Admission Control for mMTC Traffic With Computation Requirements in 5G Networks

Massive Machine-Type Communications are one of the service types supported in 5G. They are characterized by massiveness and sporadic traffic, as well as to be energy efficient. While the scattered nature of the traffic occurrence does not pose a serious burden on efficient network planning, the requirement to serve a massive number of devices and to be energy-efficient certainly does. Moreover, besides the successful transmission/reception, these data need to be processed too. With limited resources on both the Radio Access Network part (responsible for communication) and edge cloud part (responsible for processing), as well as with the competition among a large number of users with this traffic in the cellular network, we need to address the problem of admission control, so that the network can successfully serve all the users that were admitted. To that end, in this paper we model the behavior of the system using a queueing network and perform the analysis that leads to admission policies for mMTC traffic with computation requirements. We do this both for homogeneous and heterogeneous users. Using data from a 5G trace, we validate our analytical results and provide further insights. Results show that the number of admitted users almost completely depends on the traffic pattern and that the entity with the lower capacity determines the number of admitted users.