Internet of Things (IoT) is thought to become the third wave of the Internet and to bring important changes into both technological and business aspects of telecommunications. However, for this to happen, an infrastructure should be developed in order to provide network access and management functions to millions, if not billions of IoT-enabled devices. LTE networks could play the key role in the IoT communications landscape, provided that their capabilities are enhanced to efficiently support IoT devices and provide massive machine-to-machine connections without hampering human-to-human communications. Our paper addresses resource allocation in an LTE cell with both human-to-human and machine-to-machine connections. The cell is modeled as a multiservice queuing system with streaming and elastic jobs flows. Resources for machine-to-machine connections are allocated in batches of fixed size; requests for them arrive according to a Markovian arrival process. We obtain the stationary probability distribution of the system and formulas for request blocking probabilities.

LTE, Internet of Things, multiservice queuing system, Markovian arrival process, MAP.