The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Periodic broadcasting is the most efficient strategy to distribute popular video streams. In the past decade, many periodic broadcasting schemes were presented to reduce client's buffer usage and client's waiting time. After that, people focused on the problem of heterogeneous receiving. A recently proposed broadcasting scheme named Delay Receiving (DeRe) solves this problem by ensuring low waiting...
Heterogeneous network (HetNet) is one of the key architectures in 3rd Generation Partnership Projects (3GPP), in which lower-power but more flexible Pico base station (PBS) is appended. The original homogeneous base station stays the same and is called Macro base station (MBS) in HetNet. The traditional network admission and handover is performed by the reference signal received power (RSRP), which...
In this paper, we apply the k-core decompostion to analyse the Autonomous System (AS) level Internet connectivity graph from January 2006 to October 2013 and finally obtain 94 Internet Nuclei for each month. Then, we empirically study the evolution and characteristics of the Internet Nucleus and find that the size of the Internet Nucleus grows in a linear form, which is different from the exponential...
Recommender Systems(RSs) are software tools and techniques providing suggestions for items to be of use to a user. With the increasing development of Internet and explosion of information, recommender system has been an indispensable component in many applications. In this paper, a recommendation algorithm based on factorization model is proposed, which is applied to TV system. To quantize users'...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.