Coverage Enhancement for Cellular Internet of Things Based on D2D Multicasting

  • Jinsuo Liu
  • Daohua ZhuEmail author
  • Jingzhi Xue
  • Tao Ma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)


Cellular Internet of Things (cIoT), which will create a huge network of billions or trillions of Things communicating with one another, are facing many technical and application challenges. In particular, in this paper, we have proposed a mechanism based on D2D multicast group communication. The goal of us is to enhance the coverage ability of the cellular network system which is used in IoT. Firstly, we propose a D2D clustering algorithm with the consideration of energy consumption and the outage of the system. Secondly, we want to improve the throughput of the whole system. We decomposed this optimization problem into two sub problems: power control and channel assignment. Referring to the Genetic Algorithm, we get the optimal transmit power of the whole devices. Then, we use the Greedy Algorithm to obtain the perfect channel allocation. Finally, the simulation results demonstrated the efficiency of the communication mechanism proposed by us.


Coverage enhancement Cellular Internet of Things D2D multicasting Genetic algorithm 



This study is supported by 2017 state grid science and technology project “Research and Application for Adaption of Power Business based on LTE Wireless Private Network”.


  1. 1.
    Gu, J., Bae, S.J., Min, Y.C.: Dynamic power control mechanism for interference coordination of device-to-device communication in cellular networks. In: Third International Conference on Ubiquitous and Future Network, pp. 71–75 (2011)Google Scholar
  2. 2.
    Lehtomaki, J., Suliman, I., Umebayashi, K., Suzuki, Y.: Teletraffic analysis of direct communication with clustering. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. E92-A(5), 1356–1362 (2009)CrossRefGoogle Scholar
  3. 3.
    Narottama, B., Fahmi, A., Syihabuddin, B., Isa, A.J.: Cluster head rotation: a proposed method for energy efficiency in D2D communication. In: 2015 IEEE International Conference on Communication, Networks and Satellite, pp. 89–90. IEEE (2015)Google Scholar
  4. 4.
    Yaacoub, E., Ghazzai, H.: Achieving energy efficiency in LTE with joint D2D communications and green networking techniques. In: Wireless Communications and Mobile Computing Conference. IEEE (2013)Google Scholar
  5. 5.
    Yaacoub, E., Kubbar, O.: Energy-efficient device-to device communications in LTE public safety networks. In: International Workshop on Green Internet of Things, Anaheim, CA, USA (2012)Google Scholar
  6. 6.
    Narottama, B., Fahmi, A., Syihabuddin, B.: Impact of number of devices and data rate variation in clustering method on device-to-device communication. In: IEEE Asia Pacific Conference on Wireless and Mobile, Bandung (2015)Google Scholar
  7. 7.
    Koskela, T., Hakola, S., Chen, T., LehtomäKi, J.: Clustering concept using Device-to-Device communication in cellular system. In: Wireless Communications and Networking Conference, Sydney, NSW Australia, vol. 29, no. 16, pp. 1–6 (2010)Google Scholar
  8. 8.
    Eddine, K.T.: A new multilevel inverter with genetic algorithm optimization for hybrid power station application. Optimization and Applications, IEEE (2018)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Nari Group CorporationNanjingChina
  2. 2.Electric Power Research Institute, State Grid Jiangsu Electric Power Company, Ltd.NanjingChina

Personalised recommendations