Performance Analysis and Optimization of Millimeter Wave Networks with Dual-Hop Relaying

Ali Chelli, Kimmo Kansanen, Ilangko Balasingham, Mohamed Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


In this paper, we use dual-hop relaying to overcome the signal blockage problem that occurs for millimeter waves (mmWaves) due to obstacles located in the propagation environment. Using device-to-device communication, a device in the neighborhood of the transmitter and the receiver can play the role of a relay by amplifying the signal from the source device and forwarding it to the destination device. We consider that both the relay and the destination devices are subject to interference. We study the performance of this mmWave network and derive an exact and asymptotic expressions for the bit error probability (BEP). The exact BEP expression is validated by Monte Carlo simulations. The asymptotic BEP allows determining the diversity order and the coding gain of the communication system. Additionally, we investigate the power allocation optimization subject to a power constraint and derive an analytical expression for the optimal power. Numerical results illustrate the gain achieved in terms of BEP thanks to optimal power allocation.

Original languageEnglish (US)
Title of host publication2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509059324
StatePublished - Nov 14 2017
Event85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
Duration: Jun 4 2017Jun 7 2017

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference85th IEEE Vehicular Technology Conference, VTC Spring 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.


  • Bit error probability
  • Device-to-device communication
  • Dual-hop relaying
  • Millimeter wave
  • Nakagami-m fading

ASJC Scopus subject areas

  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications


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