CPE Throughput Routing for 5G Network Load Balancing
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Solution Overview
Problem
Conventional load balancing methods fail to distribute load among connected CPEs, leading to server overload and transmission failures due to simultaneous high data transmission, especially in 5G networks.
Innovation Solution
A load balancing system where CPEs communicate with each other and a load balancing equipment adjusts signal transmission based on throughput calculations to redistribute data among CPEs, using rule-based and quantum annealing algorithms to optimize network bandwidth utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional load balancing methods are used, then server overload issues cannot be solved, but network bandwidth utilization efficiency is low
Solution Approach 1:
The system segments the network into multiple CPE domains that can independently manage and share load. Each CPE becomes an autonomous unit that can be individually monitored and controlled, allowing load to be distributed across multiple segments rather than concentrated on a single server
Solution Approach 2:
A load balancing controller is introduced as an intermediary device that monitors throughput of multiple CPEs and dynamically routes traffic. This mediator coordinates load distribution among CPEs, preventing server overload while optimizing bandwidth utilization across the network
2Adaptability or versatility
If CPEs are not connected to each other, then load cannot be shared among CPEs, but system complexity is reduced
Solution Approach 1:
The load balancing controller performs multiple functions: monitoring throughput, calculating optimal routing, generating control tables, and managing load distribution. This multi-functional device enables load sharing across CPEs without requiring complex peer-to-peer communication infrastructure
Solution Approach 2:
The controller acts as a central intermediary that simplifies CPE interconnections. Rather than requiring direct communication between all CPE pairs, the mediator handles all load balancing operations, reducing system complexity while enabling full load sharing capability
Data Source
AI summary
A load balancing system and method is provided. The load balancing system includes a core network, CPEs (customer premise equipments), user equipments, and a load balancing equipment. The CPEs receive signals from the core network and connect to each other through a network topology. The user equipments are connected to the CPEs. The load balancing equipment is connected to one CPE, and the load balancing equipment confirms a throughput limit of each CPE and includes a data analysis module and a processing unit. The data analysis module receives network parameters between the CPEs and the user equipments, and calculates premise throughputs of the CPEs. The processing unit generates a route control table according to the premise throughputs. According to the route control table, the CPEs adjusts signal transmission between the CPEs and the user equipments to balance the premise throughputs of the CPEs.