5G Load Balancer Orchestration for Multi-Protocol Traffic

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Solution Overview

Problem

Conventional load balancing methods in mobile communication networks, particularly in telco cloud networks, fail to efficiently manage network resources due to insufficient support for multiple protocols, dynamic topology adjustments, and protocol-specific load balancing, leading to suboptimal performance and resource inefficiencies.

Innovation Solution

A load balancing method and apparatus that includes a load balancer with a controller, orchestrator, and engine group, capable of dynamically selecting and configuring load balancing instances based on service requests, supporting various protocols, and optimizing resource allocation through intelligent packet classification and hardware offloading.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional load balancing methods are used in mobile communication networks, then basic load distribution is achieved, but resource efficiency deteriorates due to insufficient support for multiple protocols and dynamic topology adjustments

Engineering Contradiction:
Improveresource efficiencyVSAvoidprotocol support capability
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent implements a universal load balancer architecture that supports multiple protocols (HTTP, HTTPS, TCP, UDP, SCTP) through a unified control plane and multiple protocol-specific engines. The orchestrator dynamically selects and configures appropriate engines based on service request requirements, enabling a single load balancer to perform multiple protocol-specific load balancing functions simultaneously, thereby improving resource efficiency while maintaining high adaptability.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces dynamic topology adjustment capabilities where the load balancer can automatically adapt to changing network conditions, service requirements, and traffic patterns. The orchestrator dynamically creates, modifies, or removes load balancing instances based on real-time network state, enabling the system to optimize resource allocation continuously and respond to dynamic topology changes without manual intervention.

Inventive Principle:
Principle #15Dynamics

2Productivity

If static load balancing configuration is used, then system complexity is reduced, but performance deteriorates due to inability to adapt to changing network conditions and request types

Engineering Contradiction:
Improveload balancing performanceVSAvoidsystem configuration complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements self-service automation through the orchestrator that automatically monitors network conditions, analyzes service requests, and dynamically configures load balancing parameters without manual intervention. The system autonomously adjusts load balancing algorithms, selects appropriate engines, and optimizes resource allocation based on real-time metrics, thereby achieving high performance while keeping operational complexity low through automation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent incorporates feedback mechanisms where the load balancer continuously monitors network performance metrics, traffic patterns, and service quality indicators. This feedback information is fed back to the orchestrator, which dynamically adjusts load balancing configurations and parameters to optimize performance, creating a closed-loop control system that adapts to changing conditions automatically.

Inventive Principle:
Principle #23Feedback

3Productivity

If protocol-specific load balancing is implemented for each service, then service optimization is improved, but device complexity increases due to multiple separate load balancers

Engineering Contradiction:
Improveservice optimizationVSAvoidnumber of load balancers
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent merges multiple protocol-specific load balancing engines into a single unified load balancer architecture. The orchestrator intelligently selects and activates only the required protocol engines based on incoming service requests, combining the advantages of protocol-specific optimization with the resource efficiency of a consolidated system. This reduces the total number of load balancers needed while maintaining service-specific performance optimization.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent segments the load balancing functionality into independent, modular protocol engines (HTTP engine, HTTPS engine, TCP engine, UDP engine, SCTP engine) that can be selectively activated. Each engine is optimized for its specific protocol while being managed by a common orchestrator, allowing fine-grained control over resource allocation and enabling service optimization without requiring separate physical load balancers for each protocol.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12531807B2Method and apparatus for dynamic and efficient load balancing in mobile communication network
Publication Date: 2026.01.20 SAMSUNG ELECTRONICS CO LTD
  • US12531807B2 patent drawing
  • US12531807B2 patent drawing
  • US12531807B2 patent drawing

AI summary

A communication technique that integrates a 5th generation (5G) communication system for supporting a higher data rate after a 4th generation (4G) system with Internet of Things (IoT) technology, and a system thereof is provided. The disclosure can be applied to intelligent services (e.g., smart home, smart building, smart city, smart car or connected car, healthcare, digital education, retail business, security and safety related services, or the like) based on 5G communication technology and IoT-related technology. The disclosure discloses a dynamic and efficient load balancing method and apparatus.