View source for 17946662. ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR DECIDING CELL ON OR OFF THRESHOLD BASED ON TRAFFIC simplified abstract (Samsung Electronics Co., Ltd.)

=ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR DECIDING CELL ON OR OFF THRESHOLD BASED ON TRAFFIC=


==Organization Name==

[[:Category:Samsung Electronics Co., Ltd.|Samsung Electronics Co., Ltd.]]


[[Category:Samsung Electronics Co., Ltd.]]

==Inventor(s)==

[[:Category:Minsuk Choi of Suwon-si (KR)|Minsuk Choi of Suwon-si (KR)]][[Category:Minsuk Choi of Suwon-si (KR)]]

[[:Category:Kyungrae Kim of Suwon-si (KR)|Kyungrae Kim of Suwon-si (KR)]][[Category:Kyungrae Kim of Suwon-si (KR)]]

[[:Category:Hyokyung Woo of Suwon-si (KR)|Hyokyung Woo of Suwon-si (KR)]][[Category:Hyokyung Woo of Suwon-si (KR)]]

[[:Category:Seowoo Jang of Suwon-si (KR)|Seowoo Jang of Suwon-si (KR)]][[Category:Seowoo Jang of Suwon-si (KR)]]

[[:Category:Hongjun Jang of Suwon-si (KR)|Hongjun Jang of Suwon-si (KR)]][[Category:Hongjun Jang of Suwon-si (KR)]]

==ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR DECIDING CELL ON OR OFF THRESHOLD BASED ON TRAFFIC - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17946662 titled 'ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR DECIDING CELL ON OR OFF THRESHOLD BASED ON TRAFFIC

==Simplified Explanation==

The patent application describes an electronic device that can improve network performance by dynamically turning off a cell in a base station based on network situation data and a trained learning model. Here are the key points:

* The electronic device includes a communication circuit, memory, and at least one processor.
* The processor obtains data related to the network situation of a base station from the communication circuit.
* Based on the network situation data, the processor calculates a performance indicator value using a performance indicator.
* The processor then trains a learning model based on the calculated performance indicator value.
* Using the trained model, the processor determines an off threshold of traffic for turning off a cell in the base station.
* The determined off threshold is transmitted to the base station via the communication circuit.

== Potential Applications ==
This technology has potential applications in the field of telecommunications and network management. It can be used in various scenarios where optimizing network performance is crucial, such as:

* Mobile network operators can use this technology to dynamically manage network traffic and improve overall network performance.
* It can be applied in areas with high network congestion to selectively turn off cells and redistribute traffic to less congested cells.
* The technology can be used to optimize resource allocation in wireless networks, ensuring efficient utilization of network resources.

== Problems Solved ==
The technology addresses several problems in network management and optimization:

* Network congestion: By dynamically turning off cells based on network situation data, the technology helps alleviate network congestion and improve overall network performance.
* Inefficient resource allocation: The learning model and performance indicator value calculation enable more accurate determination of off thresholds, leading to better resource allocation and utilization.
* Manual configuration limitations: The technology automates the process of determining off thresholds, eliminating the need for manual configuration and allowing for real-time adjustments based on network conditions.

== Benefits ==
The use of this technology offers several benefits:

* Improved network performance: By dynamically turning off cells, network congestion can be reduced, leading to improved network performance and user experience.
* Efficient resource allocation: The technology optimizes resource allocation by determining off thresholds based on network situation data, ensuring efficient utilization of network resources.
* Real-time adjustments: The learning model and automated process allow for real-time adjustments to off thresholds, enabling quick response to changing network conditions.


==Original Abstract Submitted==

An electronic device is provided. The electronic device includes a communication circuit, a memory configured to store a learning model, and at least one processor, wherein the at least one processor is configured to obtain data related to a network situation of a base station from the communication circuit, calculate a performance indicator value related to network performance according to a performance indicator, based on the data related to the network situation, train the model, based on the performance indicator value calculated according to the performance indicator, determine an off threshold of traffic for turning off a cell, based on the trained model, and transmit the determined off threshold to the base station via the communication circuit.



[[Category:H04W16/22]]
[[Category:H04B17/391]]
[[Category:H04B17/11]]
[[Category:H04B17/21]]