Autonomous peer discovery scheme for D2D communications based on spatial correlation of wireless channel

Woongsup Lee, Juyeop Kim, Dong Ho Cho

Research output: Contribution to journalArticlepeer-review


We herein describe an autonomous peer discovery scheme for Device-to-Device (D2D) communications. With the increasing popularity of D2D communications, an efficient means of finding the neighboring node, i.e., peer discovery, is required. To this end, we propose a new autonomous peer discovery scheme that uses azimuth spread (AS), delay spread (DS), and shadow fading of the uplink pilot from each mobile station (MS). Given that AS, DS, and shadow fading are spatially correlated, nodes that have similar values must be neighbors. The proposed scheme filters out the MSs that are unlikely to be neighbors and uses the Kolmogorov-Smirnov (K-S) test to improve the accuracy of neighbor discovery. Unlike previous peer discovery schemes that incur additional signaling overheads, our proposal finds neighboring nodes by using the existing uplink pilot transmission from MSs such that neighboring peers can be found autonomously. Through analysis and simulation, we show that neighboring MSs can be found accurately with low latency.

Original languageEnglish
Pages (from-to)224-231
Number of pages8
JournalIEICE Transactions on Communications
Issue number1
Publication statusPublished - 2016 Jan

Bibliographical note

Funding Information:
This work was partly supported by the ICT R&D program of MSIP/IITP [1491104001, Development of PS-LTE System and Terminal for National Public Safety Service], the MSIP (Ministry of Science, ICT & Future Planning), Korea in the ICT R&D Program 2013 and "Cooperative Research Program for Agriculture Science & Technology Development (Project title: Development of swine management model with animal-metric for livestock welfare, Project No. PJ0105412015)" Rural Development Administration, Republic of Korea.

Publisher Copyright:
Copyright © 2016 The Institute of Electronics, Information and Communication Engineers.

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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