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<p>It is a form of direct device-to-device communication that is designed to connect an enormous number of devices. M-2-M allows for wide and smooth communication and complete automation of mechanical processes. It might bring a revolution in many industries and even in our personal life. Recently, the recent advancements in communication technology have made the LT-E/LT-E-A a very promising technology that can be used to facilitate M2M communications. The integration of M2M communications into cellular networks presents a unique set of challenges due to the unique service demands and qualities of M2M devices. One of the difficulties that needs to be addressed is the management of radio resources, particularly in the uplink direction. The resource allocation problem is complicated by the combination of high energy efficiency needs, various quality of service (QoS) requirements of M-2-M devices, and typical Human-to-Human (H2H) users. This study addresses the problem of allocating radio resources in LT-E networks to achieve energy efficiency and coexistence between H2H and M2M communication scenarios. The objective is to ensure quality of service (QoS) for diverse users. The simulation results demonstrate that the suggested approach enhances the number of successful requests and decreases the overall service time during a traffic surge.</p>

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Resource Allocation in Mobile Communication Systems for LT-E Networks with Machine-to-Machine Communication

  • 期刊论文

  • 发表日期：

    2025年5月28日

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摘要

It is a form of direct device-to-device communication that is designed to connect an enormous number of devices. M-2-M allows for wide and smooth communication and complete automation of mechanical processes. It might bring a revolution in many industries and even in our personal life. Recently, the recent advancements in communication technology have made the LT-E/LT-E-A a very promising technology that can be used to facilitate M2M communications. The integration of M2M communications into cellular networks presents a unique set of challenges due to the unique service demands and qualities of M2M devices. One of the difficulties that needs to be addressed is the management of radio resources, particularly in the uplink direction. The resource allocation problem is complicated by the combination of high energy efficiency needs, various quality of service (QoS) requirements of M-2-M devices, and typical Human-to-Human (H2H) users. This study addresses the problem of allocating radio resources in LT-E networks to achieve energy efficiency and coexistence between H2H and M2M communication scenarios. The objective is to ensure quality of service (QoS) for diverse users. The simulation results demonstrate that the suggested approach enhances the number of successful requests and decreases the overall service time during a traffic surge.