TY - GEN
T1 - Base Station Deployment Strategy Using Lunar Surface Terrain-Aware Field Strength Prediction
AU - Ke, Yixin
AU - Gu, Shushi
AU - Wu, Yaonan
AU - Lin, Yuanjian
AU - Zhang, Zhikai
AU - Zhang, Qinyu
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - With the rapid expansion of lunar exploration programs worldwide, developing terrain-aware communication systems has become a pressing technical challenge. This paper introduces a novel field strength prediction model (FSPM) for lunar communication base station (BS) deployment, adapting ITU-R P. 526 to account for the unique lunar surface terrain characteristics. The radio propagation modeling integrates free space loss, multipath loss, and diffraction loss, with specific considerations for the type and number of obstacles. Leveraging the Digital Elevation Model (DEM) data within a radius of 4 km near the lunar south pole and the Apollo 15 landing site, we propose a genetic algorithm to optimize the BS positions for maximum coverage rate using different mobile communication protocols. The experimental evaluation indicates that, at the lunar south pole, LTE protocol can achieve 96.87% coverage with 4 BSs, while 5G NR protocol can achieve 93.60% coverage with 5 BSs. By contrast, at the Apollo 15 landing site, the coverage rates are 99.22% with 3 BSs for LTE, and 99.17% with 4 BSs for 5G NR, respectively. These results can provide significant insights for the future lunar surface communication network construction.
AB - With the rapid expansion of lunar exploration programs worldwide, developing terrain-aware communication systems has become a pressing technical challenge. This paper introduces a novel field strength prediction model (FSPM) for lunar communication base station (BS) deployment, adapting ITU-R P. 526 to account for the unique lunar surface terrain characteristics. The radio propagation modeling integrates free space loss, multipath loss, and diffraction loss, with specific considerations for the type and number of obstacles. Leveraging the Digital Elevation Model (DEM) data within a radius of 4 km near the lunar south pole and the Apollo 15 landing site, we propose a genetic algorithm to optimize the BS positions for maximum coverage rate using different mobile communication protocols. The experimental evaluation indicates that, at the lunar south pole, LTE protocol can achieve 96.87% coverage with 4 BSs, while 5G NR protocol can achieve 93.60% coverage with 5 BSs. By contrast, at the Apollo 15 landing site, the coverage rates are 99.22% with 3 BSs for LTE, and 99.17% with 4 BSs for 5G NR, respectively. These results can provide significant insights for the future lunar surface communication network construction.
KW - Lunar surface communication
KW - base station deployment
KW - coverage rate
KW - field strength prediction
KW - path loss
UR - https://www.scopus.com/pages/publications/105017553130
U2 - 10.1109/ICCC65529.2025.11148611
DO - 10.1109/ICCC65529.2025.11148611
M3 - 会议稿件
AN - SCOPUS:105017553130
T3 - 2025 IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC 2025
BT - 2025 IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE/CIC International Conference on Communications in China, ICCC 2025
Y2 - 10 August 2025 through 13 August 2025
ER -