5G mmWave Positioning for Vehicular Networks

By Henk Wymeersch, Gonzalo Seco-Granados, Giuseppe Destino, Davide Dardari, Fredrik Tufvesson. IEEE wireless communications, 2017

436 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7375e03b668cbc84e66db847a4cc0d6882b7f28d

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In Electrical and Electronic Engineering

Citations in the corpus

Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “…location has beneﬁts for several applications, such as positioning of unmanned aerial vehicles (UAVs), ground robots, in factory automation, or for automated vehicles [93], as well as new disruptive applications in the contexts of virtual and augmented reality, gaming, social networking, etc. [94].”
Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming (2021, background): “These applications demand wireless connectivity with tremendously increased data rates, substantially reduced latency, high-accuracy localization capability and support for massive devices [1], [2].”
Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead (2019, background): “In next-generation autonomous vehicle (AV) networks, vehicle-to-everything (V2X) communication will require lowlatency Gbps data rates; while general communications can deal with hundreds of ms delays, AV-controlled critical applications require delays of the order of tens of ms [12].”
An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems (2021, neutral): “Third generation (3G) communication systems can provide a positioning accuracy of the order of tens of meters by using TDoA measurements [221].”
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “11ad, where the CEF/pilot signals, originally designed for channel estimation, are exploited for radar sensing [123]–[126].”
Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach (2020, methodology): “Provided that the vehicle is moving along the direction parallel with the ULA, the angle 1 For convenience of exposition, the vehicles are modeled as point targets following standard assumption in the literature [25].”
Radar-Assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing (2020, background): “For instance, the 4G cellular system provides Mbps communication services, with coarse positioning capability at an accuracy of tens of meters, and at a latency that often in excess of 1s [1].”
Networking and Communications in Autonomous Driving: A Survey (2019, background): “[194] consider that the specific signal characteristics of 5G is conducive for vehicle posi-”