JOURNAL ARTICLE

Outage probability of multihop free space optical communications over nakagami fading channels

Abstract

In this paper, the end-to-end outage probability of a multihop free space optical (FSO) communication system over N independent Nakagami fading relay channels are analyzed. We assume that the channel state information-based relays have the knowledge of the channel states in the preceding hops. The Laplace transform of the inverse end-to-end signal-to-noise ratio (SNR) is derived in a closed form. Based on this expression, the outage probability involving N statistically independent, but not necessarily identically distributed (i.n.i.d) Nakagami relay channels is evaluated numerically via the inverse Laplace transform. The results indicate that the outage probability improves as N decreases and/or the arbitrary fading parameter m increases. This is because the probability that any of the cascaded fading channels is in deep fade decreases significantly. Therefore, the smaller N and/or larger m, the better the multihop relay channel.

Keywords:
Fading Nakagami distribution Relay Channel state information Channel (broadcasting) Independent and identically distributed random variables Topology (electrical circuits) Fading distribution Computer science Relay channel Maximal-ratio combining Signal-to-noise ratio (imaging) Outage probability Laplace transform Mathematics Telecommunications Algorithm Statistics Physics Wireless Random variable Rayleigh fading Mathematical analysis Combinatorics

Metrics

6
Cited By
0.41
FWCI (Field Weighted Citation Impact)
17
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Optical Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Photonic Communication Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.