Research Article
Intelligent Access Scheme for Internet of Things Supported by 5G Wireless Network
@INPROCEEDINGS{10.1007/978-3-319-78139-6_35, author={Yingshuan Song and Heli Zhang and Xi Li and Chunsheng Zhu and Hong Ji}, title={Intelligent Access Scheme for Internet of Things Supported by 5G Wireless Network}, proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2018}, month={4}, keywords={Intelligent access scheme 5G small cell IoT K-means}, doi={10.1007/978-3-319-78139-6_35} }- Yingshuan Song
Heli Zhang
Xi Li
Chunsheng Zhu
Hong Ji
Year: 2018
Intelligent Access Scheme for Internet of Things Supported by 5G Wireless Network
CHINACOM
Springer
DOI: 10.1007/978-3-319-78139-6_35
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.
