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A clustering-based device-to-device communication to support diverse applications

Conference Paper


Abstract


  • In this paper, we address the issue of how to leverage Wi-Fi Direct (as an outband solution) to enable the Device-to- Device (D2D) communication that can Offoad massive data traffic from the LTE (Long Term Evolution)-based cellular network and support other applications. Particularly, we develop a clustering-based scheme that automatically finds the best candidates to remain connected to the LTE network while the rest of the devices can be disconnected directly from the LTE-based cellular network. By doing so, we can reduce the signal interference, increase the average throughput and spectral efficiency of the network, and also reduce unnecessary data traffic that can be transmitted locally by D2D communications instead of going through the LTE-based cellular network. Devices in established clusters can indirectly communicate with the LTE network via the cluster head, which can be dynamically selected and remains connected to the LTE network directly. Using the real-world cellular data collected from a public database related to the deployment of LTE networks, we show the effectiveness of our proposed scheme in traffic Offoading in the cellular network. We also discuss how to use our developed techniques to support Internet-of-Things (IoT) applications such as smart grid communications. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Publication Date


  • 2016

Publisher


Citation


  • Hematian, A., Yu, W., Lu, C., Griffith, D., & Golmie, N. (2016). A clustering-based device-to-device communication to support diverse applications. In Proceedings of the 2016 Research in Adaptive and Convergent Systems, RACS 2016 (pp. 97-102). doi:10.1145/2987386.2987391

Scopus Eid


  • 2-s2.0-85006817323

Web Of Science Accession Number


Start Page


  • 97

End Page


  • 102

Abstract


  • In this paper, we address the issue of how to leverage Wi-Fi Direct (as an outband solution) to enable the Device-to- Device (D2D) communication that can Offoad massive data traffic from the LTE (Long Term Evolution)-based cellular network and support other applications. Particularly, we develop a clustering-based scheme that automatically finds the best candidates to remain connected to the LTE network while the rest of the devices can be disconnected directly from the LTE-based cellular network. By doing so, we can reduce the signal interference, increase the average throughput and spectral efficiency of the network, and also reduce unnecessary data traffic that can be transmitted locally by D2D communications instead of going through the LTE-based cellular network. Devices in established clusters can indirectly communicate with the LTE network via the cluster head, which can be dynamically selected and remains connected to the LTE network directly. Using the real-world cellular data collected from a public database related to the deployment of LTE networks, we show the effectiveness of our proposed scheme in traffic Offoading in the cellular network. We also discuss how to use our developed techniques to support Internet-of-Things (IoT) applications such as smart grid communications. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Publication Date


  • 2016

Publisher


Citation


  • Hematian, A., Yu, W., Lu, C., Griffith, D., & Golmie, N. (2016). A clustering-based device-to-device communication to support diverse applications. In Proceedings of the 2016 Research in Adaptive and Convergent Systems, RACS 2016 (pp. 97-102). doi:10.1145/2987386.2987391

Scopus Eid


  • 2-s2.0-85006817323

Web Of Science Accession Number


Start Page


  • 97

End Page


  • 102