Flux Research Group / School of Computing

Efficient, Adaptive and Scalable Device Activation for M2M Communications

Arijit Banerjee, Binh Nguyen, Vijay Gopalakrishnan, Sneha Kumar Kasera, Seungjoon Lee, and Jacobus (Kobus) Van der Merwe

IEEE International Conference on Sensing, Communication and Networking (IEEE SECON) 2015.

Mobile Networking



When traffic arrives from the network for an idled mobile device, the network executes device activation procedures to wake the device up. Current device activation mechanisms are ill suited to support the expected growth of machine-to-machine (M2M) devices and traffic. We propose an adaptive device acti- vation architecture for LTE/EPC cellular networks that adapts to network conditions and M2M application requirements to realize scalable device activation without increasing the resources used for this purpose. Our evaluation shows that our adaptive approach enables the network to handle M2M applications with a large number of devices without negatively impacting existing human-to-human (H2H) and human-to-machine (H2M) traffic.