JOURNAL ARTICLE

Coverage Analysis of Decode-and-Forward Relaying in Millimeter Wave Networks

Abstract

In this paper, we demonstrate the coverage probability improvement of a millimeter wave (mmWave) network due to the deployment of spatially random decode-and-forward (DF) relays. We assume the transmitter and receiver are located at a fixed distance and that the potential relay nodes are spatially distributed as a two dimensional homogeneous Poisson point process (PPP). We first derive the spatial distribution of decoding set of relays that meet the required signal-to-noise ratio (SNR) threshold. From this set, we select a relay that has minimum path- loss from the receiver and derive the coverage probability achievable due to this selection. The analysis is based on stochastic geometry and is verified via Monte-Carlo simulation. The coverage probabilities of (a) direct link without relaying and (b) relayed link are compared to show that relaying provides significant coverage improvements.

Keywords:
Stochastic geometry Coverage probability Relay Transmitter Computer science Poisson point process Decoding methods Path loss Signal-to-noise ratio (imaging) Point process Topology (electrical circuits) Extremely high frequency Monte Carlo method Poisson distribution Electronic engineering Algorithm Telecommunications Mathematics Statistics Physics Electrical engineering Wireless Engineering Power (physics)

Metrics

5
Cited By
0.61
FWCI (Field Weighted Citation Impact)
19
Refs
0.71
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Citation History

Topics

Millimeter-Wave Propagation and Modeling
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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