公开(公告)号：US20230379399A1

公开(公告)日：2023-11-23

申请号：US18320620

申请日：2023-05-19

Applicant: Samsung Electronics Co., Ltd.

Inventor： Naveen KUMAR

IPC: H04L67/568 ,  H04W28/06 ,  H04L67/60

CPC classification number: H04L67/568 ,  H04W28/065 ,  H04L67/60

Abstract: A method for content management in a cellular network is provided. The method includes receiving, by an application server, a content request including a file identity from a User Equipment (UE), performing, upon receiving the content request, by the application server, at least one action associated with content caching, content retrieval, and content deletion, assigning, by the application server, one or more assisting parameters in a header of an Internet Protocol (IP) packet, based on the at least one performed action, and assisting, by the application server, at least one of a User Plane Function (UPF) device, and a Packet Data Convergence Protocol (PDCP) device of the cellular network to manage content, based on the one or more assigned assisting parameters.

公开(公告)号：US20220104127A1

公开(公告)日：2022-03-31

申请号：US17484713

申请日：2021-09-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Karthikeyan SUBRAMANIAM ,  Karthikeyan NARAYANAN ,  Naveen KUMAR ,  Veerabhadrappa Murigeppa GADAG ,  Vivek SONI

IPC: H04W52/02 ,  H04W28/02 ,  H04W28/26 ,  H04L12/26

Abstract: The disclosure is related to a method for power management in a wireless communication system. The method includes measuring network resource utilization levels for a plurality of virtual network functions (VNFs) over a time period based on at least one network parameter, determining a behavioral pattern of the network resource utilization levels based on a predictive analysis of the measured network resource utilization levels, forecasting a lean workload time interval of the network resource utilization levels based on the determined behavioral pattern and current network resource utilization levels of the plurality of VNFs, and adjusting central processing unit (CPU) core frequencies of a network server based on the forecasted lean workload time interval.