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. The assessment for V2V and V2I positioning technology is still under development for future applications. Thus, a new paradigm for efficient localization in the vehicular networks is urged. Large bandwidths and large antenna arrays respectively afford the support for highly resolvable distance and angle estimation. Furthermore, seamless connectivity empowered by D2D cooperation also becomes available via the line-of-sight (LOS) radio propagation in highly dense networks. However, a high computational load still remains unravelled in the context of cooperative localization, albeit with its advantages of high-precision localization. A Deep neural network (DNN) assisted, and an alternating direction method of multipliers (ADMM) formalism for cooperative localization readily enables to recast a formulation of the decentralized optimization. They are efficient solutions of the optimization is developed in a distributed manner.

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• J. Eom, H. Kim, S. H. Lee, and S. Kim, “DNN-Assisted Cooperative Localization in Vehicular Networks,” Energies, Special Issue “Wireless Communication Systems for Localization,” vol. 12, no. 14, pp. 2758, Jul. 2019.​

• H. Kim, S. H. Lee, and S. Kim, "Cooperative localization with Distributed ADMM Over 5G-based VANETs," in Proc. 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, 2018, pp. 1-5.​

• H. Kim, S. H. Lee, and S. Kim, “Cooperative Localization with Constraint Satisfaction Problem in 5G Vehicular Networks,” IEEE Trans. Intell. Transp. Syst., Nov. 2020.