Dynamic Inter-Cell Load Balancing in Mobile Networks
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Solution Overview
Problem
Existing mobile communication systems face challenges in dynamically managing cell loads and inter-cell traffic balance, particularly in high-speed wireless packet data communication systems like LTE and LTE-A, due to static clustering methods that are inefficient and complex, making it difficult to maintain Quality of Service (QoS) and balance traffic across cells.
Innovation Solution
A dynamic inter-cell load balancing method and apparatus that uses a dynamic load balancing scheme, where base stations exchange load information to form clusters with master-slave relationships based on load levels, allowing for efficient load distribution across adjacent cells without affecting existing traffic services, using an overlay clustering structure to manage load balancing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static cluster-based load management method is used, then the system structure is simple and easy to implement, but the system cannot adapt to varying channel conditions and interference environments, making dynamic load balancing difficult
Solution Approach 1:
The patent implements dynamic cluster formation where base stations can join or leave clusters based on real-time load conditions and channel states. The cluster structure is no longer static but adapts continuously through distributed negotiation protocols, allowing the system to respond to varying channel conditions while maintaining manageable complexity through localized decision-making.
Solution Approach 2:
The patent establishes preliminary load thresholds and admission control criteria that trigger cluster formation or dissolution before actual load imbalance occurs. By pre-defining conditions for cluster operations and using distributed negotiation protocols, the system prepares adaptive responses in advance, reducing the complexity of real-time decision-making while maintaining high adaptability.
2Productivity
If a centralized load management scheme is used with a Center Base Station, then load information can be collected and managed centrally, but the load on the center base station increases and cooperation between clusters becomes difficult
Solution Approach 1:
The patent segments the centralized load management function into distributed components where each base station independently manages its own cluster through local negotiation. This eliminates the need for a single center base station to handle all load information, distributing the management burden across multiple nodes while maintaining effective load balancing through standardized interaction protocols.
Solution Approach 2:
The patent introduces standardized X2-interface negotiation protocols as intermediaries that enable cooperative load balancing between clusters without requiring direct centralized control. These protocols act as mediators that facilitate information exchange and coordination between distributed base stations, allowing efficient load balancing while reducing the burden on any single base station.
3Ease of operation
If load balancing is executed frequently to maintain traffic balance, then traffic fairness is improved, but system complexity and signaling overhead increase
Solution Approach 1:
The patent implements periodic load information exchange between base stations at predefined intervals rather than continuous negotiation. This periodic action maintains traffic balance by regularly updating load conditions while avoiding the excessive signaling overhead and system complexity that would result from continuous load balancing operations.
Solution Approach 2:
The patent enables base stations to autonomously make load balancing decisions based on locally received load information without requiring complex centralized coordination for each decision. Each base station serves itself by independently evaluating its own load conditions and autonomously executing handover decisions, reducing overall system complexity while maintaining effective traffic balance.
Data Source
AI summary
A load distribution method and apparatus of a base station are disclosed. The method includes measuring load information associated with the BS; transmitting the measured load information to at least one adjacent BS; receiving load information from the at least one adjacent BS; generating a first cluster including the BS and the at least one adjacent BS; and executing a load distribution operation with respect to the first cluster, wherein at least one BS included in the first cluster is included in a second cluster.