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

Brown, Jason and Khan, Jamil (2013) Predictive resource allocation in the LTE uplink for event based M2M applications. In: IEEE International Conference on Communications (ICC 2013): Bridging the Broadband Divide, 9-13 Jun 2013, Budapest, Hungary.

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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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2013 IEEE. Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: No Faculty
Date Deposited: 04 Dec 2018 05:44
Last Modified: 04 Dec 2018 05:44
Uncontrolled Keywords: LTE, M2M, predictive scheduling, proactive scheduling, OPNET
Fields of Research : 10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks
10 Technology > 1005 Communications Technologies > 100510 Wireless Communications
Socio-Economic Objective: 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: 10.1109/ICCW.2013.6649208
URI: http://eprints.usq.edu.au/id/eprint/35200

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