International Journal For Multidisciplinary Research

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Congestion reduction using resource allocation in M2M communication using LTE

Author(s) Ms. Kaviya P Perumal, Ms. Ajoe Sweetlin Jeena A
Country India
Abstract The massive access attempts by M2M devices is susceptible to increased traffic and overload in Random Access (RA) mechanism of Long Term Evolution (LTE) network. Due to limited number of preamble in RA, the simultaneous attempt
of multiple M2M devices increase the probability of preamble collision thereby resulting in sharp deterioration of LTE. The collided devices re-transmit the preamble to access the channel of LTE network. But such unlimited re-transmission drains the energy level of M2M devices. In this paper, an energy efficient re-transmission and dynamic assignment of preamble (ERDAP)
model is proposed to limit the maximum re-tries of collided devices. In ERDAP, the Beta distribution function is derived for choosing the preambles by multiple devices based on available devices in different load conditions, which results in high RA success probability. The simulation is performed in NS3 with appropriate configuration setting related to RA mechanism of LTE. From the analysis, it is inferred that ERDAP model can resolve simultaneous arrivals of 30,000 devices with maximum of 15 preamble re-tries achieves an average access delay of 1.0
seconds. As a result, the ERDAP model best suits for M2M communication where massive RA attempts is performed to access the LTE network.
Keywords Machine-to-Machine, LTE Random Access, RACH Procedure, Access Overload, Collision Resolution, Pream- ble Collision.
Field Engineering
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-03
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.77031
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