Study and Design of Signal Load Reduction and Radio Resource Allocation for Internet of Things over Lte Network ( II )

Recently, network application services have been gradually extended from human to human (H2H) communication to cover machine to machine communication (M2M) of Internet of Things (IoT). Several telecommunication operators found that the bandwidth requirement and connection behavior of M2M are quite different from that of H2H especially for the control plane. In IoT, there are huge connected devices, and they always send frequent and short small data. These properties are quite different from the traditional voice or multimedia communications. Our laboratory measured the signaling behaviors of social network service, whose behavior is similar to the IoT services, in operator’s practical network and found that the signal volume generated by one handheld device with Facebook service is equal to the volume that generated by the device to dial more than 2 thousands voice calls. The huge signal overhead may affect the successful connection establishment rate. In addition, although 4G LTE provides flexible bandwidth allocation mechanism, it is still a crucial issue to provide an efficient resource allocation algorithm under the constraints of power saving and transmission quality for machine type communication devices (MTCD). And this is one of the critical issues towards the success of IoT services.We have proposed the dynamic grouping and the group based radio resource allocation algorithms in previous year of this two-year project. The simulation results clearly illustrate the proposed algorithms can effectively minimize the signal overhead while maintaining the service quality. In this year, we will further take the transitions among power saving modes into the considerations of resource allocation and apply the Allocation before Request (AbR) concept to design the proactive resource allocation algorithm. The burst scheduling characteristics of the proposed scheme shall be able to achieve the reduction of control signal and minimization of power utilization in LTE/IoT services. The effectiveness of the proposed scheme will be verified through exhaustive simulations.