TARA: An Efficient Random Access Mechanism for NB-IoT by Exploiting TA Value Difference in Collided Preambles


The 3rd Generation Partnership Project (3GPP) has specified the narrowband Internet of Things (NB-IoT) standard in order to satisfy the enormous demand for applications related to the Internet of Things (IoT). However, due to the mismatch between frequent random access attempts made by a large number of devices and the limited radio resources, collisions in the random access (RA) channel of NB-IoT can be severe. This is because of the channel's use of random access. In order to make NB-random IoT's access more effective, the authors of this paper propose a brand new random access mechanism they call time-alignment-value based random access, or TARA for short. TARA's primary function is to execute speedy retries in the event of a failure, and it does this by capitalizing on the disparity between the time-alignment (TA) values of colliding preambles. A theoretical model of TARA is derived for the purpose of conducting a rigorous analysis of TARA, and the validity of this model is confirmed through simulations. Additional simulations are run in order to assess how well TARA works in relation to the various system parameters. In addition to that, comparisons with already established systems are carried out. Analytical and simulation results show that the TARA protocol achieves, under a variety of system parameters, a success probability of random access that is 30 percent higher, a throughput that is 75 percent higher, and an access delay that is 40 percent lower than the slotted Aloha mechanism of the original NB-IoT protocol. Additionally, its performance is far superior to that of other random access schemes.

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