Abstract: Embodiments of the present disclosure provide methods and apparatus for tuning a plurality of beams. A method performed at a network node may comprise: determining (S101) a respective coverage requirement for a plurality of beams; determining (S102) a respective coverage area for the plurality of beams, based on the determined coverage requirement; determining (S103) a power requirement for the plurality of beams, based at least on the determined coverage area; and tuning (S104) at least one of the plurality of the beams, based at least on the determined power requirement. The energy efficiency and the network capacity may be improved, while the shape of each beam could be adaptively refactored.

Abstract: Systems and methods for landscape sensing using radio signals are provided. In some embodiments, a base station configured to communicate with a User Equipment (UE) includes a radio interface and processing circuitry configured to: obtain a plurality of channel measurements relating to the UE; and determine a landscape type in which the UE is operating based on the plurality of channel measurements. In this way, the base station can infer the UE's landscape without the need for any new sensor or radar infrastructure requirements. In this way, the signaling need between base stations can be reduced. In some embodiments, smaller dimension input features will reduce the computational complexity so that it can be implemented on an embedded base station hardware.

Abstract: Embodiments of the present disclosure provide methods and apparatus for tuning a plurality of beams. A method performed at a network node may comprise: determining (S101) a respective coverage requirement for a plurality of beams; determining (S102) a respective coverage area for the plurality of beams, based on the determined coverage requirement; determining (S103) a power requirement for the plurality of beams, based at least on the determined coverage area; and tuning (S104) at least one of the plurality of the beams, based at least on the determined power requirement. The energy efficiency and the network capacity may be improved, while the shape of each beam could be adaptively refactored.