18554510. Methods, Devices and Computer Program Products for Exploiting Predictions for Capacity and Coverage Optimization simplified abstract (Telefonaktiebolaget LM Ericsson (PUBL))
Contents
- 1 Methods, Devices and Computer Program Products for Exploiting Predictions for Capacity and Coverage Optimization
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Methods, Devices and Computer Program Products for Exploiting Predictions for Capacity and Coverage Optimization - 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 Wireless Network Optimization
- 1.13 Original Abstract Submitted
Methods, Devices and Computer Program Products for Exploiting Predictions for Capacity and Coverage Optimization
Organization Name
Telefonaktiebolaget LM Ericsson (PUBL)
Inventor(s)
Vengatanathan Krishnamoorthi of Linköping (SE)
[[:Category:Henrik Ryd�n of Stockholm (SE)|Henrik Ryd�n of Stockholm (SE)]][[Category:Henrik Ryd�n of Stockholm (SE)]]
Angelo Centonza of Granada (ES)
Methods, Devices and Computer Program Products for Exploiting Predictions for Capacity and Coverage Optimization - A simplified explanation of the abstract
This abstract first appeared for US patent application 18554510 titled 'Methods, Devices and Computer Program Products for Exploiting Predictions for Capacity and Coverage Optimization
Simplified Explanation
The patent application describes methods for a network node to predict and communicate changes in coverage and capacity to another node in a wireless network.
- Predicting modifications in coverage and capacity of cells and reference signal beams
- Sending messages to communicate predicted changes to another network node
Key Features and Innovation
- Prediction of coverage and capacity changes in a wireless network
- Communication of predicted changes to optimize network performance
Potential Applications
The technology can be applied in various wireless network scenarios where predicting and communicating changes in coverage and capacity are crucial for network optimization.
Problems Solved
- Enhances network performance by predicting and communicating changes in coverage and capacity
- Facilitates proactive network management and optimization
Benefits
- Improved network efficiency and performance
- Enhanced network planning and management capabilities
Commercial Applications
- Telecom companies can use this technology to optimize their network performance and enhance user experience.
Prior Art
Prior art related to predicting and communicating changes in coverage and capacity in wireless networks can be found in research papers and patents related to network optimization and management.
Frequently Updated Research
Research on network optimization, predictive analytics, and communication protocols in wireless networks may be relevant to this technology.
Questions about Wireless Network Optimization
How does predicting changes in coverage and capacity benefit wireless networks?
Predicting changes in coverage and capacity allows network nodes to proactively optimize network performance and efficiently manage resources.
What are the potential challenges in implementing predictive analytics in wireless networks?
Challenges in implementing predictive analytics in wireless networks may include data accuracy, algorithm complexity, and real-time processing requirements.
Original Abstract Submitted
Embodiments include methods for a first network node of a wireless network. Such methods include determining a predicted modification in coverage and/or capacity, during a subsequent time period, of one or more of the following served by the first network node: one or more cells, and one or more reference signal (RS) beams. Such methods also include sending, to a second network node of the wireless network, a first message comprising an indication of the predicted modification in coverage and/or capacity. Other embodiments include complementary methods for the second network node, as well as network nodes configured to perform such methods.
