Cell Site Densification Using mmWave and Sub-THz Line-of-Sight Wireless Fronthaul: A Deployment Feasibility Study

This article presents a mobile network deployment analysis aimed at understanding the use of high-frequency wireless fronthaul links to realize dense cell network architectures. A high-resolution digital twin model is built based on real-world datasets to identify line-of-sight (LoS) propagation paths between existing macrocell rooftop sites and lamp post infrastructure locations suitable for new street-level cell sites. The resulting LoS path topology is used to simulate wireless fronthaul links based on industry-standardized fronthaul interfaces across the urban environment. In considering the stringent fronthaul interface requirements for a representative 5G radio configuration, the suitability of emerging mmWave and sub-THz transport bands between 71.124 and 174.8 GHz to fulfill the wireless fronthaul-centralized RAN (C-RAN) deployment is analyzed. Findings in this work have demonstrated that with the right combination of fronthaul interface and spectrum band up to 73% of new street-level cell sites in a dense deployment could be built using a wireless fronthaul transport solution.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2024-10-02
DOI
https://doi.org/10.1109/tap.2024.3468454
Citations
4
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
0.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cell Site Densification Using mmWave and Sub-THz Line-of-Sight Wireless Fronthaul: A Deployment Feasibility Study

Anvar Tukmanov, Andy Sutton, Stuart D. Walker, Dave Townend
4 citations
IEEE Transactions on Antennas and Propagation
Millimeter-Wave Propagation and Modeling
0.83
article

Cell Site Densification Using mmWave and Sub-THz Line-of-Sight Wireless Fronthaul: A Deployment Feasibility Study

Anvar Tukmanov, Andy Sutton, Stuart D. Walker, Dave Townend
article en
4 citations

Abstract

This article presents a mobile network deployment analysis aimed at understanding the use of high-frequency wireless fronthaul links to realize dense cell network architectures. A high-resolution digital twin model is built based on real-world datasets to identify line-of-sight (LoS) propagation paths between existing macrocell rooftop sites and lamp post infrastructure locations suitable for new street-level cell sites. The resulting LoS path topology is used to simulate wireless fronthaul links based on industry-standardized fronthaul interfaces across the urban environment. In considering the stringent fronthaul interface requirements for a representative 5G radio configuration, the suitability of emerging mmWave and sub-THz transport bands between 71.124 and 174.8 GHz to fulfill the wireless fronthaul-centralized RAN (C-RAN) deployment is analyzed. Findings in this work have demonstrated that with the right combination of fronthaul interface and spectrum band up to 73% of new street-level cell sites in a dense deployment could be built using a wireless fronthaul transport solution.

IEEE Transactions on Antennas and PropagationVol. 72(12)
University of Essex (GB), BT Research (GB), BTG International (United Kingdom) (GB)
Climate action
Openalex Percentile: Top 27%
Millimeter-Wave Propagation and Modeling
0.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cell Site Densification Using mmWave and Sub-THz Line-of-Sight Wireless Fronthaul: A Deployment Feasibility Study — Anvar Tukmanov, Andy Sutton, et al. · IEEE Transactions on Antennas and Propagation (2024) | TGRS Research Map | TGRS