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In this paper, we propose a novel wireless network recommendation system to deal with the user association problem with the existence of small cells. In the proposed system, by rating the base stations (BSs), user equipments (UEs) interact with each other for accurate information about the quality of service (QoS) of multimedia services. A UE desires to acquire better recommendation quality while...
With the growing popularity of data mining, privacy has become an issue of growing importance. Privacy can be seen as a special type of goods, in a sense that it can be traded by the owner for incentives. In this paper, we consider a private data collecting scenario where a data collector buys data from multiple data owners and employs anonymization techniques to protect data owners' privacy. Anonymization...
In this paper, we focus on a Device-to-device (D2D) cluster assisted cellular communication in video stream sharing scenario. A solution for energy saving in base station (BS) for downlink transmission is proposed with constraint on D2D cluster's energy consumption. We take peak signal-to-noise ratio (PSNR) as the measurement for video quality and consider both the downlink transmission energy and...
Space-based Information Network (SBIN) can improve the coverage area and achieve the real time information acquisition, transmission and processing with the cooperative resource configuration. This paper proposes a new method of SBIN resource configuration to satisfy the observation and transmission requirements from various tasks. Based on the fitness between SBIN and users, pricing strategy and...
This paper proposes a new approach for global motion estimation using recursive algorithm in the sparsely sampled field, as well as we process parametric estimation in framework of one stage not in proposed pyramid structure. Firstly, we divide the image into blocks and obtain the highest gradient magnitude in each block to form a sparsely sampled field. Then, we derive a new recursive gradient-based...
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