A Semi-Distribution Congestion Control Algorithm for Event-Driven M2M Communications

Machine-to-Machine (M2M) communication is now playing a market-changing role in a wide range of business world. However, in event-driven M2M communications, a large number of devices activate within a short period of time, which in turn causes high radio congestion and severe access delay. In this paper, a semi-distribution congestion control algorithm (CCA) for event-driven M2M communications in LTE-Advanced networks is presented. This CCA uses the random access preamble idleness rate in a small number of slots to estimate the channel load. The eNodeB broadcasts the estimated value of traffic, so the M2M devices can calculate the control factor to control the flow. It is shown that, the throughput and delay performance of the proposed semi-distribution congestion control algorithm are significantly improved compared with the existing schemes.