MIMO User Scheduling via Power-Aware Grouping
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Solution Overview
Problem
Conventional user scheduling methods in MIMO communication systems face challenges in maintaining energy efficiency over time, as they prioritize initial scheduling performance over later data transmission, leading to degraded performance and increased power consumption.
Innovation Solution
A method and apparatus for scheduling user terminals based on power consumption comparisons, where user groups are identified and updated to minimize transmission power, using a scheduler that replaces user terminals within the group if a modified group with lower power consumption is found, ensuring optimal power usage while maintaining signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional channel quality-based user scheduling is used, then initial scheduling performance is excellent, but scheduling freedom for later users is degraded and power consumption increases
Solution Approach 1:
The patent implements dynamic user group formation where users are grouped based on channel correlation rather than fixed scheduling. The base station dynamically adjusts user groups in each time slot based on current channel conditions, allowing the system to adapt to changing conditions and maintain scheduling freedom for later users while managing power consumption effectively
Solution Approach 2:
The patent changes the scheduling parameter from channel quality metrics to channel correlation metrics. By grouping users with highly correlated channels together and allocating different resource blocks, the system transforms the scheduling approach to maintain performance while reducing power consumption through more efficient resource utilization
2Use of energy by moving object
If user groups are frequently updated to minimize power consumption, then energy efficiency improves, but computational complexity increases
Solution Approach 1:
The patent applies partial action by updating user groups only when necessary rather than continuously optimizing. The base station forms user groups based on channel correlation thresholds and maintains these groups across multiple time slots, performing full optimization only when channel conditions change significantly, thus reducing computational complexity while maintaining energy efficiency
Solution Approach 2:
The patent performs preliminary channel correlation assessment and user grouping before actual data transmission. By pre-grouping users based on channel characteristics and maintaining these groups, the system avoids repeated computational optimization during transmission, reducing real-time computational complexity while achieving power consumption minimization
Data Source
AI summary
A method and apparatus for user scheduling in a multi-user multiple input multiple output (MIMO) communication system are provided. The method includes identifying a user group comprising user terminals. The method further includes comparing power consumptions based on the user group. The method further includes scheduling the user terminals based on the comparing.