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With the exponential growth of traffic demand, ultra-dense networks are proposed to increase the network capacity. However, the high-density access point (AP) deployment will increase the complexity of AP coordination, and AP cluster (APC) needs to be considered in practical implementations. Due to the dynamic changes in spatiotemporal distribution of users and service demand, we propose a social-energy-based...
Botnets are one of the most serious threats in the Internet, and thus the effective detection of the botnet becomes more and more important. In this paper, inspired by IP tracing technology, we propose a novel botnet detection method that can analyze the data packets, based on graph structure clustering. This method analyzes the comprehensive information of packages content and timestamp flow. Such...
Device-to-Device (D2D) communication can improve spectrum efficiency and link capacity by allowing nearby devices to communicate directly with each other on the licensed frequency bands. However, the interference between D2D users and cellular users on the same resources may decrease the performance of the whole network, and interference management is an indispensable technology. In this paper, an...
Device-to-Device (D2D) communication has been considered as a promising technique to provide better wireless services in local area. In this paper, we propose an improved intra-cluster D2D multicast protocol to enable data sharing among users. In our scheme, several D2D users take turns to multicast the corresponding packets. The sequence of packet transmissions is determined according to the data...
Femtocells have great potential to enhance home cellular access and improve macrocell network efficiency by offload local traffic. However, dense deployment imposes critical challenges to resource management (i.e., interference mitigation and sub-channels allocation).In this paper, to formulate this resource management of femtocell, we propose broker based many-to-many bipartite matching game and...
Many real applications, such as network traffic monitoring, intrusion detection, satellite remote sensing, and electronic business, generate data in the form of a stream arriving continuously at high speed. Clustering is an important data analysis tool for knowledge discovery. Compared with traditional clustering algorithms, clustering stream data is an important and challenging problem which has...
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