Access Node Scheduling Algorithm Selection for Small Cell Load Balancing
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Solution Overview
Problem
Telecommunication systems face efficiency issues due to excessive load on certain network portions, particularly during high data traffic, which can lead to suboptimal service quality for users.
Innovation Solution
The method involves determining the locations of small cells within an access node's signal area and selecting a scheduling algorithm, such as low, medium, or high proportional fairness scheduling algorithms, to manage data transmission effectively across wireless devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data transmission is managed without load balancing, then system complexity is reduced, but service quality deteriorates due to excessive load on certain network portions
Solution Approach 1:
The patent implements dynamic scheduling that adapts to changing network conditions by monitoring load levels and adjusting scheduling algorithms accordingly. The system transitions between different scheduling modes (proportional fairness, max throughput, round robin) based on real-time network state, making the load balancing mechanism flexible and context-aware rather than static
Solution Approach 2:
The system changes operational parameters (scheduling algorithm selection, resource allocation weights) based on network load conditions. When load exceeds thresholds, the system modifies scheduling parameters to redistribute traffic, effectively using parameter adjustment as a control mechanism to maintain service quality without overhauling the entire system architecture
2Reliability
If load balancing is implemented, then service quality is improved, but system complexity increases
Solution Approach 1:
The patent segments the network into multiple small cells and applies distributed scheduling at each access node rather than centralized control. This segmentation allows independent load balancing decisions at each node, reducing the complexity burden on any single component while collectively improving overall service quality through localized optimizations
Solution Approach 2:
Each access node autonomously performs load balancing decisions based on local network conditions and small cell locations, without requiring constant central coordination. The system enables self-service load management where nodes independently monitor their own load and adjust scheduling accordingly, reducing control overhead and system complexity
3Productivity
If small cells are deployed throughout signal area, then load distribution is improved, but device complexity increases
Solution Approach 1:
The patent makes access nodes universal by enabling them to perform multiple functions: traditional macro cell service provision and small cell coordination. Each access node can simultaneously serve as a macro base station and manage multiple small cells within its coverage area, consolidating functions that would otherwise require separate dedicated infrastructure, thereby improving load distribution without proportionally increasing device complexity
Data Source
AI summary
Systems and methods are described for scheduling transmissions from an access node. A location may be determined for a plurality of small cells within an access node signal area. Based on the determined locations, a scheduling algorithm may be selected for the access node, where the scheduling algorithm may comprise one of a low proportional fairness scheduling algorithm, a medium proportional fairness scheduling algorithm, and a high proportional fairness scheduling algorithm. Data may then be transmitted from the access node to a plurality of wireless devices based on the selected scheduling algorithm.