TY - GEN
T1 - Millimeter Wave V2V Beam Tracking using Radar
T2 - 31st European Signal Processing Conference, EUSIPCO 2023
AU - Luo, Hao
AU - Demirhan, Umut
AU - Alkhateeb, Ahmed
N1 - Publisher Copyright:
© 2023 European Signal Processing Conference, EUSIPCO. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Utilizing radar sensing for assisting communication has attracted increasing interest thanks to its potential in dynamic environments. A particularly interesting problem for this approach appears in the vehicle-to-vehicle (V2V) millimeter wave and terahertz communication scenarios, where the narrow beams change with the movement of both vehicles. To address this problem, in this work, we develop a radar-aided beam-tracking framework, where a single initial beam and a set of radar measurements over a period of time are utilized to predict the future beams after this time duration. Within this framework, we develop two approaches with the combination of various degrees of radar signal processing and machine learning. To evaluate the feasibility of the solutions in a realistic scenario, we test their performance on a real-world V2V dataset. Our results indicated the importance of high angular resolution radar for this task and affirmed the potential of using radar for the V2V beam management problems.
AB - Utilizing radar sensing for assisting communication has attracted increasing interest thanks to its potential in dynamic environments. A particularly interesting problem for this approach appears in the vehicle-to-vehicle (V2V) millimeter wave and terahertz communication scenarios, where the narrow beams change with the movement of both vehicles. To address this problem, in this work, we develop a radar-aided beam-tracking framework, where a single initial beam and a set of radar measurements over a period of time are utilized to predict the future beams after this time duration. Within this framework, we develop two approaches with the combination of various degrees of radar signal processing and machine learning. To evaluate the feasibility of the solutions in a realistic scenario, we test their performance on a real-world V2V dataset. Our results indicated the importance of high angular resolution radar for this task and affirmed the potential of using radar for the V2V beam management problems.
UR - http://www.scopus.com/inward/record.url?scp=85178373716&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178373716&partnerID=8YFLogxK
U2 - 10.23919/EUSIPCO58844.2023.10289752
DO - 10.23919/EUSIPCO58844.2023.10289752
M3 - Conference contribution
AN - SCOPUS:85178373716
T3 - European Signal Processing Conference
SP - 740
EP - 744
BT - 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings
PB - European Signal Processing Conference, EUSIPCO
Y2 - 4 September 2023 through 8 September 2023
ER -