Abstract: A method for jointly optimizing beam selection and partitioning of transmission resources for a downlink between a base station (BS) and a user equipment (UE) in a mm-wave cellular network such as the small cell layer of a 5G network. A UE position estimate is used for accurate BS beam selection and alignment between the BS and UE beams and/or provide position-based services or functionalities. An optimal partitioning factor is obtained either by maximizing a communication performance indicator while meeting a constraint upon a localization performance indicator or by maximizing a localization performance indicator while meeting a constraint upon a communication performance indicator. A communication performance indicator can be an effective rate coverage probability or an effective throughput.

Abstract: A fast beam training method for a couple of user equipment, UE, and base station, BS, belonging to a mobile communication network such as a 5G network. A pair of iterative loops involves the UE and the BS, and iteratively refine the respective orientation and beamwidth of the transmit beam at the BS side and receive beam at UE side, based on an iteratively refined estimate of the UE position and Angle of Arrival at the UE. The iterative loops can be performed in series or in parallel. The beam training method converges when predetermined constraints on the standard deviations of the estimated UE position and estimated angle of arrival of the downlink signal at the UE are both met. The refined position of the UE can be used for a subsequent localization-assisted communication.

Abstract: A method for jointly optimizing beam selection and partitioning of transmission resources for a downlink between a base station (BS) and a user equipment (UE) in a mm-wave cellular network such as the small cell layer of a 5G network. A UE position estimate is used for accurate BS beam selection and alignment between the BS and UE beams and/or provide position-based services or functionalities. An optimal partitioning factor is obtained either by maximizing a communication performance indicator while meeting a constraint upon a localization performance indicator or by maximizing a localization performance indicator while meeting a constraint upon a communication performance indicator. A communication performance indicator can be an effective rate coverage probability or an effective throughput.

Abstract: A fast beam training method for a couple of user equipment, UE, and base station, BS, belonging to a mobile communication network such as a 5G network. A pair of iterative loops involves the UE and the BS, and iteratively refine the respective orientation and beamwidth of the transmit beam at the BS side and receive beam at UE side, based on an iteratively refined estimate of the UE position and Angle of Arrival at the UE. The iterative loops can be performed in series or in parallel. The beam training method converges when predetermined constraints on the standard deviations of the estimated UE position and estimated angle of arrival of the downlink signal at the UE are both met. The refined position of the UE can be used for a subsequent localization-assisted communication.