<p>The collision of massive Machine-Type Communication (MTC) devices during the Random Access (RA) procedure in 3GPP cellular networks degrades network throughput for MTC applications. To reduce collisions, stationary devices are often treated as a separate group from mobile devices due to their distinct requirements and characteristics. The fixed-location feature of devices, such as smart meters, can be leveraged to alleviate RA collisions by using their nearly constant Timing Advance (TA) values. In this paper, the information from selected peaks of the correlations between the received preamble signals and a predefined preamble set at the BS is used to determine the number of devices transmitting the same preamble code. Adjacent peaks, based on their TA values, are grouped into clusters, and the Resource Block (RB) is assigned to the strongest peak in each cluster. Numerical simulations show that the proposed scheme not only improves RA throughput but also reduces the average resource utilization per successful attempt compared to what is expected from the conventional RA procedure.</p>

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Enhanced random access throughput for fixed-location machine-type communications devices: a collision resolution scheme

  • Zahra Alavikia

摘要

The collision of massive Machine-Type Communication (MTC) devices during the Random Access (RA) procedure in 3GPP cellular networks degrades network throughput for MTC applications. To reduce collisions, stationary devices are often treated as a separate group from mobile devices due to their distinct requirements and characteristics. The fixed-location feature of devices, such as smart meters, can be leveraged to alleviate RA collisions by using their nearly constant Timing Advance (TA) values. In this paper, the information from selected peaks of the correlations between the received preamble signals and a predefined preamble set at the BS is used to determine the number of devices transmitting the same preamble code. Adjacent peaks, based on their TA values, are grouped into clusters, and the Resource Block (RB) is assigned to the strongest peak in each cluster. Numerical simulations show that the proposed scheme not only improves RA throughput but also reduces the average resource utilization per successful attempt compared to what is expected from the conventional RA procedure.