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|Title:||Cognitive Network Interference|
|Authors:||RABBACHIN ALBERTO; QUEK Tony; WIN Moe; SHIN Hyundong|
|Citation:||IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS vol. 29 no. 2 p. 480-493|
|Publisher:||IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC|
|JRC Publication N°:||JRC56236|
|Type:||Articles in Journals|
|Abstract:||Opportunistic spectrum access allows the opening of under-utilized portions of licensed spectrum for secondary reuse, provided that the transmissions of secondary radios do not cause harmful interference to primary network. Such a system would require secondary users to accurately detect and rapidly react to varying spectrum usage. Therefore, it is important to investigate the effect of cognitive network interference on the primary network at the expense of allowing such secondary spectrum reuse. In this paper, we propose a new statistical interference model for cognitive network based on the amplitude aggregate interference, which accounts for the parameters related to the sensing procedure, spatial reuse protocol employed by secondary users, and environment dependent conditions like channel fading and shadowing. We derive the characteristic function and the nth cumulant of the cognitive network interference on the primary user. By using the theory of truncated-stable distribution, we show how we can approximate the cognitive network interference analytically. We further extend the model to include the effect of power control and show how to apply our model to derive system performance measure such as bit error probability in the presence of cognitive network interference. Numerical results show the effectiveness of our model for capturing the statistical behavior of the cognitive network interference. Moreover, this work can serve to bring additional understanding of cognitive network interference for successful deployment of cognitive networks in the future.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
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