An Optimal Cross-Layer Framework for Cognitive Radio Network Under Interference Temperature Model

Borhan Jalaeian; Rongbo Zhu; Hooman Samani; Mehul Motani

doi:10.1109/JSYST.2014.2342224

An Optimal Cross-Layer Framework for Cognitive Radio Network Under Interference Temperature Model

Borhan Jalaeian, Rongbo Zhu, Hooman Samani, Mehul Motani

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

24 Citations (Scopus)

Abstract

This paper investigates the optimal scheduling of cognitive radio network links under an interference temperature (IT) model. A link layer model based on the IT model has been developed. A mathematical cross-layered model for the cognitive radio network link scheduling problem under the IT model is presented. The proposed cross-layered model optimizes the performance of the cognitive radio network across several network layers. The objective is to activate as many simultaneous primary/secondary links while the IT constraints are satisfied. The IT-based link layer scheduling can potentially increase the network performance. The proposed model advocates the potential benefits of adopting a location-aware and IT-based MAC protocol in modern wireless networks.

Original language	English
Article number	6879246
Pages (from-to)	293-301
Number of pages	9
Journal	IEEE Systems Journal
Volume	10
Issue number	1
DOIs	https://doi.org/10.1109/JSYST.2014.2342224
Publication status	Published - Mar 2016

Keywords

Cognitive radio
cross layer design
interference
optimal scheduling

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10.1109/JSYST.2014.2342224

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title = "An Optimal Cross-Layer Framework for Cognitive Radio Network Under Interference Temperature Model",

abstract = "This paper investigates the optimal scheduling of cognitive radio network links under an interference temperature (IT) model. A link layer model based on the IT model has been developed. A mathematical cross-layered model for the cognitive radio network link scheduling problem under the IT model is presented. The proposed cross-layered model optimizes the performance of the cognitive radio network across several network layers. The objective is to activate as many simultaneous primary/secondary links while the IT constraints are satisfied. The IT-based link layer scheduling can potentially increase the network performance. The proposed model advocates the potential benefits of adopting a location-aware and IT-based MAC protocol in modern wireless networks.",

keywords = "Cognitive radio, cross layer design, interference, optimal scheduling",

author = "Borhan Jalaeian and Rongbo Zhu and Hooman Samani and Mehul Motani",

note = "Funding Information: This work was supported in part by the National University of Singapore under Grant R-263-000-579-112, by the National Natural Science Foundation of China under Grant 60902053 and Grant 61272497, and by the Science and Technology Research Planning of the Educational Commission of Hubei Province of China under Grant B20110803. Publisher Copyright: {\textcopyright} 2014 IEEE.",

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AU - Jalaeian, Borhan

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AU - Samani, Hooman

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N1 - Funding Information: This work was supported in part by the National University of Singapore under Grant R-263-000-579-112, by the National Natural Science Foundation of China under Grant 60902053 and Grant 61272497, and by the Science and Technology Research Planning of the Educational Commission of Hubei Province of China under Grant B20110803. Publisher Copyright: © 2014 IEEE.

PY - 2016/3

Y1 - 2016/3

N2 - This paper investigates the optimal scheduling of cognitive radio network links under an interference temperature (IT) model. A link layer model based on the IT model has been developed. A mathematical cross-layered model for the cognitive radio network link scheduling problem under the IT model is presented. The proposed cross-layered model optimizes the performance of the cognitive radio network across several network layers. The objective is to activate as many simultaneous primary/secondary links while the IT constraints are satisfied. The IT-based link layer scheduling can potentially increase the network performance. The proposed model advocates the potential benefits of adopting a location-aware and IT-based MAC protocol in modern wireless networks.

AB - This paper investigates the optimal scheduling of cognitive radio network links under an interference temperature (IT) model. A link layer model based on the IT model has been developed. A mathematical cross-layered model for the cognitive radio network link scheduling problem under the IT model is presented. The proposed cross-layered model optimizes the performance of the cognitive radio network across several network layers. The objective is to activate as many simultaneous primary/secondary links while the IT constraints are satisfied. The IT-based link layer scheduling can potentially increase the network performance. The proposed model advocates the potential benefits of adopting a location-aware and IT-based MAC protocol in modern wireless networks.

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An Optimal Cross-Layer Framework for Cognitive Radio Network Under Interference Temperature Model

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Keywords

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