Outage Probability of Opportunistic Self-Backhauled Millimeter Wave Mobile Networks

Behrouz Maham

doi:10.1109/VTC2022-Spring54318.2022.9860393

Outage Probability of Opportunistic Self-Backhauled Millimeter Wave Mobile Networks

Behrouz Maham

Nazarbayev University

Electrical and Computer Engineering Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we consider a downlink self-backhauled mmWave cellular system with opportunistic selection of associated small cells, controlled by a centralized anchor base station (A-BS). We assume both backhaul and access links are modeled as Nakagami-m channels concatenate with random binary blockages. We analyze the system performance by deriving the equivalent end-to-end channel distributions. Then, the derived cumulative distribution function is used to calculate the outage probability. Finally, the simulation results show the impact of different parameters and correctness of our analytical results. It is also shown that our proposed scheme outperforms maximum ratio combining detection, in which all associated self-backhaled BSs are retransmitting the decoded user message toward the typical user equipment.

Original language	English
Title of host publication	2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665482431
DOIs	https://doi.org/10.1109/VTC2022-Spring54318.2022.9860393
Publication status	Published - 2022
Event	95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring - Helsinki, Finland Duration: Jun 19 2022 → Jun 22 2022

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2022-June
ISSN (Print)	1550-2252

Conference

Conference	95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
Country/Territory	Finland
City	Helsinki
Period	6/19/22 → 6/22/22

Funding

This research was supported by the Faculty Development Competitive Research Grant (No. 240919FD3918), Nazarbayev University.

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VTC2022-Spring54318.2022.9860393

Cite this

Outage Probability of Opportunistic Self-Backhauled Millimeter Wave Mobile Networks. / Maham, Behrouz.
2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (IEEE Vehicular Technology Conference; Vol. 2022-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Maham, B 2022, Outage Probability of Opportunistic Self-Backhauled Millimeter Wave Mobile Networks. in 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings. IEEE Vehicular Technology Conference, vol. 2022-June, Institute of Electrical and Electronics Engineers Inc., 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring, Helsinki, Finland, 6/19/22. https://doi.org/10.1109/VTC2022-Spring54318.2022.9860393

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note = "Funding Information: This research was supported by the Faculty Development Competitive Research Grant (No. 240919FD3918), Nazarbayev University. Publisher Copyright: {\textcopyright} 2022 IEEE.; 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring ; Conference date: 19-06-2022 Through 22-06-2022",

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Outage Probability of Opportunistic Self-Backhauled Millimeter Wave Mobile Networks

Abstract

Publication series

Conference

Funding

ASJC Scopus subject areas

Access to Document

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