In this paper, we propose optimal beamforming strategies for a millimeter wave (mmWave) system consisting of multiple users based on the localization performance bounds. We consider a single base station (BS) with prior coarse knowledge of the users' positions and formulate the optimal beamforming problem in order to minimize the localization error consisting of Cramer Rao Lower Bounds (CRLBs) of delay, angle of departure (AoD) and angle of arrival (AoA) estimation at the mobile users. We first formulate the simplified CRLB of estimation parameters, taking advantage of multiple sub-carriers, and then formulate the localization error for optimization of the beamformer. Finally, we evaluate the resulting position and orientation error bounds after optimization for several fairness strategies through Monte Carlo simulations.
Localization Optimal Multi-user Beamforming with multi-carrier mmWave MIMO / Koirala, Remun; Denis, Benoit; Uguen, Bernard; Dardari, Davide; Wymeersch, Henk. - ELETTRONICO. - 2018-:(2018), pp. 8580712.1-8580712.7. (Intervento presentato al convegno 29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 tenutosi a ita nel 2018) [10.1109/PIMRC.2018.8580712].
Localization Optimal Multi-user Beamforming with multi-carrier mmWave MIMO
Dardari, Davide;
2018
Abstract
In this paper, we propose optimal beamforming strategies for a millimeter wave (mmWave) system consisting of multiple users based on the localization performance bounds. We consider a single base station (BS) with prior coarse knowledge of the users' positions and formulate the optimal beamforming problem in order to minimize the localization error consisting of Cramer Rao Lower Bounds (CRLBs) of delay, angle of departure (AoD) and angle of arrival (AoA) estimation at the mobile users. We first formulate the simplified CRLB of estimation parameters, taking advantage of multiple sub-carriers, and then formulate the localization error for optimization of the beamformer. Finally, we evaluate the resulting position and orientation error bounds after optimization for several fairness strategies through Monte Carlo simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.