Telefonaktiebolaget lm ericsson (publ) (20240291520). AP-BASED ACTION TRIGGERING IN A DISTRIBUTED MASSIVE MIMO SYSTEM simplified abstract
Contents
- 1 AP-BASED ACTION TRIGGERING IN A DISTRIBUTED MASSIVE MIMO SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AP-BASED ACTION TRIGGERING IN A DISTRIBUTED MASSIVE MIMO SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Distributed Massive MIMO Systems
- 1.13 Original Abstract Submitted
AP-BASED ACTION TRIGGERING IN A DISTRIBUTED MASSIVE MIMO SYSTEM
Organization Name
telefonaktiebolaget lm ericsson (publ)
Inventor(s)
Erik G. Larsson of Linköping (SE)
AP-BASED ACTION TRIGGERING IN A DISTRIBUTED MASSIVE MIMO SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240291520 titled 'AP-BASED ACTION TRIGGERING IN A DISTRIBUTED MASSIVE MIMO SYSTEM
Simplified Explanation
The patent application describes mechanisms for triggering actions in a distributed massive MIMO system based on APs. The system includes multiple APs controlled by a central controller serving UEs. The method involves analyzing uplink signals from UEs to determine link performance metrics and adapting network actions based on predefined thresholds.
- Distributed massive MIMO system with multiple APs controlled by a central controller
- Analysis of uplink signals to determine link performance metrics
- Network actions triggered based on predefined thresholds
Key Features and Innovation
- Centralized control of multiple APs in a distributed massive MIMO system
- Real-time analysis of uplink signals to assess link performance metrics
- Adaptive network actions triggered based on predefined thresholds
Potential Applications
The technology can be applied in various industries such as telecommunications, IoT, and smart cities for efficient network management and optimization.
Problems Solved
The technology addresses the challenge of optimizing network performance in a distributed massive MIMO system by dynamically adapting network actions based on real-time link performance metrics.
Benefits
- Improved network efficiency and performance
- Enhanced user experience with optimized network resources
- Dynamic adaptation to changing network conditions
Commercial Applications
Title: "Dynamic Network Optimization in Distributed Massive MIMO Systems" The technology can be commercialized by network operators, IoT providers, and smart city developers to enhance network performance and user experience, leading to increased customer satisfaction and loyalty.
Prior Art
Readers can explore prior research on distributed massive MIMO systems, network optimization, and adaptive network actions in wireless communication technologies to gain a deeper understanding of the technology's evolution and current state.
Frequently Updated Research
Researchers are continually exploring advancements in distributed massive MIMO systems, network optimization algorithms, and adaptive network management strategies to further enhance network performance and efficiency.
Questions about Distributed Massive MIMO Systems
How does the centralized control of APs improve network performance in a distributed massive MIMO system?
Centralized control allows for coordinated actions among APs, leading to optimized resource allocation and improved network efficiency.
What are the potential challenges in implementing real-time network adaptation based on link performance metrics?
One challenge could be ensuring timely and accurate analysis of link performance metrics to trigger appropriate network actions effectively.
Original Abstract Submitted
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.
