Wireless Scheduling Metric for Interference Management
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently scheduling terminals to balance resource utilization and maintain acceptable service quality, especially as the number of users increases, leading to interference that degrades service quality.
Innovation Solution
A method for determining a scheduling metric based on average power received from terminals, calculating a quality parameter using the formula K~0≈1P1Perm(Q2)Perm(P1-1Q2), and scheduling groups of terminals for simultaneous transmission, where K~0 is directly related to the symbol error rate, ensuring that the metric remains below a threshold for acceptable quality of service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple users are assigned to a single resource to increase utilization, then resource utilization efficiency is improved, but interference between users degrades service quality
Solution Approach 1:
The patent transforms the scheduling decision from a binary selection to a continuous optimization problem by introducing a quality metric based on signal-to-interference ratio. The scheduler dynamically adjusts user grouping based on calculated metrics that quantify the trade-off between resource utilization and service quality, allowing optimal parameter selection for each scheduling interval.
Solution Approach 2:
The patent implements a feedback mechanism where the scheduler continuously calculates quality metrics for potential user groups and uses this information to make informed scheduling decisions. The metric calculation provides feedback on the expected service quality of different scheduling options, enabling the scheduler to select groups that maintain acceptable quality levels while maximizing resource utilization.
2Ease of operation
If a fixed or statistical estimation of quality is used as a scheduling metric, then the scheduling process is simplified, but the accuracy of quality assessment deteriorates
Solution Approach 1:
The patent replaces simple statistical estimation methods with a more sophisticated metric calculation that incorporates signal-to-interference ratio computations. This substitution maintains computational feasibility while significantly improving the accuracy of quality assessment by directly modeling the physical interference relationships between users.
3Adaptability or versatility
If terminals use a wide range of communication protocols, then system versatility is improved, but scheduling complexity increases
Solution Approach 1:
The patent creates a universal scheduling framework that can handle multiple communication protocols through a common quality metric formulation. The metric calculation and user grouping logic remain protocol-agnostic, allowing the same scheduling mechanism to serve diverse protocol requirements without increasing system complexity.
Data Source
AI summary
Terminals in a wireless communication system are scheduled according to a metric based on average power data received from a plurality of terminals at a plurality of base stations. An acceptable metric lies below a threshold value determined by the particular user's quality of service requirement. Groups of terminals are scheduled for simultaneous transmission in respective intervals of time or frequency. An equation for the metric {tilde over (K)}o is defined.