Method and apparatus for handling network functionalities of wireless network

1 . A method for handling network functionalities of a wireless network, comprises:

receiving, by a base station of the wireless network, parameters from a plurality of user equipments (UEs) in the wireless network;

identifying, by the base station, a plurality of UE clusters within a cell of the base station based on the parameters including beam identifiers (IDs) and timing advances (TAs) of the plurality of UEs;

detecting, by the base station, a network service requirement of a UE cluster among the plurality of UE clusters;

determining, by the base station, whether the UE cluster among the plurality of UE clusters meets a threshold condition based on the parameters; and

activating, by the base station, a network functionality for the UE cluster based on the network service requirement of the UE cluster in case that the UE cluster in the plurality of UE clusters meets the threshold condition.

2 . The method as claimed in claim 1 , wherein the parameters comprise at least one of a previous measurement report from each UE, strength of wireless signal receiving at each UE, capability information of each UE, a location of each UE, a velocity of each UE, a beam ID of each UE, and a TA of each UE, and

wherein the capability information comprises at least one of a UE category, a number of antennas, Radio Access Technology (RAT) capability, band capability, Carrier Aggregation (CA) capability, and Dual Connectivity (DC) capability.

3 . The method as claimed in claim 1 , wherein the network service requirement comprises at least one of a data requirement, a Quality of Service (QoS) requirement, and a call service requirement.

4 . The method as claimed in claim 1 , wherein the network functionality comprises at least one of handover, secondary cell addition for a carrier aggregation, second Radio Access Technology (RAT) addition for dual connectivity, a RAT Fall Back (RATFB), and reconfiguration of UE measurements.

5 . The method as claimed in claim 1 , wherein identifying, by the base station, the plurality of UE clusters within the cell of the base station based on the parameters, comprises:

creating, by the base station, the plurality of UE clusters within the cell of the base station based on a beam ID of each UE, and a TA of each UE in the parameters;

determining, by the base station, at least one UE sector in each UE cluster based on the beam ID, and the TA;

estimating, by the base station, a similarity between sectors of multiple UE clusters in the plurality of UE clusters using a similarity function; and

merging, by the base station, the multiple UE clusters to a single UE cluster when the similarity between the sectors of the multiple UE clusters is less than a similarity threshold.

6 . The method as claimed in claim 5 , wherein the method comprises:

removing, by the base station, a sector from the UE cluster when all UEs in the sector are removed.

7 . The method as claimed in claim 5 , wherein the method comprises:

removing, by the base station, the UE cluster when all sectors in the UE cluster are removed.

8 . The method as claimed in claim 1 , wherein determining, by the base station, the threshold condition based on the parameters, comprises:

determining, by Machine Learning (ML) model of the base station, whether the parameters belonging to each cluster are within a measurement control information comprising an offset, a hysteresis, and a threshold;

estimating, by the base station, at least one of:

a value of a cost function of the ML model is low when the parameters belonging to each cluster are within the measurement control information, and

the value of the cost function of the ML model is high when the parameters belonging to each cluster are not within the measurement control information;

determining, by the base station, a similarity threshold, a mobility threshold and a configuration mobility threshold based on the value of the cost function; and

determining, by the base station, the threshold condition using at least one of the similarity threshold, the mobility threshold and the configuration mobility threshold.

9 . The method as claimed in claim 1 , wherein activating, by the base station, the network functionality for the UE cluster based on the network service requirement of the UE cluster upon determining that the UE cluster in the plurality of UE clusters meets the threshold condition, comprises:

determining, by the base station, that one or more UEs in the UE cluster is moving;

evaluating, by the BS, a signal strength, a mobility status and a direction of movement of each UE within the UE cluster with respect to an evaluation criteria; and

reconfiguring, by the base station, all UEs in the UE cluster meeting the evaluation criteria with a target cell using a Measurement Report (MR) table and a UE velocity for handover.

10 . The method as claimed in claim 1 , wherein activating, by the base station, the network functionality for the UE cluster based on the network service requirement of the UE cluster upon determining that the UE cluster in the plurality of UE clusters meets the threshold condition, comprises:

evaluating, by the base station, each UE in the UE cluster having higher data transmission requirements and a carrier aggregation support with respect to an evaluation criteria;

determining, by the base station, whether information of a sector was entered into a Measurement Report (MR) table related to a carrier aggregation event, or whether information of sectors with a higher Timing Advance (TA) compared to other sectors that share a same beam ID was entered into the MR table related to the carrier aggregation event; and

configuring, by the base station, all UEs in the UE cluster meeting the evaluation criteria for secondary cell addition for a carrier aggregation.

11 . The method as claimed in claim 1 , wherein activating, by the base station, the network functionality for the UE cluster based on the network service requirement of the UE cluster upon determining that the UE cluster in the plurality of UE clusters meets the threshold condition, comprises:

evaluating, by the base station, each UE in the UE cluster having higher data transmission requirements and a dual connectivity support with respect to an evaluation criteria;

determining, by the base station, whether the UE cluster with a supported band of each UE was entered in a MR table for connecting to a targeted Radio Access Technology (RAT); and

configuring, by the base station, all UEs in the UE cluster meeting the evaluation criteria for secondary cell group addition for the dual connectivity.

12 . A base station for handling network functionalities of a wireless network, comprises:

a communicator;

a memory storing instructions; and

at least one processor configured to execute the stored instructions for:

receiving, through the communicator, parameters from a plurality of user equipments (UEs) in the wireless network,

identifying a plurality of UE clusters within a cell of the base station based on the parameters including beam identifiers (IDs) and timing advances (TAs) of the plurality of UEs,

detecting a network service requirement of a UE cluster in the plurality of UE clusters,

determining whether the UE cluster in the plurality of UE clusters meets a threshold condition based on the parameters, and

activating a network functionality for the UE cluster based on the network service requirement of the UE cluster in case that the UE cluster in the plurality of UE clusters meets the threshold condition.

13 . The base station as claimed in claim 12 , wherein the parameters comprise at least one of a previous measurement report from each UE, strength of wireless signal receiving at each UE, capability information of each UE, a location of each UE, a velocity of each UE, a beam ID of each UE, and a TA of each UE, wherein the capability information comprise at least one of a UE category, a number of antennas, Radio Access Technology (RAT) capability, band capability, Carrier Aggregation (CA) capability, and Dual Connectivity (DC) capability.

14 . The base station as claimed in claim 12 , wherein the network service requirement comprise at least one of a data requirement, a Quality of Service (QoS) requirement, and a call service requirement.

15 . The base station as claimed in claim 12 , wherein the network functionality comprise at least one of handover, a secondary cell addition for a carrier aggregation, a second Radio Access Technology (RAT) addition for dual connectivity, a RAT Fall Back (RATFB), and reconfiguration of UE measurements.

16 . The base station as claimed in claim 12 , wherein the at least one processor is further configured to execute the stored instructions for:

creating the plurality of UE clusters within the cell of the base station based on a beam ID of each UE, and a TA of each UE in the parameters;

determining at least one UE sector in each UE cluster based on the beam ID, and the TA;

estimating similarity between sectors of multiple UE clusters in the plurality of UE clusters using a similarity function; and

merging the multiple UE clusters to a single cluster when the similarity between the sectors of the multiple UE clusters is less than a similarity threshold.

17 . The base station as claimed in claim 16 , wherein the at least one processor is further configured to execute the stored instructions for:

removing the sector from the cluster when all UEs in the sector are removed.

18 . The base station as claimed in claim 16 , wherein the at least one processor is further configured to execute the stored instructions for:

removing the cluster when all sectors in the cluster are removed.

19 . The base station as claimed in claim 12 , wherein the at least one processor is further configured to execute the stored instructions for:

determining, by Machine Learning (ML) model of the base station, whether the parameters belonging to each cluster are within a measurement control information comprising an offset, a hysteresis, and a threshold;

estimating one of:

a value of a cost function of the ML model is low when the parameters belonging to each cluster are within the measurement control information, and

the value of the cost function of the ML model is high when the parameters belonging to each cluster are not within the measurement control information;

determining a similarity threshold, a mobility threshold and a configuration mobility threshold based on the value of the cost function; and

determining the threshold condition using at least one of the similarity threshold, the mobility threshold and the configuration mobility threshold.

20 . A non-transitory computer readable storage medium may include one or more programs, the one or more programs comprising instructions configured to, when executed by at least one processor of a base station, cause the base station for handling network functionalities of a wireless network to perform operations comprising:

receiving parameters from a plurality of user equipments (UEs) in the wireless network;

identifying a plurality of UE clusters within a cell of the base station based on the parameters including beam identifiers (IDs) and timing advances (TAs) of the plurality of UEs;

detecting a network service requirement of a UE cluster among the plurality of UE clusters, to determine whether the UE cluster among the plurality of UE clusters meets a threshold condition based on the parameters; and

activating a network functionality for the UE cluster based on the network service requirement of the UE cluster in case that the UE cluster in the plurality of UE clusters meets the threshold condition.