18470624. TECHNOLOGIES TO SUPPORT EXTENDED REALITY NETWORK TRAFFIC simplified abstract (Intel Corporation)
Contents
- 1 TECHNOLOGIES TO SUPPORT EXTENDED REALITY NETWORK TRAFFIC
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TECHNOLOGIES TO SUPPORT EXTENDED REALITY NETWORK TRAFFIC - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
TECHNOLOGIES TO SUPPORT EXTENDED REALITY NETWORK TRAFFIC
Organization Name
Inventor(s)
Rafia Malik of Portland OR (US)
Sudeep Palat of Cheltenham (GB)
Marta Martinez Tarradell of Hillsboro OR (US)
Youn Hyoung Heo of San Jose CA (US)
TECHNOLOGIES TO SUPPORT EXTENDED REALITY NETWORK TRAFFIC - A simplified explanation of the abstract
This abstract first appeared for US patent application 18470624 titled 'TECHNOLOGIES TO SUPPORT EXTENDED REALITY NETWORK TRAFFIC
Simplified Explanation
The present disclosure provides mechanisms to improve the communication of critical data, such as XR data, CG data, URLLC data, IoT data, and/or any other high priority data.
- Enhancements to buffer status reporting mechanisms
- Packet, PDU, and/or SDU discard mechanisms
- Mechanisms to resolve issues related to SFN wraparound
- Network congestion detection mechanisms
Potential Applications
This technology could be applied in various industries where real-time communication of critical data is essential, such as healthcare (remote surgery, patient monitoring), autonomous vehicles, smart cities, and industrial automation.
Problems Solved
1. Improved communication reliability and efficiency for critical data transmission. 2. Enhanced network performance and reduced latency for time-sensitive applications.
Benefits
1. Increased data transmission speed and reliability. 2. Better management of network congestion. 3. Enhanced overall system performance and user experience.
Potential Commercial Applications
Optimizing network performance for cloud gaming services in order to provide a seamless gaming experience for users.
Possible Prior Art
One possible prior art could be the use of Quality of Service (QoS) mechanisms in networking to prioritize certain types of data traffic over others based on their importance or urgency.
What are the potential security implications of implementing these mechanisms?
Implementing these mechanisms could potentially lead to improved security by ensuring that critical data is prioritized and delivered in a timely manner. However, there could also be security risks associated with network congestion detection mechanisms, as they may inadvertently expose vulnerabilities in the network infrastructure.
How scalable are these mechanisms for large-scale networks?
These mechanisms are designed to enhance communication of critical data in various types of networks, including large-scale networks. However, the scalability of these mechanisms would depend on the specific network architecture and infrastructure in place. Further testing and optimization may be required to ensure seamless integration into large-scale networks.
Original Abstract Submitted
The present disclosure provides various mechanisms to improve the communication of critical data, such as extended reality (XR) data, cloud gaming (CG) data, ultra-reliable low latency communications (URLLC) data, internet of things (IoT) data, and/or any other type of high priority data/traffic. The described mechanisms include enhancements to buffer status reporting mechanisms; packet, protocol data unit (PDU), and/or service data unit (SDU) discard mechanisms; mechanisms to resolve issues related to system frame number (SFN) wraparound; and network congestion detection mechanisms. Other embodiments may be described and/or claimed.
