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A congestion control approach based on dynamic ACB of differentiated M2M services in 5G/HetNet

机译:5G / HetNet中基于差异M2M服务动态ACB的拥塞控制方法

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Machine to Machine (M2M) or Machine Type Communication (MTC) is one of the emerging 5G technologies and represents a key component of Internet of Thing (IoT). In M2M networks a key challenge is to overcome the overload and congestion problems caused by random access requests from massive MTC devices. Hence to deal with Random Access channel (RACH) overload and to better control the Access the 3GPP proposed the Access Class Barring (ACB) method. In this paper we proposed an algorithm to improve this method based on load balancing mechanism and a dynamic ACB factors, according M2M traffic category with respect to their access delay. Simulation results were done for testing the effectiveness of our proposed mechanism and show that using a base station selection method and tacking into account differentiated M2M services can increase the access success probability and reduce Access delay especially for devices with high priority traffic while satisfying the load balancing between Base stations (BS).
机译:机器对机器(M2M)或机器类型通信(MTC)是新兴的5G技术之一,并且代表物联网(IoT)的关键组成部分。在M2M网络中,一个关键的挑战是克服大型MTC设备的随机访问请求所导致的过载和拥塞问题。因此,为了处理随机接入信道(RACH)过载并更好地控制接入,3GPP提出了接入等级禁止(ACB)方法。在本文中,我们根据负载均衡机制和动态ACB因子,根据M2M流量类别关于其访问延迟的观点,提出了一种改进此方法的算法。仿真结果测试了我们提出的机制的有效性,结果表明,使用基站选择方法并考虑差异化的M2M服务可以增加访问成功概率并减少访问延迟,特别是对于优先级较高的流量的设备,同时又要满足负载平衡基站(BS)之间。

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