Elevated LiDAR based Sensing for 6G - 3D Maps with cm Level Accuracy

Padmal, Madhushanka; Marasinghe, Dileepa; Vijitha, Isuru,; Jayaweera, Nalin; Ali, Samad; Rajatheva, Nandana

doi:10.1109/vtc2022-spring54318.2022.9860788

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…In our previous works, we have discussed the effectiveness of utilizing infrastructure based elevated LiDARs to optimize the performance of wireless networks while reducing the burden on radio links [3]. Moreover, the fusion of multiple LiDAR point clouds from different angles yields better accuracy on measurements compared to a single LiDAR [4]. In a recent work, we proposed a method to predict human blockages using infrastructure-mounted LiDARs in indoor scenarios [5].…”

Section: Related Workmentioning

confidence: 99%

LiDAR aided Wireless Networks - LoS Detection and Prediction based on Static Maps

Jayaweera

Marasinghe

Rajatheva

et al. 2022

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

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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.

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Section: Related Workmentioning

confidence: 99%

LiDAR aided Wireless Networks - LoS Detection and Prediction based on Static Maps

Jayaweera

Marasinghe

Rajatheva

et al. 2022

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

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LiDAR aided Wireless Networks - Beam Prediction for 5G

Marasinghe

Jayaweera

Rajatheva

et al. 2022

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

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5G New Radio (NR) mmWave operates with narrow beams. Beam-based connections require careful management of beams to ensure a reliable connection, specially when the user has mobility. 5G NR beam management achieve this, at the expense of periodic reporting with increased overheads and resource usage. Concurrently, recent interest in sensing for assisting wireless systems provides an opportunity to extract situational awareness information which can aid in proactive decisions for the network. In this work, we utilize an infrastructure-mounted light detection and ranging (LiDAR) sensor system simultaneously operating with the wireless system to predict future beam decisions. A recurrent neural network (RNN) based learning model is proposed for the beam prediction, employing tracking information of users facilitated by the LiDARs and beam sequence information from the wireless system. Furthermore, a method for predictive beam management with increased periodicity of the reporting mechanism and aperiodic reporting is analyzed. The results for the considered scenario reveal 86.8% of the resources can be saved compared to the conventional beam reporting procedure, while achieving an 88.7% accuracy for optimal beam decisions.

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6G—Enabling the New Smart City: A Survey

Murroni,

Anedda,

Fadda

et al. 2023

Sensors

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Smart cities and 6G are technological areas that have the potential to transform the way we live and work in the years to come. Until this transformation comes into place, there is the need, underlined by research and market studies, for a critical reassessment of the entire wireless communication sector for smart cities, which should include the IoT infrastructure, economic factors that could improve their adoption rate, and strategies that enable smart city operations. Therefore, from a technical point of view, a series of stringent issues, such as interoperability, data privacy, security, the digital divide, and implementation issues have to be addressed. Notably, to concentrate the scrutiny on smart cities and the forthcoming influence of 6G, the groundwork laid by the current 5G, with its multifaceted role and inherent limitations within the domain of smart cities, is embraced as a foundational standpoint. This examination culminates in a panoramic exposition, extending beyond the mere delineation of the 6G standard toward the unveiling of the extensive gamut of potential applications that this emergent standard promises to introduce to the smart cities arena. This paper provides an update on the SC ecosystem around the novel paradigm of 6G, aggregating a series of enabling technologies accompanied by the descriptions of their roles and specific employment schemes.

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Elevated LiDAR based Sensing for 6G - 3D Maps with cm Level Accuracy

Cited by 4 publications

References 14 publications

LiDAR aided Wireless Networks - LoS Detection and Prediction based on Static Maps

LiDAR aided Wireless Networks - LoS Detection and Prediction based on Static Maps

LiDAR aided Wireless Networks - Beam Prediction for 5G

6G—Enabling the New Smart City: A Survey

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