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Dynamic scheduling algorithm for LTE uplink with smart-metering traffic

journal contribution
posted on 2017-10-01, 00:00 authored by B Amarasekara, Chathu RanaweeraChathu Ranaweera, R Evans, A Nirmalathas
Copyright © 2017 John Wiley & Sons, Ltd. Long-term evolution (LTE) is a promising last mile access candidate technology for the smart-metering communication architecture. However, when the mobile LTE network is used to support smart meters (SMs), the quality-of-service (QoS) requirements of the smart-metering traffic as well as all the other typical mobile network traffic need to be ensured. This becomes problematic when the network users generate diverse traffic types that have different QoS requirements. Therefore, in this paper, we propose a dynamic bandwidth scheduling algorithm to ensure the required QoS of various traffic types arising from both SMs and mobile users. Our proposed dynamic bandwidth allocation algorithm integrates two schedulers that are designed for periodic and emergency SM traffic situations that have different SM traffic intensities and QoS requirements. Designing of two schedulers provides the advantages of leveraging the particular traffic characteristics of these two diverse operational situations and achieving the maximum use of resources to ensure QoS requirements. In addition, to alleviate potential problems created by simultaneous emergency SM traffic, we also propose a method that deploys a random delay for SM packet transmissions. We analyse the delay and packet drop ratio of diverse traffic types when both the LTE base station scheduler and the SMs deploy our proposed methods under either periodic or emergency SM traffic conditions in the smart grid. Our results show that our proposed mechanisms are capable of satisfying the QoS requirements of both mobile users and SMs under diverse traffic conditions.

History

Journal

Transactions on Emerging Telecommunications Technologies

Volume

28

Issue

10

Pagination

1 - 13

Publisher

Wiley

Location

London, Eng.

ISSN

2161-3915

eISSN

2161-3915

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

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