Forward Link Admission Control Using Measured Delay Metrics
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Solution Overview
Problem
In 1xEV-DO Rev. A wireless communication networks, traditional admission control metrics such as residual time slots no longer accurately reflect the number of users being served due to multi-user packets, leading to potential resource over-utilization and poor service integrity, especially for real-time and best effort applications.
Innovation Solution
Admission control is performed based on metrics such as measured delay per data unit, data throughput, and channel quality metrics, allowing for independent management of Quality of Service (QoS) flow categories and consideration of mutual impacts between categories to ensure efficient resource allocation and maintain service integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If forward link admission control is performed based on residual time slots in 1xEV-DO Rev. A, then the number of users served can be increased, but resource over-utilization occurs and service integrity deteriorates
Solution Approach 1:
The patent changes the admission control parameter from residual time slots to measured delay per data unit. This parameter transformation allows the system to accurately reflect actual service quality and resource utilization status, preventing over-allocation while maintaining high user capacity. The delay metric directly correlates with service integrity, enabling dynamic adjustment of admission thresholds based on real-time channel conditions.
2Productivity
If multi-user packets are used to increase data transmission efficiency, then throughput is improved, but traditional admission control metrics become inaccurate
Solution Approach 1:
The patent implements a feedback mechanism where the base station measures actual delay per data unit for each mobile station and uses this measured value as the admission control metric. This feedback loop ensures that admission decisions are based on real-time performance data rather than theoretical time slot allocations, maintaining metric accuracy even when multi-user packets cause variable transmission patterns. The measured delay directly reflects the impact of multi-user packet bundling on service quality.
3Productivity
If system resources are over-allocated to maximize simultaneous active users, then user capacity increases, but real-time applications experience excessive delay
Solution Approach 1:
The patent transforms the admission control parameter from static time slot allocation to dynamic measured delay per data unit. This parameter change enables the system to directly monitor and control the impact on real-time applications. When delay metrics indicate degradation, admission control automatically reduces user allocation, preventing excessive delay while maintaining maximum sustainable user capacity.
4Reliability
If admission control is performed to protect system resources, then service integrity is maintained, but the number of simultaneous active users is reduced
Solution Approach 1:
The patent makes admission control dynamic by using measured delay per data unit that continuously adapts to changing channel conditions and traffic patterns. This dynamic approach allows the system to maintain service integrity thresholds while maximizing user capacity at each moment. When channel conditions improve, more users can be admitted; when conditions deteriorate, admission is restricted, creating an optimal balance between reliability and productivity.
Data Source
AI summary
Admission control is performed on a forward link shared packet data channel based on the measured delay per unit of data transmitted on the channel or the data throughput on the channel. In another embodiment, statistical analyses of channel quality metrics received at a base station are compared to the data rate used to serve mobile stations on the packet data channel to perform admission control. In any case, admission control may be performed for a new call setup request, hard handoff or virtual handoff. Admission control may be performed independently for a plurality of Quality of Service (QoS) flow categories, such as real time, best effort, rate sensitive, or QoS categories defined by cost. Users may be allocated among QoS flow categories as necessary to maintain performance.