Intelligent Access Scheme for Internet of Things Supported by 5G Wireless Network

  • Yingshuan Song
  • Heli Zhang
  • Xi Li
  • Chunsheng Zhu
  • Hong Ji
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 237)

Abstract

In future Internet of things (IoT) network, some of the prime objectives or demands that need to be addressed are massive data, increased devices, decreased delay and reduced energy cost. To meet these demands, drastic improvements need to be made. This paper integrates 5G network with IoT scenario and presents a massive IoT device access scheme. In our small cell-IoT network, IoT devices share the resource block (RB) with small cell devices in an overlay way. Under this context, we formulate the access problem with the objectives of minimizing network overall energy cost and maximizing the number of accessed IoT devices. By utilizing data mining tool, the massive data generated by the small cell network and IoT devices is highly utilized and IoT devices can access to the available RBs with higher intelligence. In addition, under the support of K-means algorithm, IoT devices are classified into different clusters. We further propose a cluster access method, with which, each cluster is allocated appropriate RB. All the devices within the same cluster share the same RB in a sequence while considering RB’s vacant time. Simulation results show that our solution leads to a satisfactory outcome.

Keywords

Intelligent access scheme 5G small cell IoT K-means 

Notes

Acknowledgments

This paper is sponsored by the National Natural Science Foundation of China for the Youth (61501047) and Fundamental Research Funds for the Central Universities of China (2017RC04), and the National Science and Technology Major Project of the Ministry of Science and Technology of China (2016ZX03001017).

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Yingshuan Song
    • 1
  • Heli Zhang
    • 1
  • Xi Li
    • 1
  • Chunsheng Zhu
    • 2
  • Hong Ji
    • 1
  1. 1.Key Laboratory of Universal Wireless Communication, Ministry of EducationBeijing University of Posts and TelecommunicationsBeijingPeople’s Republic of China
  2. 2.Department of Electrical and Computer EngineeringThe University of British ColumbiaVancouverCanada

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