THE TEXAS A&M UNIVERSITY SYSTEM (20240267794). INTELLIGENT CONTROL FOR CELLULAR RADIO ACCESS NETWORKS simplified abstract

INTELLIGENT CONTROL FOR CELLULAR RADIO ACCESS NETWORKS

Organization Name

THE TEXAS A&M UNIVERSITY SYSTEM

Inventor(s)

Srinivas G. Shakkottai of Cypress TX (US)

Woo-Hyun Ko of College Station TX (US)

Harish Kumar Dureppagari of Blacksburg VA (US)

Ujwal Dinesha of College Station TX (US)

Venkata Siva Santosh Ganji of Bryan TX (US)

Dinesh Bharadia of San Diego CA (US)

Raini Y. Wu of San Diego CA (US)

Ushasi Ghosh of San Diego CA (US)

INTELLIGENT CONTROL FOR CELLULAR RADIO ACCESS NETWORKS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240267794 titled 'INTELLIGENT CONTROL FOR CELLULAR RADIO ACCESS NETWORKS

The abstract describes a system that includes a communication network with a cloud portion and an edge portion. The system comprises a cloud controller, a radio access network (RAN), and an edge computing device that is co-located with at least a portion of the RAN. The edge computing device is capable of obtaining network state information, determining control actions to modify operational settings of the RAN, and transmitting these control actions to the RAN within one transmission time interval (TTI).

• The system includes a communication network with cloud and edge portions.
• It consists of a cloud controller, a radio access network (RAN), and an edge computing device.
• The edge computing device is located with a portion of the RAN and can gather network state information.
• It can determine control actions to adjust RAN operational settings.
• The edge computing device can transmit these control actions to the RAN within one transmission time interval (TTI).

Potential Applications: - This technology can be applied in telecommunications networks to improve network efficiency and performance. - It can be used in IoT systems to enhance real-time data processing at the edge. - The system can find applications in autonomous vehicles for quick decision-making based on network state information.

Problems Solved: - Enables real-time network optimization at the edge. - Enhances the responsiveness and efficiency of communication networks. - Facilitates quick decision-making based on network conditions.

Benefits: - Improved network performance and efficiency. - Enhanced real-time decision-making capabilities. - Increased reliability and responsiveness of communication networks.

Commercial Applications: Title: Edge Computing System for Real-Time Network Optimization This technology can be utilized by telecommunications companies to enhance the performance of their networks, leading to better customer experiences and increased operational efficiency. It can also be adopted by IoT companies to improve data processing at the edge, enabling faster and more reliable IoT applications. The system has potential market implications in industries that require real-time decision-making based on network conditions.

Questions about Edge Computing System for Real-Time Network Optimization: 1. How does the edge computing device gather network state information within one transmission time interval (TTI)? 2. What are the specific control actions that the edge computing device can determine to modify operational settings of the RAN?

Frequently Updated Research: Researchers are constantly exploring ways to optimize edge computing systems for real-time network management. Stay updated on the latest advancements in edge computing technology for improved network performance and efficiency.

Original Abstract Submitted

in some examples, a system includes a communication network having a cloud portion and an edge portion. the communication network comprises a cloud controller, a radio access network (ran), and an edge computing device. the edge computing device is co-located with at least a portion of the ran. the edge computing device is configured to, within one transmission time interval (tti) of the ran, obtain network state information of the communication network, determine control actions for modifying operational settings of the ran, and transmit the control actions to the ran.