Sensing-throughput tradeoff for interference-aware cognitive radio networks

Nowadays cognitive radio networks (CRNs) have been proposed as a promising method to solve the problem of radio spectrum shortage and spectrum sensing has been known as a key step to enable the CRNs and utilize the precious spectrum resources. In order to protect primary users from being interfered,...

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Published in:2012 2nd International Conference on Computer Science and Network Technology pp. 660 - 665
Main Authors: Kan, Changju, Ding, Guoru, Song, Fei, Wu, Qihui
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2012
Subjects:
Analytical models
Cognitive radio
cognitive radio network
Computational modeling
Interference
interference-aware
IP networks
joint optimization
probability of interference
Protection
Search problems
Sensors
Signal to noise ratio
spectrum sensing
Throughput
ISBN:1467329630, 9781467329637
Online Access:Get full text
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Abstract Nowadays cognitive radio networks (CRNs) have been proposed as a promising method to solve the problem of radio spectrum shortage and spectrum sensing has been known as a key step to enable the CRNs and utilize the precious spectrum resources. In order to protect primary users from being interfered, most of the related work has focused on the restriction of the probability of missed detection, however in practice, even under the missed detection cases, secondary users located far away from the primary users can also be interference-free to primary users. Motivated by this fact, in this letter we introduce an interference-aware spectrum sensing model and investigate the issue of sensing-throughput tradeoff in interference-aware cognitive radio networks. Specifically, in this letter we take the throughput as the objective of the cognitive radio network, and search for the maximum achievable throughput by jointly optimizing the sensing time and the detection threshold. Compared with the existing algorithms, the accompanying analytical and numerical analysis in this letter show that the proposed algorithm makes better utilization of the spectrum resources. Specially, the proposed algorithm can further improve the achievable throughput of the CRN by raising up to 0.653 bit/s/Hz within the distance of 500m to about 850m which is increased by 48% in average of the achievable throughput and up to 3.208 bit/s/Hz within the distance of 1600m to 2000m which is increased by 49.4% in average.
AbstractList Nowadays cognitive radio networks (CRNs) have been proposed as a promising method to solve the problem of radio spectrum shortage and spectrum sensing has been known as a key step to enable the CRNs and utilize the precious spectrum resources. In order to protect primary users from being interfered, most of the related work has focused on the restriction of the probability of missed detection, however in practice, even under the missed detection cases, secondary users located far away from the primary users can also be interference-free to primary users. Motivated by this fact, in this letter we introduce an interference-aware spectrum sensing model and investigate the issue of sensing-throughput tradeoff in interference-aware cognitive radio networks. Specifically, in this letter we take the throughput as the objective of the cognitive radio network, and search for the maximum achievable throughput by jointly optimizing the sensing time and the detection threshold. Compared with the existing algorithms, the accompanying analytical and numerical analysis in this letter show that the proposed algorithm makes better utilization of the spectrum resources. Specially, the proposed algorithm can further improve the achievable throughput of the CRN by raising up to 0.653 bit/s/Hz within the distance of 500m to about 850m which is increased by 48% in average of the achievable throughput and up to 3.208 bit/s/Hz within the distance of 1600m to 2000m which is increased by 49.4% in average.
Author Kan, Changju
Wu, Qihui
Ding, Guoru
Song, Fei
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  givenname: Changju
  surname: Kan
  fullname: Kan, Changju
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  organization: College of Communications Engineering, PLA University of Science and Technology, Nanjing, China
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  organization: College of Communications Engineering, PLA University of Science and Technology, Nanjing, China
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  surname: Song
  fullname: Song, Fei
  organization: College of Communications Engineering, PLA University of Science and Technology, Nanjing, China
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  givenname: Qihui
  surname: Wu
  fullname: Wu, Qihui
  organization: College of Communications Engineering, PLA University of Science and Technology, Nanjing, China
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Snippet Nowadays cognitive radio networks (CRNs) have been proposed as a promising method to solve the problem of radio spectrum shortage and spectrum sensing has been...
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StartPage 660
SubjectTerms Analytical models
Cognitive radio
cognitive radio network
Computational modeling
Interference
interference-aware
IP networks
joint optimization
probability of interference
Protection
Search problems
Sensors
Signal to noise ratio
spectrum sensing
Throughput
Title Sensing-throughput tradeoff for interference-aware cognitive radio networks
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