集群无线机对机网络的随机访问设计

Sen-Hung Wang, Hsuan-Jung Su, Hung-Yun Hsieh, Shu-ping Yeh, M. Ho
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引用次数: 42

摘要

在本文中,我们考虑了基础设施模式的无线机器对机器(M2M)网络,如LTE-Advanced中的机器型通信(MTC),其中可能有成千上万的机器在一个宏小区内,并打算访问同一个宏基站。由于大多数M2M通信都是低占空比的,而且机器通信通常是突发的,因此M2M通信的瓶颈通常在随机接入阶段。在LTE-Advanced中,针对MTC的随机接入,提出了ACB (access class blocking)和EAB (extended access blocking)。对于一次性随机访问尝试,对应于极低占空比场景,网络在下一次流量爆发之前有足够的时间来解决随机访问冲突,如果机器能够容忍长访问延迟,则ACB和EAB已被证明是足够的。然而,当机器流量是高占空比的周期性流量时,ACB和EAB将无法在下一波流量到来之前解决冲突。为了在有限的随机接入资源下容纳M2M流量并减少随机接入延迟,考虑了一种集群网络结构,该结构将宏单元中的机器划分为集群,集群中的机器与集群头通信,集群头将流量聚合并中继到宏基站。这种集群M2M网络在空间上重用了随机访问资源。因此,它可以增加网络支持的机器数量和/或为传统(人类)设备保留更多的随机访问资源,使其服务质量不会受到M2M通信的太大影响。分析表明,集群间随机存取资源的充分重用是可行的。此外,通过仿真研究了聚类网络的随机访问性能,确定了在给定机器总数的情况下,应形成的簇数和分配给机器的随机访问序数。
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Random access design for clustered wireless machine to machine networks
In this paper, we consider the infrastructure mode wireless machine-to-machine (M2M) network, such as the machine-type communication (MTC) in the LTE-Advanced, where there could be tens of thousands of machines within a macro cell and intending to access the same macro base station. Since most of the M2M communications are of low duty cycle and the machine traffic is usually bursty, the bottleneck for M2M communications is usually at the random access stage. In the LTE-Advanced, the access class barring (ACB) and extended access barring (EAB) have been proposed for the random access of MTC. For the one-shot random access attempts which correspond to the extremely low-duty-cycle scenarios where the network has enough time before the next traffic burst to resolve random access collisions, ACB and EAB have been shown to be sufficient if the machines can tolerate long access delay. However, when the machine traffic is recurrent with higher duty cycle, the ACB and EAB will fail to resolve collisions before the next wave of traffic comes in. To accommodate the M2M traffic and reduce the random access delay under limited random access resource, a clustered network structure is considered for which the machines in a macro cell are divided into clusters, and the machines belonging to a cluster communicate to the cluster head which then aggregates the traffic and relays to the macro base station. This clustered M2M network spatially reuses the random access resource. Thus it can increase the number of machines supported by the network and/or reserve more random access resource for the conventional (human) devices such that their qualities of service will not be affected too much by the M2M communications. Our analysis shows that full reuse of the random access resource among the clusters is feasible. In addition, simulations are conducted to study the random access performance of the clustered network, and to determine the number of clusters that should be formed and the number random access preambles that should be allocated to the machines when the total number of machines is given.
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