Capacity Analysis of Device-to-Device mmWave Networks under Transceiver Distortion Noise and Imperfect CSI

Leila Tlebaldiyeva, Behrouz Maham, Theodoros A. Tsiftsis

Research output: Journal PublicationArticlepeer-review

13 Citations (Scopus)

Abstract

Device-to-device (D2D) communication is a promising paradigm for the next-generation networks that enables high speed and low latency communication without the use of base station resources. Existing works in D2D networks consider ideal transceiver electronics while evaluating the ergodic capacity of the system. This work develops a tractable analytical framework that studies ergodic capacity for the overlay analog beamformed D2D assisted 5G millimeter wave network under transceiver distortion noise, imperfect channel state information and interference from neighboring device nodes. Moreover, closed-form expressions for the exact, upper, and lower ergodic capacity bounds are derived and verified through Monte Carlo simulations. Besides, simplified ergodic capacity formulas were derived by using saddlepoint approximations of the probability density function of the summation of $M$ independent and non-identically distributed gamma random variables.

Original languageEnglish
Article number9051684
Pages (from-to)5707-5712
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume69
Issue number5
DOIs
Publication statusPublished - May 2020
Externally publishedYes

Keywords

  • Device-to-device communication (D2D)
  • ergodic capacity
  • mmWave communication
  • Nakagami-$m$ fading channel
  • transceiver hardware impairments

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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