A fairness adjustable grouping (FAG) multiuser scheduling algorithm based on MMSE-SIC (Minimum Mean Square Error-Successive Interference Cancel) receiver is proposed for MIMO MAC (Multiple Access Channel). The impleme...
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A fairness adjustable grouping (FAG) multiuser scheduling algorithm based on MMSE-SIC (Minimum Mean Square Error-Successive Interference Cancel) receiver is proposed for MIMO MAC (Multiple Access Channel). The implementation in the 3GPP LTE VMIMO (Virtual Multiple Input Multiple Output) systems as pairing scheduling (PS) is discussed. This algorithm makes use of the proportional fair (PF) scheduling to select the primary user, and applies of grouping method as well as a designed fairness adjustable pairing criterion to select the paring user which takes account of both the channel orthogonality and system capacity. The comparison simulation results show that the FAGPS scheme exploits the multiplexing gain and the multiuser diversity gain, while at the same time improves the service quality of the users at the cell edge. Furthermore, the tradeoff between the system throughput and user fairness can be achieved by varying an adjustable coefficient of the algorithm.
In this paper, a technique for the extraction of roads in a high resolution synthetic aperture radar (SAR) image is presented. And a three-step method is developed for the extraction of road network from space borne S...
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ISBN:
(纸本)9780819469540
In this paper, a technique for the extraction of roads in a high resolution synthetic aperture radar (SAR) image is presented. And a three-step method is developed for the extraction of road network from space borne SAR image: the process of the feature points, road candidate detection and connection. Roads in a high resolution SAR image can be modeled as a homogeneous dark area bounded by two parallel boundaries. Dark areas, which represent the candidate positions for roads, are extracted from the image by a Gaussian probability iteration segmentation. Possible road candidates are further processed using the morphological operators. And the roads are accurately detected by Hough Transform, and the extraction of lines is achieved by searching the peak values in Hough Space. In this process, to detect roads more accurately, post-processing, including noisy dark regions removal and false roads removal is performed. At last, Road candidate connection is carried out hierarchically according to road established models. Finally, the main road network is established from the SAR image successfully. As an example, using the ERS-2SAR image data, automatic detection of main road network in Shanghai Pudong area is presented.
Image matching is the first step in almost any 3D computer vision task, and hence has received extensive attention. In this paper, the problem is addressed from a novel perspective, which is different from the classic...
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ISBN:
(纸本)9780819469502
Image matching is the first step in almost any 3D computer vision task, and hence has received extensive attention. In this paper, the problem is addressed from a novel perspective, which is different from the classic stereo matching paradigm. Two images with different resolutions, that is high resolution versus low resolution are matched. Since the high resolution image only corresponds to a small region of the low resolution one, the matching task therefore consists in finding a small region in the low resolution image that can be assigned to the whole high resolution image under the plane similarity transformation, which can be defined by the local area correlation coefficient to match the interest points and rectified by similarity transform. Experiment shows that our matching algorithm can be used for scale changing up to a factor of 6. And it is successful to deal with the point matching between two images under large scale.
This paper presents energy analysis of a new routing protocol CIDRSN (Cluster ID based Routing in static Sensor Networks) with closedform probability oferror and bit energy expression in Nakagami-m fading channel. CID...
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This paper presents energy analysis of a new routing protocol CIDRSN (Cluster ID based Routing in static Sensor Networks) with closedform probability oferror and bit energy expression in Nakagami-m fading channel. CIDRSN takes the cluster ID as next hop address instead of cluster-head ID in routing table and eliminate the cluster formation phase and routing phase from being executed in each round, which reduces the energy consumption and increases the network life to about 16%. Robustness is increased by multi-path routing. Simulation results show that the proposed protocol outperforms the preceding hierarchical routing protocols.
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