Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/158186
Title: Spectrum allocation for cognitive radio networks with non-deterministic bandwidth of spectrum hole
Authors: Jie Huang;Xiaoping Zeng;Xiaoheng Tan;Xin Jian;Yuan He
Year: 2017
Publisher: IEEE
Abstract: The spectrum allocation for cognitive radio networks (CRNs) has received considerable studies under the assumption that the bandwidth of spectrum holes is static. However, in practice, the bandwidth of spectrum holes is time-varied due to primary user/ secondary user (PU/SU) activity and mobility, which result in non-determinacy. This paper studies the spectrum allocation for CRNs with non-deterministic bandwidth of spectrum holes. We present a novel probability density function (PDF) through order statistics as well as its simplified form to describe the statistical properties of spectrum holes, with which a statistical spectrum allocation model based on stochastic multiple knapsack problem (MKP) is formulated for spectrum allocation with non-deterministic bandwidth of spectrum holes. To reduce the computational complexity, we transform this stochastic programming problem into a constant MKP through exploiting the properties of cumulative distribution function (CDF), which can be solved via MTHG algorithm by using auxiliary variables. Simulation results illustrate that the proposed statistical spectrum allocation algorithm can achieve better performance compared with the existing algorithms when the bandwidth of spectrum holes is time-varied.
URI: http://localhost/handle/Hannan/158186
volume: 14
issue: 3
More Information: 87,
96
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7897325.pdf1.37 MBAdobe PDF
Title: Spectrum allocation for cognitive radio networks with non-deterministic bandwidth of spectrum hole
Authors: Jie Huang;Xiaoping Zeng;Xiaoheng Tan;Xin Jian;Yuan He
Year: 2017
Publisher: IEEE
Abstract: The spectrum allocation for cognitive radio networks (CRNs) has received considerable studies under the assumption that the bandwidth of spectrum holes is static. However, in practice, the bandwidth of spectrum holes is time-varied due to primary user/ secondary user (PU/SU) activity and mobility, which result in non-determinacy. This paper studies the spectrum allocation for CRNs with non-deterministic bandwidth of spectrum holes. We present a novel probability density function (PDF) through order statistics as well as its simplified form to describe the statistical properties of spectrum holes, with which a statistical spectrum allocation model based on stochastic multiple knapsack problem (MKP) is formulated for spectrum allocation with non-deterministic bandwidth of spectrum holes. To reduce the computational complexity, we transform this stochastic programming problem into a constant MKP through exploiting the properties of cumulative distribution function (CDF), which can be solved via MTHG algorithm by using auxiliary variables. Simulation results illustrate that the proposed statistical spectrum allocation algorithm can achieve better performance compared with the existing algorithms when the bandwidth of spectrum holes is time-varied.
URI: http://localhost/handle/Hannan/158186
volume: 14
issue: 3
More Information: 87,
96
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7897325.pdf1.37 MBAdobe PDF
Title: Spectrum allocation for cognitive radio networks with non-deterministic bandwidth of spectrum hole
Authors: Jie Huang;Xiaoping Zeng;Xiaoheng Tan;Xin Jian;Yuan He
Year: 2017
Publisher: IEEE
Abstract: The spectrum allocation for cognitive radio networks (CRNs) has received considerable studies under the assumption that the bandwidth of spectrum holes is static. However, in practice, the bandwidth of spectrum holes is time-varied due to primary user/ secondary user (PU/SU) activity and mobility, which result in non-determinacy. This paper studies the spectrum allocation for CRNs with non-deterministic bandwidth of spectrum holes. We present a novel probability density function (PDF) through order statistics as well as its simplified form to describe the statistical properties of spectrum holes, with which a statistical spectrum allocation model based on stochastic multiple knapsack problem (MKP) is formulated for spectrum allocation with non-deterministic bandwidth of spectrum holes. To reduce the computational complexity, we transform this stochastic programming problem into a constant MKP through exploiting the properties of cumulative distribution function (CDF), which can be solved via MTHG algorithm by using auxiliary variables. Simulation results illustrate that the proposed statistical spectrum allocation algorithm can achieve better performance compared with the existing algorithms when the bandwidth of spectrum holes is time-varied.
URI: http://localhost/handle/Hannan/158186
volume: 14
issue: 3
More Information: 87,
96
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7897325.pdf1.37 MBAdobe PDF