AP-Based Action Triggering in Distributed Massive MIMO
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Solution Overview
Problem
Distributed massive MIMO systems face challenges in power control and link adaptation due to uncontrolled interference and high-Doppler phenomena, leading to slow adaptation and potential beam failures, as conventional mechanisms rely on long-term statistics and central controller coordination.
Innovation Solution
Implementing AP-based action triggering, where each access point determines instantaneous link performance metrics and performs network adapting actions when thresholds are met, enabling fast and localized adaptation to anomalies in the radio environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional power control and link adaptation mechanisms are used based on long-term statistics and central controller coordination, then system stability is maintained, but adaptation speed becomes slow and cannot respond to fast fluctuations in interference and Doppler phenomena
Solution Approach 1:
The patent segments the centralized power control and link adaptation functionality into distributed individual AP decisions. Each AP independently determines instantaneous link performance metrics and performs network adapting actions locally when thresholds are met, eliminating the need for centralized coordination and enabling faster adaptation to changing radio conditions.
Solution Approach 2:
Each access point is empowered to autonomously monitor its own link performance metrics and trigger adapting actions based on pre-configured thresholds without requiring central controller intervention. This self-service mechanism enables immediate local adaptation to interference and Doppler effects while maintaining overall system coordination.
2Reliability
If centralized power control is performed by the central controller based on long-term statistics, then comprehensive system-wide optimization is achieved, but response time to sudden interference and Doppler events becomes excessively long
Solution Approach 1:
The system pre-configures threshold values for link performance metrics at each AP before operation. When instantaneous metrics cross these pre-set thresholds, the AP immediately triggers adapting actions without waiting for central controller processing, significantly reducing response time to sudden interference and Doppler phenomena while maintaining reliable service.
3Productivity
If slow adaptation mechanisms are used based on long-term statistics, then system stability is maintained, but unnecessary beam failures are declared and network resources are wasted on recovery procedures
Solution Approach 1:
Each AP continuously monitors instantaneous link performance metrics and compares them against pre-configured thresholds in real-time. This feedback mechanism enables immediate detection of deteriorating link conditions and triggers adapting actions before beam failures occur, preventing unnecessary recovery procedures and optimizing resource utilization by maintaining active beams longer.
Data Source
AI summary
There is provided mechanisms for AP-based action triggering in a distributed massive MIMO system. The distributed massive MIMO system comprises a plurality of APs. The APs are controlled by a central controller and jointly serve UEs. A method is performed by one of the APs. The method comprises determining, per coherence block, at least one instantaneous link performance metric by analyzing uplink signals received from the UEs. The at least one instantaneous link performance metric quantifies channel conditions of one of the UEs for the coherence block. The method comprises performing, for the coherence block and when a comparison between the at least one instantaneous link performance metric for the coherence block and a pre-defined threshold satisfies a trigger condition, a network adapting action for said one of the UEs.