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Overload control of massive random access for machine-type communications

机译:大规模随机访问的过载控制,用于机器类型的通信

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摘要

Traditional cellular systems may not be appropriate to support machine-type communications (MTC) due to a large number of devices and relatively small, infrequent data transmissions. The 3GPP has identified the MTC as an important area of the LTE system and has discussed several mechanisms that control random access (RA) overload caused by massive MTC devices. In this paper, we show that a retransmission mechanism of RA may lead to performance degradation in an overload situation, and propose two RA solutions that relieve the RA overload. Since the RA success probability is closely related with the number of simultaneous RA attempts, the first solution adjusts the maximum number of RA retransmissions to control the amount of RA attempts. The second solution separates the RA resources into two subsets that MTC devices can access according to the number of consecutive RA failures and distributes the RA traffic over the two subsets. The two proposed solutions are analyzed by a mathematical model assuming a simplified operation, and a more realistic environment is considered by protocol-level simulations. Since the performance of the proposed solutions depends on the system configurations and parameters, the base station may adaptively adjust them for an optimal operation. (C) 2017 Elsevier Ltd. All rights reserved.
机译:由于大量的设备和相对较小的,不频繁的数据传输,传统的蜂窝系统可能不适合支持机器类型的通信(MTC)。 3GPP已经将MTC确定为LTE系统的重要领域,并讨论了几种控制由大型MTC设备引起的随机接入(RA)过载的机制。在本文中,我们证明了RA的重传机制可能会在过载情况下导致性能下降,并提出了两种缓解RA过载的RA解决方案。由于RA成功概率与同时RA尝试次数密切相关,因此第一种解决方案调整RA重传的最大次数以控制RA尝试次数。第二种解决方案根据连续RA故障的数量将RA资源分为两个MTC设备可以访问的子集,并将RA流量分布在这两个子集上。所提出的两个解决方案通过假设简化操作的数学模型进行了分析,并且通过协议级仿真考虑了更现实的环境。由于提出的解决方案的性能取决于系统配置和参数,因此基站可以自适应地调整它们以实现最佳操作。 (C)2017 Elsevier Ltd.保留所有权利。

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