LiDAR aided Wireless Networks - LoS Detection and Prediction based on Static Maps
- Resource Type
- Conference
- Authors
- Jayaweera, Nalin; Marasinghe, Dileepa; Rajatheva, Nandana; Hakola, Sami; Koskela, Timo; Tervo, Oskari; Karjalainen, Juha; Tiirola, Esa; Hulkkonen, Jari
- Source
- 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Vehicular Technology Conference (VTC2022-Fall), 2022 IEEE 96th. :1-6 Sep, 2022
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Signal Processing and Analysis
Transportation
Location awareness
Wireless sensor networks
Laser radar
Wireless networks
Scattering
Signal processing
Attenuation
LiDAR
5G
6G
vision aided communications
mmWave
THz
LoS
NLoS
- Language
- ISSN
- 2577-2465
The mmWave communication up to 71 GHz is already specified in 3rd generation partnership project (3GPP)5G New Radio (NR), and communication in sub-THz bands is being studied for 6G widely in the academia and industry. Operation with very narrow beamwidths and much higher bandwidths in contrast to Frequency Range 1 (sub-6 GHz) can cater to the high data rate requirements at the expense of extra signal processing burden to overcome the unfavourable conditions such as high attenuation and scattering in the presence of obstacles. Such severe signal power attenuation caused by an obstacle may degrade the network performance due to link failures occurring as a result of line-of-sight (LoS) to non-LoS (NLoS) transitions. These limitations raise the necessity of a sensing system to collect situational awareness data to assist the wireless communication network. This work proposes a method to improve the LoS detection and user localization accuracy using multiple light detection and ranging (LiDAR) sensors co-located in access points (APs). We also propose an approach to predict the LoS transitions based on static LiDAR maps and the proposed method detected the LoS transition 400ms before its occurrence.