A Spectrum Decision Framework for Cognitive Radio Networks
Cognitive radio networks have been proposed as a solution to both spectrum inefficiency and spectrum scarcity problems. However, they face to a unique challenge based on the fluctuating nature of heterogeneous spectrum bands as well as the diverse service requirements of various applications. In thi...
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| Veröffentlicht in: | IEEE transactions on mobile computing 2011-02, Vol.10 (2), p.161-174 |
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| creator | Won-Yeol Lee Akyldiz, I F |
| description | Cognitive radio networks have been proposed as a solution to both spectrum inefficiency and spectrum scarcity problems. However, they face to a unique challenge based on the fluctuating nature of heterogeneous spectrum bands as well as the diverse service requirements of various applications. In this paper, a spectrum decision framework is proposed to determine a set of spectrum bands by considering the application requirements as well as the dynamic nature of spectrum bands. To this end, first, each spectrum is characterized by jointly considering primary user activity and spectrum sensing operations. Based on this, a minimum variance-based spectrum decision is proposed for real-time applications, which minimizes the capacity variance of the decided spectrum bands subject to the capacity constraints. For best-effort applications, a maximum capacity-based spectrum decision is proposed where spectrum bands are decided to maximize the total network capacity. Moreover, a dynamic resource management scheme is developed to coordinate the spectrum decision adaptively dependent on the time-varying cognitive radio network capacity. Simulation results show that the proposed methods provide efficient bandwidth utilization while satisfying service requirements. |
| doi_str_mv | 10.1109/TMC.2010.147 |
| format | Magazinearticle |
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However, they face to a unique challenge based on the fluctuating nature of heterogeneous spectrum bands as well as the diverse service requirements of various applications. In this paper, a spectrum decision framework is proposed to determine a set of spectrum bands by considering the application requirements as well as the dynamic nature of spectrum bands. To this end, first, each spectrum is characterized by jointly considering primary user activity and spectrum sensing operations. Based on this, a minimum variance-based spectrum decision is proposed for real-time applications, which minimizes the capacity variance of the decided spectrum bands subject to the capacity constraints. For best-effort applications, a maximum capacity-based spectrum decision is proposed where spectrum bands are decided to maximize the total network capacity. 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| subjects | Applied sciences Band spectra Bands Bandwidth Banking industry best-effort application Chromium Cognitive radio networks Computer simulation Delay Dynamics Exact sciences and technology Fluctuation Mathematical models maximum capacity-based spectrum decision minimum variance-based spectrum decision Networks Organization, operation and development plans Radio Radiocommunication specific techniques Radiocommunications Real time systems real-time application Resource management Sensors spectrum characterization spectrum decision Studies Switches Telecommunications Telecommunications and information theory Utilization |
| title | A Spectrum Decision Framework for Cognitive Radio Networks |
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