A Deep Learning Based Social-aware D2D Peer Discovery Mechanism

Yu Long, Ryo Yamamoto, Taku Yamazaki, Yoshiaki Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


With the demand for rapid exchanges of information, device to device (D2D) communications become one of the essential components of next-generation network architecture. To realize efficient D2D communication, peer discovery plays an important role since the discovery result strongly affects further performance. Most of the researches on peer discovery in D2D communication are based on discovering proximity devices to recognize nearby destination devices. In particular, some researches focus on time slot distribution to broadcast address information for discovering proximity devices. Moreover, other researches pay attention to user grouping with different beacon probing signals. However, these peer discovery mechanisms do not consider the risks that source devices may encounter malicious devices in real situations. As a solution to this, this paper proposes a peer discovery mechanism which applies the social network relationship information to exclude malicious devices. The proposed mechanism contributes to decrease the probability of encountering malicious devices and enhances the efficiency of peer discovery by excluding malicious devices. Simulations clarify that the base station (BS) extracts trusted candidates among devices to quantify the trust degree of devices based on the potential social information.

Original languageEnglish
Title of host publication21st International Conference on Advanced Communication Technology
Subtitle of host publicationICT for 4th Industrial Revolution!, ICACT 2019 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9791188428021
Publication statusPublished - 2019 Apr 29
Event21st International Conference on Advanced Communication Technology, ICACT 2019 - Pyeongchang, Korea, Republic of
Duration: 2019 Feb 172019 Feb 20

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
ISSN (Print)1738-9445


Conference21st International Conference on Advanced Communication Technology, ICACT 2019
Country/TerritoryKorea, Republic of


  • D2D communication
  • deep neural network
  • malicious device
  • peer discovery
  • social network information

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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