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.
Original language | English |
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Journal | IEEE Transactions on Intelligent Transportation Systems |
DOIs | |
Publication status | Accepted/In press - 2020 |
Keywords
- 5G mobile communication
- 5G new radio
- Antenna arrays
- Broadband antennas
- Device-to-device communication
- Indexes
- Optimization
- Wireless networks
- connected vehicles
- constraint satisfaction
- cooperative localization
- message-passing
- millimeter-wave.
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications