Exploiting Social Relationships for Trustworthy D2D Relay in 5G Cellular Networks

Navrati Saxena, Farooque Hassan Kumbhar, Abhishek Roy

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

The rapid growth of IoT is expected to offer a better quality of life and open up new business applications. However, the huge number of IoT devices are likely to create an immense burden on current wireless networks. Interestingly, next-generation 5G wireless networks envision the usage of mmWave frequencies for a manifold increase in data rates and user capacity. Nevertheless, the inherent LoS in mmWave communications raises significant new challenges in providing seamless coverage across the dense 5G networks. Emerging D2D communications are expected to offer a viable solution for this LoS challenge by providing relay services and extending the coverage. An NLoS device can use direct D2D communications for transmitting the data by using other LoS devices. The selection of relay requires maintaining a certain level of trust and privacy of the content. In this article, we explain that similar to human SN, personal trust among devices can be efficiently used to develop trustworthiness in D2D relay communications. By introducing a new distributed architecture for social relationships in D2D communications, we discuss and analyze new methods for a dynamic social relationship and trust management mechanism. Efficient and trustworthy social D2D relay networks significantly improve the capacity of mmWave 5G wireless networks. Simulation experiments corroborate our improvement in IoT device capacity and throughput. We also present coexistence of the proposed scheme with the existing state-of-the-art relay selection schemes.

Original languageEnglish
Article number8999427
Pages (from-to)48-53
Number of pages6
JournalIEEE Communications Magazine
Volume58
Issue number2
DOIs
StatePublished - Feb 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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