OPTIMIZED MANAGEMENT OF BANDWIDTH PARTS FOR CELLULAR NETWORKS
A method for optimizing bandwidth part (BWP) management for 5G wireless network includes: periodically analyzing, by a BWP analytics module located at one of near-real-time radio access network intelligent controller (near-RT RIC) or a distributed unit (DU) of a gNodeB, at least one of physical resource block (PRB) utilization difference, delay violation percentage corresponding to a percentage of logical channels not able to meet delay requirements for quality of service (QOS) profile assigned to the logical channels, throughput, and interference levels of a BWP to classify the BWP; periodically analyzing, by the BWP analytics module, at least one of PRB utilization, throughput, and delay requirements of at least one user equipment (UE); and categorizing, by the BWP analytics module, the at least one UE into one of a plurality of BWP classifications based on the analyzing of the at least one of PRB utilization, throughput, and delay requirements.
1 . A method for optimizing bandwidth part (BWP) management for 5G wireless network, comprising:
periodically analyzing, by a BWP analytics module located at one of near-real-time radio access network intelligent controller (near-RT RIC) or a distributed unit (DU) of a gNodeB (gNB), BWP performance measures for at least one of a physical resource block (PRB) utilization difference, a delay violation percentage corresponding to a percentage of logical channels not able to meet delay requirements for quality of service (QOS) profile assigned to the logical channels, a throughput, and interference levels of a BWP to classify the BWP;
periodically analyzing, by the BWP analytics module, at least one of PRB utilization, throughput, and delay requirements of at least one user equipment (UE); and
categorizing, by the BWP analytics module, the at least one UE into one of a plurality of BWP classifications based on the analyzing of the at least one of PRB utilization, throughput, and delay requirements.
2 . The method of claim 1 , further comprising:
analyzing, by the BWP analytics module, the number of UEs per each one of the plurality of BWP classification to implement one of a plurality of BWP management actions, wherein the BWP classifications for the UEs include: resource-intensive UEs; resource-delay-intensive UEs; and resource-light UEs.
3 . The method of claim 2 , further comprising:
in the case the number of resource-intensive UEs exceeds a specified threshold for maximum resource-intensive UEs, one of i) increasing the number of resource blocks (RBs) in the BWP, ii) transferring at least some of the resource-intensive UEs from the BWP to another BWP that is underloaded, or iii) creating a new BWP and transferring at least some of the resource-intensive UEs to the new BWP.
4 . The method of claim 2 , further comprising:
in the case the number of resource-delay-intensive UEs exceeds a specified threshold for maximum resource-delay-intensive UEs, one of i) using a higher subcarrier spacing (SCS) for the BWP, ii) transferring at least some of the resource-delay-intensive UEs from the BWP to another BWP having a higher SCS, or iii) creating a new BWP having a higher SCS, and transferring at least some of the resource-delay-intensive UEs to the new BWP.
5 . The method of claim 2 , further comprising:
in the case the number of resource-light UEs exceeds a specified threshold for maximum resource-light UEs, one of i) reducing the number of RBs in the BWP, ii) transferring at least some of the resource-light UEs from the BWP to another BWP that has a lower number of RBs and is underloaded, or iii) creating a new BWP as a subset of the current BWP and transferring at least some of the UEs to the new BWP.
6 . The method of claim 1 , further comprising:
periodically analyzing, by the BWP analytics module, an interference level of a BWP; and
if a percentage of PRBs in the BWP have an interference greater than an average interference of the BWP, identifying the BWP as a candidate for modification.
7 . The method of claim 1 , further comprising:
analyzing the BWP performance measures to estimate a threshold to determine an optimal set of BWPs.
8 . The method of claim 1 , wherein the BWP analytics module is at the near-RT RIC and subscribes to the BWP performance measures from the DU, the method further comprising: analyzing the BWP performance measures at the near-RT RIC to determine an optimal set of BWPs.
9 . The method of claim 8 , wherein the BWP analytics module at the near-RT RIC is configured to send the optimal BWP set to the DU based on the analysis of the BWP performance measures.
10 . The method of claim 1 , wherein the BWP analytics module is at the gNB-DU and is configured to analyze BWP performance measures present at the gNB-DU to determine an optimal set of BWPs.
11 . A system for optimizing bandwidth part (BWP) management for 5G wireless network, comprising:
a BWP analytics module located at one of near-real-time radio access network intelligent controller (near-RT RIC) or a distributed unit (DU) of a gNodeB (gNB), configured to analyze BWP performance measures including at least one of a physical resource block (PRB) utilization difference, a delay violation percentage corresponding to a percentage of logical channels not able to meet delay requirements for quality of service (QoS) profile assigned to the logical channels, a throughput, and interference levels of a BWP to classify the BWP;
wherein the BWP analytics module is configured to periodically analyze at least one of PRB utilization, throughput, and delay requirements of at least one user equipment (UE); and
categorize the at least one UE into one of a plurality of BWP classifications based on the analyzing of the at least one of PRB utilization, throughput, and delay requirements.
12 . The system of claim 11 , wherein the BWP analytics module is configured to analyze the number of UEs per each one of the plurality of BWP classification to implement one of a plurality of BWP management actions, wherein the BWP classifications for the UEs include: resource-intensive UEs; resource-delay-intensive UEs; and resource-light UEs.
13 . The system of claim 12 , wherein, in the case the number of resource-intensive UEs exceeds a specified threshold for maximum resource-intensive UEs, the BWP analytics module is configured to execute one of i) increasing the number of resource blocks (RBs) in the BWP, ii) transferring at least some of the resource-intensive UEs from the BWP to another BWP that is underloaded, or iii) creating a new BWP and transferring at least some of the resource-intensive UEs to the new BWP.
14 . The system of claim 12 , wherein, in the case the number of resource-delay-intensive UEs exceeds a specified threshold for maximum resource-delay-intensive UEs, the BWP analytics module is configured to execute one of i) using a higher subcarrier spacing (SCS) for the BWP, ii) transferring at least some of the resource-delay-intensive UEs from the BWP to another BWP having a higher SCS, or iii) creating a new BWP having a higher SCS, and transferring at least some of the resource-delay-intensive UEs to the new BWP.
15 . The system of claim 12 , wherein, in the case the number of resource-light UEs exceeds a specified threshold for maximum resource-light UEs, the BWP analytics module is configured to execute one of i) reducing the number of RBs in the BWP, ii) transferring at least some of the resource-light UEs from the BWP to another BWP that has a lower number of RBs and is underloaded, or iii) creating a new BWP as a subset of the current BWP and transferring at least some of the UEs to the new BWP.
16 . The system of claim 12 , wherein the BWP analytics module is configured to:
analyze the interference levels of a BWP; and
if a percentage of PRBs in the BWP has an interference greater than an average interference of the BWP, identify the BWP as a candidate for modification.
17 . The system of claim 11 , wherein the BWP analytics module is configured to:
analyze the BWP performance measures to estimate a threshold to determine an optimal set of BWPs.
18 . The system of claim 11 , wherein the BWP analytics module is at the near-RT RIC and subscribes to the BWP performance measures from the DU, and wherein the BWP analytics module is further configured to analyze the BWP performance measures at the near-RT RIC to determine an optimal set of BWPs.
19 . The system of claim 18 , wherein the BWP analytics module is at the near-RT RIC and is further configured to send the optimal BWP set to the DU based on the analysis of the BWP performance measures.
20 . The system of claim 11 , wherein the BWP analytics module is at the gNB-DU and is configured to analyze BWP performance measures present at the gNB-DU to determine an optimal set of BWPs.