Localization bound based beamforming optimization for multicarrier mmWave MIMO

Koirala, Remun; Denis, B.; Dardard, Davide; Uguen, Bernard

doi:10.1109/wpnc.2017.8250057

Cited by 14 publications

(21 citation statements)

References 12 publications

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“…Destino et al [5] have studied the trade-off between communication rate and positioning quality in a single user mm-wave link. Similarly Koirala et al [8] have studied the beamforming optimization and spectral power allocation based on theoretical localization bounds.…”

Section: A Related Workmentioning

confidence: 99%

Positioning Data-Rate Trade-Off in mm-Wave Small Cells and Service Differentiation for 5G Networks

Ghatak¹,

Koirala²,

Domenico³

et al. 2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

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We analyze a millimeter wave network, deployed along the streets of a city, in terms of positioning and downlink data-rate performance, respectively. First, we present a transmission scheme where the base stations provide jointly positioning and data-communication functionalities. Accordingly, we study the trade-off between the localization and the data rate performance based on theoretical bounds. Then, we obtain an upper bound on the probability of beam misalignment based on the derived localization error bound. Finally, we prescribe the network operator a scheme to select the beamwidth and the power splitting factor between the localization and communication functions to address different quality of service requirements, while limiting cellular outage.

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Section: A Related Workmentioning

confidence: 99%

Positioning Data-Rate Trade-Off in mm-Wave Small Cells and Service Differentiation for 5G Networks

Ghatak¹,

Koirala²,

Domenico³

et al. 2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

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“…Using these theoretical performance bounds, recent works in the literature have also been dedicated towards finding the localization optimal beamformers. In particular, [16] and [17] study localization bounds based beamforming in a single-user context with both single and multiple subcarriers. Similarly, in [18], the authors propose beamforming strategies to minimize a localization error expressed in the form of the squared position error bound (SPEB).…”

Section: Introductionmentioning

confidence: 99%

Localization and Throughput Trade-Off in a Multi-User Multi-Carrier mm-Wave System

et al. 2019

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In this paper, we propose various localization error optimal beamforming strategies and subsequently study the trade-off between data and localization services while budgeting time and frequency resources in a multiuser millimeter-wave framework. Allocating more resources for the data service phase instead of localization would imply higher data rate but, concurrently, also a higher position and orientation estimation error. In order to characterize this trade-off, we firstly derive a flexible application-dependent localization error cost function combining the Cramér-Rao lower bounds of delay, angle of departure and/or angle of arrival estimates at a mobile receiver over the downlink. Consequently we devise different fairness criteria based localization error optimal beamforming strategies in a multiuser context. Finally, we show the advantage of the latter beamforming strategies and assess the communication-localization trade-off with respect to various time-frequency resource division schemes.

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“…Finally, other contributions aim at optimizing the transmit beamforming so as to reduce the localization error. For instance, [9], [10] have used the theoretical bounds to optimize the beamformer for single and multiple sub-carriers respectively for single user case.…”

Section: Introductionmentioning

confidence: 99%

Localization Optimal Multi-user Beamforming with multi-carrier mmWave MIMO

Koirala

Denis

Uguen

et al. 2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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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.

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Localization bound based beamforming optimization for multicarrier mmWave MIMO

Cited by 14 publications

References 12 publications

Positioning Data-Rate Trade-Off in mm-Wave Small Cells and Service Differentiation for 5G Networks

Positioning Data-Rate Trade-Off in mm-Wave Small Cells and Service Differentiation for 5G Networks

Localization and Throughput Trade-Off in a Multi-User Multi-Carrier mm-Wave System

Localization Optimal Multi-user Beamforming with multi-carrier mmWave MIMO

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