| Summary: | 碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 98 === Internet Protocol-based Television (IPTV) is called a new killer network service[1][16]; it includes a number of features such as interactivity, low bandwidth requirement, personalization, time shifting, and multiple access devices. IPTV services combine a lot of existing network services such as multicast TV, Video on Demand(VoD), triple play (Video、Voice、Data), web service and e-mail. These services we have mentioned are the interactive services that we cannot experience in traditional TV.
Quality of Experience (QoE) is one of the measures that whether the services meet user's needs. In traditional TV, these TV channels are broadcasting to air and end user just need to switch the read frequency by remote controller, and then they can finish a channel zapping. But in IPTV service, if the requested channel is not transmitted to core network or access network, there is a very long channel zapping time and the TV screen will be black. Therefore the channel zapping time becomes an important concept to measure User's QoE.
In this theme, we focus on reducing the channel zapping time based on user's behavior prediction. In some proposed scheme, they try to pre-join some channels in advance and the channel hit rate at the Set Top Box (STB) will increase when the user's behavior in line with their expectation. But the temporary change of the user’s behavior is not in their consideration. For this purpose, we try to record user's behavior and then modify the probability distribution of user's behavior when user has a channel zapping. According to the user's behavior probability distribution, STB can shorten channel zapping time by making a user's behavior prediction for user's next behavior when user's operation on IPTV has a change. Simulation results show that our solution increases the channel hit rate and decreases the channel zapping time than some proposed schemes
|
|---|
