Proceedings ArticleDOI
To evaluate aggregate interference for underlay cognitive radio network
Anirudh Ranga
- pp 0225-0227
TLDR
The Moment generating function and gamma approximation are in its exact and approximated form, which are calculated for measurement of interference power.Abstract:
In this paper we try to evaluate the aggregate interference on a primary user caused by random number of cognitive radios (secondary users). Some parameters like path loss, Rayleigh fading and shadowing are also studied. The Moment generating function and gamma approximation are in its exact and approximated form, which are calculated for measurement of interference power.read more
Citations
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Proceedings ArticleDOI
Aggregate Interference Prediction Based on Back-Propagation Neural Network
TL;DR: This paper gives design guidelines of BP neural network appropriate for aggregate interference prediction via revealing the impact of several key factors on the prediction accuracy, such as the number of input parameters to the neural network, the coordinate system in use, and thenumber of hidden neurons.
References
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Cognitive radio: brain-empowered wireless communications
TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Journal ArticleDOI
COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - The Throughput Potential of Cognitive Radio: A Theoretical Perspective
Sudhir Srinivasa,Syed A. Jafar +1 more
TL;DR: The trade-off between regulation and autonomy inherent in the design and performance of cognitive networks is examined through a simple example, which shows that the optimal amount of licensing is equal to the duty cycle of the traffic arrivals.
Journal ArticleDOI
Cognitive Network Interference
TL;DR: This work proposes a new statistical model for aggregate interference of a cognitive network, which accounts for the sensing procedure, secondary spatial reuse protocol, and environment-dependent conditions such as path loss, shadowing, and channel fading, and demonstrates the effectiveness of this model in evaluating the system performance of cognitive networks.
Proceedings ArticleDOI
Interference and Deployment Issues for Cognitive Radio Systems in Shadowing Environments
TL;DR: A model for calculating the aggregate interference encountered by primary receivers in the presence of randomly placed cognitive radios (CRs) shows that if the CRs have apriori knowledge of the radio environment map (REM), then a much larger number of CRs can be deployed especially in a high density environment.
Journal ArticleDOI
Aggregate Interference and Capacity-Outage Analysis in a Cognitive Radio Network
Mahsa Derakhshani,Tho Le-Ngoc +1 more
TL;DR: It is shown that the beacon transmitter at the PU receiver imposes less interference and, hence, better capacity-outage probability to the PU than the beacon transmitters located at a PU transmitter.