Brown, Jason and Khan, Jamil (2015) A predictive resource allocation algorithm in the LTE uplink for event based M2M applications. IEEE Transactions on Mobile Computing, 14 (12). pp. 2433-2446. ISSN 1536-1233
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Abstract
Some M2M applications such as event monitoring involve a group of devices in a vicinity that act in a co-ordinated manner. An LTE network can exploit the correlated traffic characteristics of such devices by proactively assigning resources to devices based upon the activity of neighboring devices in the same group. This can reduce latency compared to waiting for each device in the group to request resources reactively per the standard LTE protocol. In this paper, we specify a new low complexity predictive resource allocation algorithm, known as the one way algorithm, for use with delay sensitive event based M2M applications in the LTE uplink. This algorithm requires minimal incremental processing power and memory resources at the eNodeB, yet can reduce the mean uplink latency below the minimum possible value for a non-predictive resource allocation algorithm. We develop mathematical models for the probability of a prediction, the probability of a successful prediction, the probability of an unsuccessful prediction, resource usage/wastage probabilities and mean uplink latency. The validity of these models is demonstrated by comparison with the results from a simulation. The models can be used offline by network operators or online in real time by the eNodeB scheduler to optimize performance.
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| Item Type: | Article (Commonwealth Reporting Category C) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | © 2015 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. |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -) |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -) |
| Date Deposited: | 28 Nov 2018 03:12 |
| Last Modified: | 10 Dec 2018 04:57 |
| Uncontrolled Keywords: | LTE, M2M, predictive scheduling, proactive scheduling, OPNET |
| Fields of Research (2008): | 10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks 10 Technology > 1005 Communications Technologies > 100510 Wireless Communications |
| Socio-Economic Objectives (2008): | B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890104 Mobile Telephone Networks and Services |
| Identification Number or DOI: | https://doi.org/10.1109/TMC.2015.2398447 |
| URI: | http://eprints.usq.edu.au/id/eprint/35179 |
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