Dynamic Load Balancing in Wireless Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current network planning for wireless communication networks relies on static approaches that overestimate resources to meet peak traffic demands, leading to inefficiencies and high costs, and existing adaptive beamforming technologies are complex and costly to implement.
Innovation Solution
A method for dynamic load balancing that evaluates cell congestion based on subscriber location information, alters network parameters, and narrows coverage areas to optimize resource allocation and reduce interference, using standard base stations and antenna arrays to adapt to time-varying traffic demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static network planning approaches are used to meet peak traffic demand, then quality of service during busy hours is improved, but resource allocation efficiency deteriorates and costs increase
Solution Approach 1:
The patent implements dynamic load balancing that continuously monitors cell congestion levels and automatically adjusts coverage area parameters in real-time based on actual traffic conditions. This transforms the static network planning approach into a dynamic system that adapts to varying traffic demands throughout the day, optimizing resource allocation efficiency while maintaining quality of service during both peak and off-peak hours
Solution Approach 2:
The system changes network parameters (coverage area boundaries, antenna beam directions, frequency allocations) dynamically based on measured congestion levels. By adjusting these parameters in response to real-time conditions rather than using fixed static configurations, the system achieves both high reliability during peak hours and improved resource efficiency during lower traffic periods
2Reliability
If adaptive beamforming is implemented to reduce interference and optimize coverage, then quality of service is improved, but device complexity and implementation cost increase
Solution Approach 1:
The patent segments the coverage area into multiple adjustable regions with different parameters. Instead of implementing complex adaptive beamforming across the entire cell, the system divides the coverage area into sectors or zones that can be independently optimized with simpler processing, reducing overall device complexity while maintaining quality of service
Solution Approach 2:
The system applies different network parameters and coverage optimizations to specific local areas based on their individual congestion levels and traffic patterns. This localized approach allows quality of service to be improved in congested areas without requiring complex processing across the entire network, thereby reducing overall device complexity
3Productivity
If coverage areas are narrowed to reduce cell congestion, then resource allocation efficiency is improved, but coverage area extends to fewer users
Solution Approach 1:
The patent implements dynamic adjustment of coverage area boundaries based on real-time congestion monitoring. When congestion is high in certain areas, coverage is narrowed to improve resource allocation efficiency. When congestion decreases or traffic patterns change, the coverage area automatically expands to serve more users. This dynamic behavior resolves the contradiction by making the coverage area adaptive rather than fixed
4Productivity
If network parameters are altered dynamically to match traffic demand, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements a self-managing network system that automatically monitors its own congestion levels and adjusts its parameters without external intervention. The network performs self-diagnosis and self-optimization by continuously measuring traffic conditions and autonomously modifying coverage parameters, thereby improving resource allocation efficiency while avoiding the complexity of centralized network management systems
Data Source
AI summary
A method, program, system and apparatus perform dynamic load balancing of coverage areas in a wireless communication network. The dynamic load balancing is performed by evaluating cell congestion based on location information of subscribers in the wireless communication network, collecting network parameters related to the wireless communication network and altering network parameters based on the evaluated cell congestion. After the network parameter is altered, the coverage areas are narrowed. Improvements in cell congestion and quality of server are then determined based on the narrowing of the coverage areas. Altering of the plurality of network parameters and evaluating of the cell congestion are performed continuously until a target quality of service is achieved.