A novel RACH mechanism for dense cellular-IoT deployments

A Successive Interference Cancellation Based Random Access Channel Mechanism for Machine-to-Machine Communications in Cellular Internet-of-Things

“…To further enhance the RACH success rate many mechanisms have been proposed in the literature. A fast RACH mechanism has been proposed in [8] that allows a fixed number of devices to contend in a time slot that results in more number of RACH successes. In [9], a distributed queue based approach has been proposed that allows the M2M devices to self organize themselves into a logical queue and start RACH mechanism based on the device's position in the logical queue in order to improve the success rate.…”

“…Moreover, the number of devices that are successful with both intra-slot and inter-slot SIC also increases with the slot number. Thus, the total number of RACH successes for the proposed mechanism increases Mechanism Parameter Value 3GPP-EAB [7] Average throughput 37% FRM [8] Average throughput 37% QDAM [12] Average throughput 91.67% Access delay M-ACB [13] Success rate 86% Time delays 1250 TDIA [14] Probability of successful 98% preamble transmission CBGP [15] Successful access probability 0.75 Average access delay 7000 SACB [23] Average access delay 500 EH-based ACB [26] Throughput 75% Preamble barring [29] Success probability 0.37 Normalized throughput 37% T-NORA [30] Average throughput Average access delay 2000 CRA [31] Normalized throughput 63% GF protocol [37] Success probability 0.8 NORA [4] Successful access probability 0.48 Average throughput 48% Average access delay 498 SIC-based RACH [6] Successful access probability 0. exponentially with the slot number and maximum can be attained at the last slot of the radio frame as observed in Fig. 7 (b).…”