Cooperative Localization With Constraint Satisfaction Problem in 5G Vehicular Networks

Hyowon Kim, Sang Hyun Lee, Sunwoo Kim

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


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 languageEnglish
JournalIEEE Transactions on Intelligent Transportation Systems
Publication statusAccepted/In press - 2020


  • 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


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