Analytical model for performance analysis of video flow transmission to multicast subgroups in 5G wireless networks

The growing traffic of mobile applications that use streaming video and large files makes you think about how you can optimize the process of transferring data from the base station to the mobile device. One way to improve data transfer speed is to use multicasting technology that allows data to be transferred to a subset of users interested in one content using a minimum number of network resources. Depending on application-level technologies and user needs, an appropriate method shall be employed to maximize the corresponding target characteristic, i.e. Aggregate Data Rate; Proportional Fairness; Group Dissatisfaction Index, etc. In this paper, we consider methods for multicast subgrouping to maximize the Aggregate, Balanced, and Fair Data Rates in LTE networks. © 2019 Author(s).