Service Awareness Based Adaptive Cooperative Spectrum Sensing Algorithm

QIU Gongan; ZHANG Guoan

doi:10.11999/JEIT160582

Volume 39 Issue 4

Apr. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(4): 866-872

QIU Gongan, ZHANG Guoan. Service Awareness Based Adaptive Cooperative Spectrum Sensing Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(4): 866-872. doi: 10.11999/JEIT160582

Citation:

QIU Gongan, ZHANG Guoan. Service Awareness Based Adaptive Cooperative Spectrum Sensing Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(4): 866-872. doi: 10.11999/JEIT160582

QIU Gongan, ZHANG Guoan. Service Awareness Based Adaptive Cooperative Spectrum Sensing Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(4): 866-872. doi: 10.11999/JEIT160582

Citation:

QIU Gongan, ZHANG Guoan. Service Awareness Based Adaptive Cooperative Spectrum Sensing Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(4): 866-872. doi: 10.11999/JEIT160582

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Service Awareness Based Adaptive Cooperative Spectrum Sensing Algorithm

doi: 10.11999/JEIT160582

QIU Gongan¹,
ZHANG Guoan¹

Funds:

The National Natural Science Foundation of China (61371113, 61601248)

Received Date: 2016-06-03
Rev Recd Date: 2016-11-22
Publish Date: 2017-04-19

Abstract

Abstract

Joint optimization of cooperative spectrum detection and resource allocation based on the service profile is investigated to enhance end-to-end transmission performance of the secondary users by selecting the sensing nodes. At first, the adaptive cooperation thresholds are adjusted according to the weight of available detection index based on the global detection metrics in the last round. And the optimal cooperative mode can be selected to maximize the available sensing region. The idle channels are managed depend on the stability and the available bandwidth metrics for different secondary users. Then, the secondary users can be divided into two categories based on the requested rates, delay sensitive services and reliability sensitive services. The idle channels for the secondary users with different quality of service demands are selected depend on the service profile for enhancing end-to-end transmission performance. Simulation results show that the proposed algorithm can expand the available sensing region through adjusting the global detection metrics adaptively in Rayleigh fading channel and increase the resource utility by decreasing the outage of delay sensitive services.
- Spectrum detection,
- Spectrum allocation,
- Adaptive cooperation,
- Service awareness

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References(20)

References

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