QoS-based LTE downlink scheduling algorithm for smart grid communication

Feifei Feng*, Fenghua Peng, Bo Yan, Shuisheng Lin, Jie Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

The core concept of Smart Grid (SG) is to enhance the level of intelligent management for power grid by the application of modern information, communication and other advanced technologies. With wide coverage, high reliability and large capacity, the Long-Term-Evolution (LTE) network is widely used in the SG wireless communication. However, SG is different from traditional cellular networks. Many kinds of equipments in the smart grid have quite different Quality of Service (QoS) requirements. Since there are some shortcomings in the existing resource allocation algorithms in LTE network, this paper aims to propose a resource scheduling algorithm, which can meet the needs of users' different QoS requirements. The simulation results show that the proposed algorithm is fit for smart grid wireless communication network and can improve the performance of high-priority users as well as realize the differentiated treatment of users.

Original languageEnglish
Title of host publication2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-552
Number of pages5
ISBN (Electronic)9781509038220
DOIs
Publication statusPublished - 19 Dec 2017
Externally publishedYes
Event9th IEEE International Conference on Communication Software and Networks, ICCSN 2017 - Guangzhou, China
Duration: 6 May 20178 May 2017

Publication series

Name2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017
Volume2017-January

Conference

Conference9th IEEE International Conference on Communication Software and Networks, ICCSN 2017
Country/TerritoryChina
CityGuangzhou
Period6/05/178/05/17

Keywords

  • LTE
  • packet scheduling
  • QoS
  • resource management
  • smart grid

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