US 12,414,143 B2
Methods and systems for determining DSS policy between multiple RATs
Jagadishchandra Kodankiri Rai, Bangalore (IN); Godavarti Satya Venkata Uma Kishore, Bangalore (IN); and Vimal Bastin Edwin Joseph, Bangalore (IN)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Jun. 3, 2022, as Appl. No. 17/832,217.
Application 17/832,217 is a continuation of application No. PCT/KR2022/007180, filed on May 19, 2022.
Claims priority of application No. 202141024964 (IN), filed on Jun. 4, 2021; and application No. 202141024964 (IN), filed on Mar. 4, 2022.
Prior Publication US 2023/0284254 A1, Sep. 7, 2023
Int. Cl. H04W 72/542 (2023.01); H04W 16/14 (2009.01)
CPC H04W 72/542 (2023.01) [H04W 16/14 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for determining a dynamic spectrum sharing (DSS) policy across multiple radio access technologies (RATs), the method comprising:
determining, by a centralized node, a user equipment (UE) resource scaling factor for each of a plurality of UEs corresponding to at least one previous scheduling result based on at least one of: a UE learning rate of each UE, a previous radio resource requirements of each UE, or a UE spectral efficiency achieved by each UE for the at least one previous scheduling result;
determining, by the centralized node, radio resource requirements of each of the plurality of UEs based on the UE resource scaling factor of each UE;
determining, by the centralized node, cumulative radio resource requirements of the plurality of UEs based on the radio resource requirements of each UE; and
determining, by the centralized node, the DSS policy for scheduling radio resources based on the cumulative radio resource requirements of the plurality of UEs, and based on cell key performance indicator (KPI) metrics or a plurality of DSS scaling factors.