Backhaul Load Balancing via Physical Link Type Algorithms
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Solution Overview
Problem
Current methods for distributing backhaul resource loads among radio base stations fail to effectively address congestion in aggregation links, leading to throughput decreases for radio terminals, as they only consider load information from access links and not the entire backhaul network.
Innovation Solution
A radio base station system that determines network load information across the entire backhaul, including access and aggregation links, and executes traffic load distribution based on this comprehensive information, using estimation units to calculate Packet Loss Rate and Delay Variation to set S1 network load indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If load distribution is executed based only on access link load information, then the distribution process is simple, but aggregation link congestion occurs and throughput decreases
Solution Approach 1:
The backhaul network is segmented into multiple links (access link, aggregation link, metro link) with distinct load characteristics. The patent applies different determination algorithms for each link type, allowing targeted optimization without overwhelming complexity in the overall system.
Solution Approach 2:
The patent changes the parameters used for load determination based on the physical type of backhaul line. Different algorithms (e.g., packet loss rate, delay variation, bandwidth utilization) are selected according to the specific link type, improving accuracy without uniformly increasing complexity across all links.
2Measurement precision
If comprehensive backhaul network load information is collected, then load distribution accuracy improves, but system complexity increases
Solution Approach 1:
The patent applies different determination algorithms to different parts of the backhaul network based on their specific characteristics. Access links use one algorithm while aggregation links use another, allowing high measurement precision locally without requiring a single complex system-wide solution.
Solution Approach 2:
The system dynamically selects determination algorithms based on the physical type of backhaul line and current network conditions. This dynamic adaptation allows the system to maintain high measurement accuracy while keeping complexity manageable through context-dependent algorithm selection.
Data Source
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AI summary
[Problem] To provide a wireless base station, a traffic load-balancing method, and a traffic load-balancing program that make it possible to more reliably avoid backhaul congestion and decreases in wireless-terminal throughput. [Solution] This wireless base station includes the following: a setting unit (14) that sets network load information that indicates the traffic load on a backhaul between the wireless base station and a core network; and an execution unit (15) that, on the basis of the network load information set by the setting unit and network load information received from a neighboring wireless base station, executes a process that balances the traffic load between the wireless base stations.