Abstract

Long-Term Evolution cellular networks are the main enabler for the massive Machine-Type Communications service and therefore must handle a large number of Machine-Type Devices (MTDs). To control the number of devices allowed to contend on the Physical Random Access Channel (PRACH), the group paging scheme that divides the MTDs into smaller groups and lets the network sequentially trigger the groups has been studied. However, as the number of PRACH preambles is limited, a group’s size must be kept relatively small compared to the MTD population. This paper exploits the possibility that a significant portion of the MTDs is also covered by densely deployed small-cells such that a Small-cell Base Station (SBS) may act as a representative for its MTDs during the preamble transmission step to reduce the load on PRACH. Once the SBS succeeds, its MTDs then contend locally to send their own signaling messages on the corresponding reserved uplink resources. Computer simulations show that the manageable group size can be significantly increased at a reasonable cost on the Physical Uplink Shared Channel. A theoretical model to quickly predict the effect of the ratio of MTDs that are under the coverage of the SBSs is also derived and verified.

Highlights

  • Fifth-generation access networks are expected to offer three major services covering a multitude of applications in both human-centric and machine-centric domains

  • The massive Machine-Type Communications service characterized by billions of ubiquitous Machine-Type Devices (MTDs), on the contrary, will be supported by the existing Long-Term Evolution (LTE) cellular networks that have matured in terms of geographical coverage and market adoption

  • The main idea of OGP is to assume that the eNB knows the exact number of MTDs N in the paged group and tries to redistribute them evenly over Imax /tRAO Random Access Opportunity (RAO) in the Paging Interval (PI) to keep the average number of MTDs newly initiating the Random Access Procedure (RAP) per RAO at an optimal level Marv

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Summary

Introduction

Fifth-generation access networks are expected to offer three major services covering a multitude of applications in both human-centric and machine-centric domains. The massive Machine-Type Communications (mMTC) service characterized by billions of ubiquitous Machine-Type Devices (MTDs), on the contrary, will be supported by the existing Long-Term Evolution (LTE) cellular networks that have matured in terms of geographical coverage and market adoption. The integration of a massive number of low-rate MTDs into LTE networks can, result in a random access overload issue described below.

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