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Cooperative receiving has been recognized as an effective technique to mitigate inter-cell interference (ICI) for the uplink of multicell wireless systems. However, how to cluster the cooperative cells effectively is critical to the subsequent multicell signal processing and the corresponding performance improvement. A dynamic user-centric clustering scheme based on the interference channel strength...
In this paper, user-centric clustering for uplink coordinated multi-point (CoMP) processing in a multi-cell environment is investigated such that the inter-cell interference (ICI) within cluster can be effectively eliminated. Although full cooperation among all cells in the network can achieve the highest cooperative gain in terms of ICI cancellation, such scheme consumes too much cooperation resources...
This paper proposes an improved FCM algorithm aiming at many problems in Fuzzy C Means algorithm, such as being sensitive to initial conditions, usually leading to local minimum results. The new algorithm can obtain global optimal solutions through a new simple and efficient selecting rule of the initial cluster centers, furthermore alternating optimization in terms of a novel separable criterion...
In this paper a unique landmark identification method is proposed for identifying large distinguishable landmarks for 3D visual simultaneous localization and mapping (SLAM) in unknown cluttered urban search and rescue (USAR) environments. The novelty of the method is the utilization of both 3D (i.e., depth images) and 2D images. By utilizing a scale invariant feature transform (SIFT)-based approach...
K-means algorithm is widely used in spatial clustering. It takes the mean value of each cluster centroid as the Heuristic information, so it has some disadvantages: sensitive to the initial centroid and instability. The improved clustering algorithm referred to the best clustering centriod which is searched during the optimization of clustering centroid. That increased the searching probability around...
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