the primary resources and the maximum allowed number of simultaneously rented channels is evaluated. Numerical results demonstrate that system performance strongly depends on the value of the mean secondary service time relative to the mean primary service time. Also, numerical results show that the cost of leasing a spectrum band is drastically reduced (compared to the permanent leasing strategy) when dynamic spectrum leasing strategies are employed.http://link.springer.com/article/10.1186/s13638-018-1266-3Coordinated cognitive radio networksDynamic spectrum leasingErlang capacityCall admission controlNew call blocking and call forced termination probabilities |
| spellingShingle | Mario A. Ramírez-Reyna Felipe A. Cruz-Pérez S. Lirio Castellanos-López Genaro Hernandez-Valdez Mario E. Rivero-Angeles Performance analysis of dynamic spectrum leasing strategies in coordinated cognitive radio networks EURASIP Journal on Wireless Communications and Networking Coordinated cognitive radio networks Dynamic spectrum leasing Erlang capacity Call admission control New call blocking and call forced termination probabilities |
| title | Performance analysis of dynamic spectrum leasing strategies in coordinated cognitive radio networks |
| title_full | Performance analysis of dynamic spectrum leasing strategies in coordinated cognitive radio networks |
| title_fullStr | Performance analysis of dynamic spectrum leasing strategies in coordinated cognitive radio networks |
| title_full_unstemmed | Performance analysis of dynamic spectrum leasing strategies in coordinated cognitive radio networks |
| title_short | Performance analysis of dynamic spectrum leasing strategies in coordinated cognitive radio networks |
| title_sort | performance analysis of dynamic spectrum leasing strategies in coordinated cognitive radio networks |
| topic | Coordinated cognitive radio networks Dynamic spectrum leasing Erlang capacity Call admission control New call blocking and call forced termination probabilities |
| url | http://link.springer.com/article/10.1186/s13638-018-1266-3 |
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