Cooperative Localization With Constraint Satisfaction Problem in 5G Vehicular Networks
- Authors
- Kim, Hyowon; Lee, Sang Hyun; Kim, Sun woo
- Issue Date
- Apr-2022
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- 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
- Citation
- IEEE Transactions on Intelligent Transportation Systems, v.23, no.4, pp.3180 - 3189
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Transactions on Intelligent Transportation Systems
- Volume
- 23
- Number
- 4
- Start Page
- 3180
- End Page
- 3189
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3647
- DOI
- 10.1109/TITS.2020.3032645
- ISSN
- 1524-9050
- Abstract
- 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.
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