Optimal Group Paging Frequency for Machine-to-Machine Communications in LTE Networks With Contention Resolution

Wen Zhan, Xinghua Sun*, Yitong Li, Feng Tian, Hong Wang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Group paging is a baseline solution proposed by the long-term evolution (LTE) standardization body for supporting machine-to-machine (M2M) communications in the current-generation and the next-generation cellular networks. Yet, in conventional group paging scheme, upon the reception of paging message, all machine-type devices (MTDs) in a group will simultaneously access the base station, leading to severe network congestion and intolerably low access efficiency. To handle this issue, in this article, we propose a dynamic group paging mechanism, where only the MTDs with packets to send will join the contention process, and the collisions in the random access channel are addressed by the contention resolution scheme. Explicit expressions of key performance measures including the mean access delay of each MTD are derived as functions of the length of waiting period (interval between two consecutive paging periods) TW , where a smaller TW indicates a higher frequency of group paging. It is shown that TW is a key system parameter that determines the crucial tradeoff between the signaling overheads of the system during the paging period and the access delay performance of each MTD. To study how to properly tune the waiting period length, a utility-based analytical framework is established by taking the aforementioned tradeoff into consideration. The optimal waiting period length for maximizing the network utility is derived and verified by simulation results. The analysis in this article reveals that the network should increase the group paging frequency as the traffic becomes heavier or the number of preambles decreases. Providing more preambles can indeed improve the delay performance, while the gain becomes marginal if the number of preambles is large.
Original languageEnglish
Article number8825472
Pages (from-to)10534-10545
JournalIEEE Internet of Things Journal
Volume6
Issue number6
Online published5 Sept 2019
DOIs
Publication statusPublished - Dec 2019

Research Keywords

  • Contention resolution
  • group paging
  • machine-to-machine (M2M) communications
  • random access

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