Distribution system operators (DSOs) are currently deploying telecommunications infrastructures so as to enable the efficient operation of smart grids. A basic part of a DSO's telecommunications network covers the...
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ISBN:
(数字)9781665427920
ISBN:
(纸本)9781665427920
Distribution system operators (DSOs) are currently deploying telecommunications infrastructures so as to enable the efficient operation of smart grids. A basic part of a DSO's telecommunications network covers the interconnection of electrical substations with the central management system. This work describes a geographic information system (GIS)-based tool for the design of a backbone optical network, deployed specifically to support the DSO's telecommunication requirements. The QGIS open-source software was chosen as a highly suitable platform for the development of all necessary geospatial tools, along with the use of efficient heuristic algorithms, for selecting cost-efficient routes that allow all electrical substations to be reachable from the central management system. This topological design of the DSO's telecommunications network is essential for the deployment of intelligent power distribution networks with increased functionalities currently being implemented by the DSOs.
A new multi-cell joint channel estimation technique for uplink TD-SCDMA system is proposed. The Channel impulse responses of the serving cell and the effective neighboring cell users will process jointly. The new tech...
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A new multi-cell joint channel estimation technique for uplink TD-SCDMA system is proposed. The Channel impulse responses of the serving cell and the effective neighboring cell users will process jointly. The new technique adopts the singular value decomposition criterion to reduce the rank order of the system channel matrix. Depending on a limited number of the real parameters that need it to describe the channel matrix, the estimation process will be efficient and the reduced rank technique can significantly improve the channel estimation accuracy. Simulation results show clearly that the proposed reduced rank estimator can significantly improve the channel estimation accuracy for multi-cell networks under rank-deficient consideration. The mean square error (MSE) measure has shown the validity performance of the proposed estimator over the conventional estimators. In addition, the correlation coefficient measures of the reduced rank estimators have shown slightly the superiority of the proposed technique.
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