Map-Assisted Outdoor Localization of Wall-Mounted MMWave Base Stations for NLoS Coverage

Millimeter-wave (mmWave) technology is integral to sixth-generation (6G) communication networks due to its high data rates and bandwidth. However, signal degradation in Non-Line-of-Sight (NLoS) regions, particularly in urban environments, presents significant challenges. This paper proposes a map-assisted approach for optimal placement of wall-mounted mmWave base stations (wBSs) to extend coverage in shadowed NLoS areas. Using computational geometry and ray-tracing, we identify NLoS regions and formulate a low-complexity set-cover algorithm to determine minimal wBS deployment. Our results demonstrate improved coverage and signal strength in NLoS regions, validated by ray-tracing simulations. This method supports cost-effective planning for 6G mmWave networks.

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Published
2025-01-10
DOI
https://doi.org/10.1109/ccnc54725.2025.10976183
Citations
1
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.73
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article

Map-Assisted Outdoor Localization of Wall-Mounted MMWave Base Stations for NLoS Coverage

Kuldeep Sharma, N Prashant, Shubhi Ojha, Purnima Lala Mehta et al.
1 citations
Indoor and Outdoor Localization Technologies
0.73
article

Map-Assisted Outdoor Localization of Wall-Mounted MMWave Base Stations for NLoS Coverage

Kuldeep Sharma, N Prashant, Shubhi Ojha, Purnima Lala Mehta, Satya Kumar Vankayala, Seungil Yoon, Sudheer Kumar H U
article en
1 citations

Abstract

Millimeter-wave (mmWave) technology is integral to sixth-generation (6G) communication networks due to its high data rates and bandwidth. However, signal degradation in Non-Line-of-Sight (NLoS) regions, particularly in urban environments, presents significant challenges. This paper proposes a map-assisted approach for optimal placement of wall-mounted mmWave base stations (wBSs) to extend coverage in shadowed NLoS areas. Using computational geometry and ray-tracing, we identify NLoS regions and formulate a low-complexity set-cover algorithm to determine minimal wBS deployment. Our results demonstrate improved coverage and signal strength in NLoS regions, validated by ray-tracing simulations. This method supports cost-effective planning for 6G mmWave networks.

Samsung (South Korea) (KR), Samsung (India) (IN)
Openalex Percentile: Top 29%
Indoor and Outdoor Localization Technologies
0.73
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Map-Assisted Outdoor Localization of Wall-Mounted MMWave Base Stations for NLoS Coverage — Kuldeep Sharma, N Prashant, et al. · (2025) | TGRS Research Map | TGRS