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This paper proposes two solutions about bandwidth reservation. On the one hand, the algorithm strategy of network resource bandwidth reservation is considered, and on the other hand, the scheduling method of bandwidth reservation for multi-user and multi-task is considered. In the process of bandwidth transmission, attention to a single request task can be placed on the user as a whole, so that the user's bandwidth scheduling can be optimized. In addition, the network bandwidth scheduling table on the transmission path is divided into a batch of bandwidth allocatable areas, which can be used to schedule task requests iteratively when processing bandwidth scheduling request tasks.

Boosted by the visions of 5G technology, along with the proliferation of IoT devices, we are lucky to bear witness of a tremendous shift within the Internet, mobile computing, and ubiquitous applications pervading people’s daily life. To catch up with the speed of this evolution, new architectures, which enable us to decentralize and focus more on the edge of the network, have to show up. To effectively address the record-breaking growth of data traffic, we also have to come up with new caching mechanisms in coping with users’ demanding QoE along with other aspects, such as data privacy and energy efficiency. In this paper, we intend to begin with reviews on edge caching. First, we make a detailed overview of mobile edge caching. Then, we move on to the QoS and QoE part, discussing the related literature concerning these topics. We then start to address factors concerning edge caching and QoE. Four cutting-edge applications utilizing these technologies with challenges posed by current network architectures are made clear. Our paper closes with some future research directions.