Method and system for positioning low altitude platform station (LAPS) drone cells

    公开(公告)号:US10939408B2

    公开(公告)日:2021-03-02

    申请号:US16788744

    申请日:2020-02-12

    Abstract: Systems and methods are described for positioning a Low Altitude Platform Station (LAPS) based drone cells for supporting communication in a 3GPP network. The methods may include receiving at least one feedback parameter from a UE pertaining to a current network traffic flow and mobility with respect of the UE. The UE is selected for an aerial network through a drone base station (DBS) cell based on service requirement determined from the feedback parameter. Further, a position for at least one DBS-cell is determined with respect to the at least one selected UE based on the at least one parameter to serve the selected UE. An aerial-communication link is established between the selected UE and the DBS cell by deploying one or more LAPS as a drone base station (DBS) in accordance with the determined position of DBS-cell to thereby augment a network connectivity of the selected UE.

    Methods and systems for sharing aerial assets amongst terrestrial network operators

    公开(公告)号:US12231219B2

    公开(公告)日:2025-02-18

    申请号:US17754073

    申请日:2020-09-24

    Abstract: Methods and systems for sharing aerial assets amongst terrestrial network operators. Embodiments enable sharing of aerial assets amongst the terrestrial network operators and facilitate on-demand deployment of the aerial cells to improve coverage and capacity of the terrestrial network operators. Embodiments allow sharing of aerial assets such as aerial cell mount, backhaul, an aerial RAN, and aerial spectrum using sharing architectures. Embodiments provide a managing entity for forecasting data traffic pertaining to the terrestrial network operators and optimizing the deployment of the aerial cells, based on the forecasted data traffic, for enabling strategic deployment of the aerial cells. Embodiments ensure that the resources of the aerial cells are effectively utilized and the number of aerial cells required for enhancing the capacity of the terrestrial network operators is minimized.

    METHOD AND SYSTEM FOR POSITIONING LOW ALTITUDE PLATFORM STATION (LAPS) DRONE CELLS

    公开(公告)号:US20200260404A1

    公开(公告)日:2020-08-13

    申请号:US16788744

    申请日:2020-02-12

    Abstract: Systems and methods are described for positioning a Low Altitude Platform Station (LAPS) based drone cells for supporting communication in a 3GPP network. The methods may include receiving at least one feedback parameter from a UE pertaining to a current network traffic flow and mobility with respect of the UE. The UE is selected for an aerial network through a drone base station (DBS) cell based on service requirement determined from the feedback parameter. Further, a position for at least one DBS-cell is determined with respect to the at least one selected UE based on the at least one parameter to serve the selected UE. An aerial-communication link is established between the selected UE and the DBS cell by deploying one or more LAPS as a drone base station (DBS) in accordance with the determined position of DBS-cell to thereby augment a network connectivity of the selected UE.

    Methods and systems for deploying and sharing aerial cells in an mMTC system

    公开(公告)号:US12232005B2

    公开(公告)日:2025-02-18

    申请号:US17804782

    申请日:2022-05-31

    Abstract: A method for deploying and sharing aerial cells in a massive machine type communication (mMTC) network includes forecasting data traffic across a plurality of mMTC network operators for each of a plurality of geographical areas. The method includes generating a forecasted plan based on the forecasted data traffic, and a hovering time of each of a plurality of aerial cells. The method includes deploying and sharing at least one aerial cell from the plurality of aerial cells between the plurality of mMTC network operators to provide coverage to at least one mMTC node in at least one geographical area of the plurality of geographical areas, based on the forecasted plan.

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