Mobile millimeter wave channel tracking: A bayesian beamforming framework against DOA uncertainty

A Bayesian approach for joint beamforming and tracking is presented, which is robust to uncertain direction-of-arrival (DOA) estimation in millimeter wave (mmWave) multiple input multiple output (MIMO) systems. The uncertain or completely unknown DOA is modeled as a discrete random variable with a priori distribution defined over a set of candidate DOAs, which describes the level of uncertainty. The estimation problem of DOA is formulated as a weighted sum of previously observed DOA values, where the weights are chosen according to a posteriori probability density function (pdf) of the DOA. In particular, we present a motion trajectory-based a priori probability approximation method, which implies a high probability to perform a directional estimate within a specific spatial region. We demonstrate that the proposed approach is robust to DOA uncertainty, and the beam tracking problem can be addressed by incorporating the Bayesian approach with an expectation-maximization (EM) algorithm. Simulation results validate the theoretical analysis and demonstrate the effectiveness of the proposed solution.

Yang, Y., Dang, S., Wen, M., Mumtaz, S., & Guizani, M. (2019). Mobile Millimeter Wave Channel Tracking: A Bayesian Beamforming Framework against DOA Uncertainty. 2019 IEEE Global Communications Conference (GLOBECOM). doi:10.1109/globecom38437.2019.9013620

Institute of Electrical and Electronics Engineers (IEEE)

Conference/Event Name
2019 IEEE Global Communications Conference, GLOBECOM 2019


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