Network Resource Dimensioning for QoS and Spectrum Efficiency
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Solution Overview
Problem
Network resource management faces challenges in balancing cost reduction with quality of service (QoS) considerations, leading to potential degradation in user experience and inefficient resource allocation.
Innovation Solution
The method involves computing capacity for each cell in a network based on traffic utilization thresholds, using analytical modeling or simulation to determine throughput for different traffic classes, and upgrading resources by deploying new cells or increasing spectrum allocation to meet performance thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are conservatively allocated to ensure high levels of QoS without fine-grain QoS considerations, then QoS is improved, but resource efficiency deteriorates due to wasteful surplus investment
Solution Approach 1:
The patent applies local quality by differentiating resource allocation across multiple traffic classes (e.g., guaranteed bit rate traffic, maximum bit rate traffic, enhanced service bit rate traffic, best effort traffic). Each traffic class receives network resources according to its specific QoS requirements rather than uniform allocation, ensuring that critical traffic gets priority while less critical traffic uses remaining capacity, thus improving overall resource efficiency while maintaining required QoS levels
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting network resource allocation based on traffic utilization thresholds. When traffic utilization exceeds predefined thresholds for specific traffic classes, the system modifies allocation parameters (such as bandwidth, spectrum, or cell capacity) to meet QoS requirements. This dynamic adjustment prevents both over-provisioning and under-provisioning, optimizing the balance between QoS and resource efficiency
2Loss of energy
If cost reduction is prioritized while disregarding QoS parameters, then resource efficiency is improved, but user quality of experience deteriorates
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring traffic utilization across different classes and comparing it against predefined thresholds. When utilization exceeds thresholds, the system triggers resource allocation adjustments. This closed-loop feedback ensures that QoS requirements are met while avoiding unnecessary resource allocation, thereby preventing degradation of user quality of experience while maintaining cost efficiency
Solution Approach 2:
The patent applies dynamics by making resource allocation flexible and adaptive rather than static. The system dynamically adjusts network resources based on real-time traffic conditions and QoS requirements, allowing cost-efficient operation during low-demand periods while automatically scaling resources up when QoS thresholds are at risk, thus preventing quality of experience degradation without persistent over-provisioning
Data Source
AI summary
Aspects include determining whether a utilization of wireless spectrum associated with a guaranteed class of traffic in a network is greater than a first threshold, responsive to the determining indicating that the utilization of the wireless spectrum associated with the guaranteed class of traffic is greater than the first threshold, causing an upgrade of a capacity in the network, and responsive to the determining indicating that the utilization of the wireless spectrum associated with the guaranteed class of traffic is not greater than the first threshold: determining a throughput for a non-guaranteed class of traffic for each cell of a plurality of cells of the network, and responsive to determining that the throughput for the non-guaranteed class of traffic for at least one cell of the plurality of cells is less than a second threshold, causing the upgrade of the capacity in the network. Other embodiments are disclosed.