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Performance Analysis for Multi-Hop Full-Duplex IoT Networks Subject to Poisson Distributed Interferers

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journal contribution
posted on 28.02.2019, 15:22 by G Chen, JP Coon, A Mondal, B Allen, JA Chambers
Multi-hop relaying is a fundamental technology that will enable connectivity in large-scale networks such as those encounted in IoT applications. However, the end-to-end transmission rate decreases dramatically as the number of hops increases when half-duplex (HD) relaying is employed. In this paper, we investigate the outage probability and symbol-error rate for both HD and full-duplex (FD) transmission schemes in multi-hop networks subject to interference from randomly distributed third-party devices. We model the locations of the interfering devices as a Poisson point process. We derive a closed-form expression for the outage probability and approximations for the symbol-error rate for HD and FD transmissions employing BPSK and QPSK. The symbol-error rate results are obtained by using a Markov chain model for the multi-hop decode-and-forward links. This model accurately accounts for the nonlinear dynamical nature of the network, whereby erroneous symbol decoding can be “corrected” by a second erroneous decoding operation later in the network. We verify the analytical results through simulations and show the HD and FD schemes can be utilized to reduce the error-rate and outage probability of the system according to different residual self-interference levels and interferer densities. The results provide clear guidelines for implementing HD and FD in multi-hop networks.

History

Citation

IEEE Internet of Things Journal, 2018, in press

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering

Version

VoR (Version of Record)

Published in

IEEE Internet of Things Journal

Publisher

Institute of Electrical and Electronics Engineers

eissn

2327-4662

Copyright date

2018

Available date

28/02/2019

Publisher version

https://ieeexplore.ieee.org/document/8567943

Language

en

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