SJIF: 6.217, IJIFACTOR: 3.8, RANKING: A+

Read More.

Call for Paper - January – 2026 Edition   

SJIF: 6.217, IJIFACTOR: 3.8, RANKING: A+

IJATCA solicits original research papers for the January – 2026 Edition.
Last date of manuscript submission is January 30, 2026.

Device to Device Communication


Volume: 1 Issue: 2
Year of Publication: 2020
Pages: (18-21)
Authors: Sumit Sarkar, Ridwan Gupta




Abstract

As in a cellular network we know that there is one way of capacity that helps to communication between near located devices when they communicate with each other although sharing information or details between both devices with the help of core and radio network, where the network will only assign in communication mode. As there are now many generations of cellular communications introduced to the technology like 1G, 2G, 3G, 4G and now there is another generation included 5G. As in 1st to 3rd generation (1G2G3G) all the specifications of communications were same but the speed of network and data had increased but in 4th generation (4G) the specifications changed into a better level of communication and the data speed increased to 5 MB/s and now we are hoping some more advanced features in 5th generation (5G) so that there are some network error that have been issued in 4th generation (4G) and we hope that it will be resolved in 5th generation (5G). And due to this there are billions of devices connected in future. So, we can assume that there are large numbers of connections which are expected to be mixed in the nature, demanding some higher rates of data, decrease the time of delays, enhancing the capacity of the systems. So, the spectrum resources that will be available are limited and need to adapt to different circumstances that are used in mobile network operators that always help in rising demands.

References

  1. “Cisco visual networking index: Forecast and Methodology, 2016 - 2021.Cisco,”Jun.2017.

  2. L. Militano, G. Araniti, M. Condoluci, I. Farris, and A. Iera, “Device-to-device communications for 5G internet of things,” EAI Endorsed Trans. Internet Things, Vol. 15, no. 1, pp. 1–15, 2015.

  3. O. Bello and S. Zeadally, “Intelligent device-to-device communication in the internet of things,” IEEE Systems J., Vol. 10, no. 3, pp. 1172–82, Sep. 2016. doi: 10.1109/JSYST.2014.2298837 [Crossref], [Web of Science ®], [Google Scholar]

  4. O. Bello, S. Zeadally, and M. Badra, “Network layer inter-operation of Device-to-Device communication technologies in Internet of Things (IoT)”, Ad Hoc Netw., Vol. 57, pp. 52–2, Mar.2017.doi:10.1016/j.adhoc.2016.06.010 [Crossref], [Web of Science ®], [Google Scholar]

  5. K. David, D. Dixit, and N. Jefferies, “2020 vision,” IEEE Veh. Technol. Mag., Vol. 5, no. 3, pp. 22–9, Sep. 2010. doi: 10.1109/MVT.2010.938595 [Crossref], [Google Scholar]

  6. X. Lin, J. G. Andrews, A. Ghosh, and R. Ratasuk, “An overview of 3gpp device-to-device proximity services,” IEEE Commun. Mag., Vol. 52, no. 4, pp. 40–8, Apr. 2014. doi: 10.1109/MCOM.2014.6807945 [Crossref], [Web of Science ®], [Google Scholar]

  7. Y. Zhang, W. Wang, N. Wu, and C. Qian, “IoT-Enabled Real-Time Production Performance Analysis and Exception Diagnosis Model,” IEEE Trans. Autom. Sci. Eng., Vol. 13, no. 3, pp.1318-32, Jul.2016.doi:10.1109/TASE.2015.2497800 [Crossref], [Web of Science ®], [Google Scholar]

  8. Y. Zhang, G. Zhang, Y. Liu, and D. Hu, “Research on services encapsulation and virtualization access model of machine for cloud manufacturing” J. Intell. Manuf., Vol. 28, no. 5, pp. 1109–23, Jun. 2017. doi: 10.1007/s10845-015-1064-2 [Crossref], [Web of Science ®], [Google Scholar]

  9. Y. Zhang, S. Ren, Y. Liu, and S. Si, “A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products” J. Clean. Prod., Vol. 142, no. 2, pp. 626–41, Jan. 2017. doi: 10.1016/j.jclepro.2016.07.123 [Crossref], [Google Scholar]

Keywords

Device, IOT, Communication, Mutation, Genetic Algorithm.