Assessment of LTE Wireless Accessing for Managing Traffic Flow of IoT Services

There is a tremendous growth in the traffic of the Internet of Things (IoT) devices. Some of the IoT application scenarios may prefer the wireless access supported by a Long Term Evolution (LTE) network. Due to the limited available spectrum, it is very important for the LTE network to efficiently control traffic flow and allocate uplink radio resources. To perform the above tasks, an Exponentially Weighted Moving Average (EWMA) rate was defined to measure the data rate of an LTE bearer. Based on the EWMA rate, an Allocate as Granted (AAG) resource allocation scheme was also proposed. With the clear definition of EWMA rate, the AAG scheme has outstanding performance in terms of User Equipment (UE) satisfaction, packet delay, and system throughput. This paper investigates the characteristics of the EWMA rate and explains why it is suitable to compromise the expectation of both the UE and the Evolved Node B (eNB). Based on the EWMA rate, this paper also describes how traffic parameters are related to the performance of the traffic and the eNB, as well as the rate of charging. This issue is also discussed by taking examples of Facebook webcast traffic patterns, which could be similar to that of monitoring devices of IoT.