Modeling of Distributed Queueing-Based Random Access for Machine Type Communications in Mobile Networks

Machine type communications (MTC) devices stay in idle mode to save energy and should perform random access (RA) procedure to obtain radio resources for data transmission. The RA procedure introduces access delay and extra power consumption for the MTC devices. Thus, RA needs to be optimized. In this letter, we develop low complexity analytical models to rapidly estimate maximum access delay and average number of preamble transmissions for distributed queueing-based random access (DQRA) protocol, which improves the performance of standard RA for MTC in LTE. The proposed model can be used to analyze the performance of group paging using DQRA. The performance analysis shows that the proposed analytical models accurately match the simulation results.