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These schemes take advantage of inter-helper channels and transform the overall DSS network into a series of relay networks, where the conventional half-duplex NAF protocol [37, 38] will be used.
In the subsequent sections, we will focus on the case of n t =1 and K≫n r, and we will provide three transmission schemes, each for a different configuration of the wireless DSS network and for a different design objective.
We then present two more elaborate schemes extending the first one, achieving a higher DMT by taking advantage of the inter-helper communication links and transforming the overall DSS network into a series of relay networks, where conventional half-duplex4 cooperative-communication protocols such as the non-orthogonal amplify-and-forward (NAF) strategy [37, 38] will be used.
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Dynamic spectrum sharing (DSS) in cognitive radio networks has been widely considered as an effective means to allow the secondary users to dynamically access the licensed frequency bands and thereby to overcome the problem of spectrum under-utilization caused by the static spectrum allocation.
The core of the proposed DSS was a Probabilistic Neural Network classifier and was evaluated on 140 rare brain cancer cases, regarding its ability to predict tumors' malignancy, using a panel of 20 morphological and textural features Generalization was estimated using an external 10-fold cross-validation.
We are grateful to InDepth Network for providing the DSS platform for research and for technical support to the DSS.
A Decision Support System (DSS) based on Dynamic Bayesian Networks (DBNs) is proposed here aimed to palliate that limitation through time slicing technique.
The paper can form the basis for a significant further research in DSS for emerging 3G/4G wireless networks supporting QoS for a range of sophisticated and resource intensive mobile applications.
The DSS is constructed as a Bayesian network and thus incorporates and presents information on uncertainties.
With digital TV and 8VSB, I'll have to hook everything up to some sort of cable network or have pricey DSS receivers for each TV.
By means of simulations, we demonstrate that our analytical model approximates the TWIN network very well; moreover, DSS incurs smaller queueing delay and delay variance, which ensures better QoS.
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