EP-4740552-A1 - METHOD AND SYSTEM FOR OPTIMISING LATENCY ASSOCIATED WITH A NETWORK

EP4740552A1EP 4740552 A1EP4740552 A1EP 4740552A1EP-4740552-A1

Abstract

The present disclosure relates to a method [200] and a system [100] for optimising latency associated with a network The disclosure encompasses, receiving, by a transceiver unit [102] from a first network function, a connection request, identifying, by an identification unit [104], a set of network functions based on the connection request, retrieving, by an analysis unit [106], a pending connection request counter data associated with the set of network functions, determining, by the analysis unit [106], a connection traffic flow priority associated with each network function from the set of network functions based on the pending connection request counter data, identifying, by the identification unit [104], a target network function from the set of network functions based on the connection traffic flow priority; and routing, by a routing unit [108] the connection request based on the connection traffic flow priority associated with the target network function.

Inventors

BISHT, SANDEEP
BHATNAGAR, AAYUSH
SINHA, ANURAG
Ansari, Ezaj
YADAV, RAVINDRA
PANDEY, PRASHANT

Assignees

Jio Platforms Limited

Dates

Publication Date: 20260513
Application Date: 20240614

Claims (13)

1. A method [200] for optimising latency associated with a network, the method comprising: receiving, by a transceiver unit [102] at a Service Communication Proxy (SCP) from a first network function, a connection request; identifying, by an identification unit [104] at the SCP, a set of network functions based on the connection request; retrieving, by an analysis unit [106] at the SCP, a pending connection request counter data associated with the set of network functions; determining, by the analysis unit [106] at the SCP, a connection traffic flow priority associated with each network function from the set of network functions based on the pending connection request counter data; identifying, by the identification unit [104] at the SCP, a target network function from the set of network functions based on the connection traffic flow priority; and routing, by a routing unit [108] from the SCP to the target network function, the connection request based on the connection traffic flow priority associated with the target network function.
2. The method [200] as claimed in claim 1, wherein the pending connection request counter data associated with the set of network functions comprises at least a total number of pending connection requests associated with each network function from the set of network functions.
3. The method [200] as claimed in claim 1, wherein the connection traffic flow priority is one of a highest connection traffic flow priority and a lowest connection traffic flow priority.
4. The method [200] as claimed in claim 3, wherein the highest connection traffic flow priority associated with at least one network function from the set of network functions is determined by the analysis unit [106], in an event the total number of pending connection requests associated with said network function is determined as lowest value associated with the total number of pending connection requests.
5. The method [200] as claimed in claim 3, wherein the lowest connection traffic flow priority associated with at least one network function from the set of network functions is determined by the analysis unit [106], in an event the total number of pending connection requests associated with said network function is determined as highest value associated with the total number of pending connection requests.
6. The method [200] as claimed in claim 3, wherein the target network function from the set of network functions is identified by the identification unit [104] based on at least the highest connection traffic flow priority.
7. A system [100] for optimising a latency associated with a network, the system [100] is configured at a Service Communication Proxy (SCP), the system further comprising: a transceiver unit [102], wherein the transceiver unit [ 102] is configured to receive from a first network function, a connection request; an identification unit [104] connected at least to the transceiver unit [102], wherein the identification unit [104] is configured to identify a set of network functions based on the connection request; an analysis unit [106], connected at least to the identification unit [104], wherein the analysis unit [106] is configured to: o retrieve a pending connection request counter data associated with the set of network functions, and o determine a connection traffic flow priority associated with each network function from the set of network functions based on the pending connection request counter data, wherein the identification unit [104] is further configured to identify a target network function from the set of network functions based on the connection traffic flow priority; and a routing unit [108], connected at least to the analysis unit [106] and the identification unit [104], the routing unit [108] is configured to route to the target network function, the connection request based on the connection traffic flow priority associated with the target network function.
8. The system [100] as claimed in claim 7, wherein the pending connection request counter data associated with the set of network functions comprises at least a total number of pending connection requests associated with each network function from the set of network functions.
9. The system [100] as claimed in claim 7, wherein the connection traffic flow priority is one of a highest connection traffic flow priority and a lowest connection traffic flow priority.
10. The system [100] as claimed in claim 9, wherein the analysis unit [106] is configured to determine the highest connection traffic flow priority associated with at least one network function from the set of network functions, in an event the total number of pending connection requests associated with said network function is determined as lowest value associated with the total number of pending connection requests.
11. The system [100] as claimed in claim 9, wherein the analysis unit [106] is configured to determine the lowest connection traffic flow priority associated with at least one network function from the set of network functions, in an event the total number of pending connection requests associated with said network function is determined as highest value associated with the total number of pending connection requests.
12. The system [100] as claimed in claim 9, wherein the identification unit [104] is configured to identify the target network function from the set of network functions, based on at least the highest connection traffic flow priority.
13. Anon-transitory computer readable storage medium storing instructions for optimising latency associated with a network, the instructions including executable code, the executable code when executed, may cause: a transceiver unit [102] to receive from a first network function, a connection request, an identification unit [104] to identify, a set of network functions based on the connection request, an analysis unit [106] to retrieve, a pending connection request counter data associated with the set of network functions, the analysis unit [106] to determine, a connection traffic flow priority associated with each network function from the set of network functions based on the pending connection request counter data, the identification unit [104] to identify, a target network function from the set of network functions based on the connection traffic flow priority, and a routing unit [108] to route, the connection request based on the connection traffic flow priority associated with the target network function.

Description

METHOD AND SYSTEM FOR OPTIMISING LATENCY ASSOCIATED WITH A NETWORK FIELD OF THE DISCLOSURE [001] The present disclosure relates generally to the field of wireless communication systems. More particularly, the present disclosure relates to methods and systems for optimising latency associated with a network. BACKGROUND [002] The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art. [003] Wireless communication technology has undergone rapid evolution over the past few decades, with each generation bringing significant improvements and advancements. The first generation of wireless communication technology was based on analog technology and primarily offered voice services. However, the advent of second-generation (2G) technology introduced digital communication and data services, along with the introduction of text messaging. [004] The introduction of third generation (3G) technology marked a significant milestone, enabling high-speed internet access, mobile video calling, and location-based services. Subsequently, the fourth generation (4G) technology revolutionized wireless communication with faster data speeds, broader network coverage, and enhanced security features. [005] In the field of telecommunication networks, one persistent challenge is the issue of average latency. Latency refers to the delay experienced in data transmission between network endpoints, directly impacting the quality and responsiveness of real-time applications. High latency can result in various issues, including delays in voice and video communication, lag in online gaming, and buffering in streaming services. These problems can lead to a frustrating user experience, hinder productivity, and limit the potential of telecommunication technologies. [006] Over time, various solutions have been developed to improve the performance of communication devices and optimize the average latency associated with networks. However, existing solutions often face challenges such as ineffective prioritization and routing of data packets based on latency requirements. Additionally, prior solutions lack the ability to dynamically adapt to changing network conditions, resulting in suboptimal latency performance during peak traffic periods or in geographically dispersed networks. Furthermore, existing solutions do not adequately address the impact of network congestion, inefficient data compression techniques, or subpar signal processing algorithms, all of which contribute to latency issues. Moreover, prior art does not sufficiently consider the impact of latency on different types of applications, such as realtime voice and video communication, where even minimal delays can significantly degrade user experience. [007] Thus, there exists an imperative need in the art to optimise latency associated with a network, which the present disclosure aims to address. OBJECTS OF THE DISCLOSURE [008] Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below. [009] It is an object of the present disclosure to provide a system and a method for optimising latency associated with the network. [010] It is another object of the present disclosure to provide a solution that identifies a target network function from one or more network functions based on a number of pending requests associated with each network function from the one or more network functions. [Oi l] It is yet another obj ect of the present disclosure to provide a solution to determine a number of pending requests associated with each network function from the one or more network functions based on an active stream data associated with each connection point from the one or more connection points present in a network. [012] It is yet another object of the disclosure to reduce overall latency in 5G core network. [013] It is yet another object of the disclosure to further reduce pending request queue at network functions (servers) which saves from any type of anomaly at network function (server) end which increases overall request success rate in the system. [014] It is yet another object of the disclosure to provide a method for optimizing latency that reduces the overall request processing time. SUMMARY OF THE DISCLOSURE [015] This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter. [016] An aspect of the present disclosure may relate to a method for optimising