Predictive resource allocation in the LTE uplink for event based M2M applications

Paper


Brown, Jason and Khan, Jamil. 2013. "Predictive resource allocation in the LTE uplink for event based M2M applications." Kim, Dong-In and Mueller, Peter (ed.) IEEE International Conference on Communications (ICC 2013): Bridging the Broadband Divide. Budapest, Hungary 09 - 13 Jun 2013 Piscataway, NJ. United States. https://doi.org/10.1109/ICCW.2013.6649208
Paper/Presentation Title

Predictive resource allocation in the LTE uplink for event based M2M applications

Presentation TypePaper
AuthorsBrown, Jason (Author) and Khan, Jamil (Author)
EditorsKim, Dong-In and Mueller, Peter
Journal or Proceedings TitleProceedings of the 2013 IEEE International Conference on Communications (ICC 2013)
Number of Pages6
Year2013
Place of PublicationPiscataway, NJ. United States
ISBN9781467331227
9781467357531
Digital Object Identifier (DOI)https://doi.org/10.1109/ICCW.2013.6649208
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/6649208
Conference/EventIEEE International Conference on Communications (ICC 2013): Bridging the Broadband Divide
Event Details
IEEE International Conference on Communications (ICC 2013): Bridging the Broadband Divide
Event Date
09 to end of 13 Jun 2013
Event Location
Budapest, Hungary
Abstract

For certain event based M2M applications, it is possible to predict when devices will or may need to send data on the LTE uplink. For example, in a wireless sensor network, the fact that one sensor has triggered may increase the probability that other sensors in the vicinity may also trigger in quick succession. The existing reactive LTE uplink access protocol, in which a device with pending data sends a scheduling request to the eNodeB at its next scheduled opportunity, and the eNodeB responds with an uplink grant, can lead to high latencies. This is particularly the case when the system utilizes a high scheduling request period (of up to 80ms) to support a large number of devices in a cell, which is characteristic of M2M deployments. In this paper, we introduce, analyze and simulate a new predictive/proactive resource allocation scheme for the LTE uplink for use with event based M2M applications. In this scheme, when one device in a group sends a scheduling request, the eNodeB identifies neighbor devices in the same group which may benefit from a predictive resource allocation in lieu of waiting for those neighbors to send a scheduling request at their next scheduled opportunity. We demonstrate how the minimum uplink latency can be reduced from 6ms to 5ms and how the mean uplink latency can be reduced by greater than 50% (in certain scenarios) using this method.

KeywordsLTE, M2M, predictive scheduling, proactive scheduling, OPNET
ANZSRC Field of Research 2020400604. Network engineering
400608. Wireless communication systems and technologies (incl. microwave and millimetrewave)
Public Notes

© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Byline AffiliationsUniversity of Newcastle
Institution of OriginUniversity of Southern Queensland
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