Analysis of resource sharing between MBB and MTC sessions with data aggregation using matrix-analytic methods and simulation

Mobile broadband (MBB) and ubiquitous machine type communications (MTC) appear essential in future 5G networks, however their requirements in terms of data rate, expected number of users, latency and reliability are largely contradictory, which constitutes a major challenge for 5G architecture design. MTC data aggregation via device clustering may prevent signaling congestion due to a massive number of MTC devices in the cell. Resource sharing between MBB and MTC sessions with MTC data aggregation can be modeled using a multi-service loss system, however its numerical analysis is impeded due to the considerable difference in scales of MBB and MTC parameters. In the paper, we use simulation to assess the performance measures of the loss system and its more realistic modification. Cases of light, moderate and heavy MTC loading and various parameters of the MMPP of MTC arrivals are considered. © Springer Nature Switzerland AG 2018.