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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. [ABSTRACT FROM AUTHOR]

Transition to modern 5G networks under the conditions of limited frequency resources is challenged by the problem of ensuring sustainable high data rates. Multicast technology offers a possible solution to the problem of transferring the same data to the number of devices what results in significant improvement of spectral efficiency and throughput of a wireless network. Since in multicast mode one and the same frequency band is used for several devices, higher data rates can be achieved compared to unicast mode, where for each device only a small individual frequency band is allocated. In this paper, we focus on constructing an analytical framework that allows for modelling mobility-aware 5G system in the form of queuing networks. [ABSTRACT FROM AUTHOR]