Cooperative Localization With Constraint Satisfaction Problem in 5G Vehicular Networks

Citations

WEB OF SCIENCE

30
Citations

SCOPUS

36

초록

5G new radio will provide a new paradigm in high accurate vehicle localization, reinforced by the use of large antenna arrays along with carefully designed broadband radio technology. However, a high computational load still remains unravelled in the context of cooperative localization, albeit with its advantages of high-precision localization. To alleviate such the computational burden, we develop a reliable technique of cooperative localization, addressed as a constraint satisfaction problem. A constraint satisfaction formalism for cooperative localization readily enables to recast a formulation of the decentralized optimization. Its efficient solution of the optimization is developed in a distributed manner. Simulation results demonstrate that the proposed approach saves the requested computational loads significantly while sustaining the satisfactory accuracy of cooperative localization.

키워드

5G mobile communication; 5G new radio; Antenna arrays; Broadband antennas; connected vehicles; constraint satisfaction; cooperative localization; Device-to-device communication; Indexes; message-passing; millimeter-wave.; Optimization; Wireless networks; Antenna arrays; Constraint satisfaction problems; Optimization; Computational burden; Computational loads; Constraint Satisfaction; Cooperative localization; Decentralized optimization; High-precision localization; Vehicle localization; Vehicular networks; 5G mobile communication systems
제목
Cooperative Localization With Constraint Satisfaction Problem in 5G Vehicular Networks
저자
Kim, Hyowon; Lee, Sang Hyun; Kim, Sun woo
DOI
10.1109/TITS.2020.3032645
발행일
2022-04
유형
Article
저널명
IEEE Transactions on Intelligent Transportation Systems
권
23
호
4
페이지
3180 ~ 3189