17934155. WI-FI MESH BACKHAUL LINK TX BIASING FOR BETTER END-TO-END THROUGHPUT AND DELAY simplified abstract (QUALCOMM Incorporated)
Contents
- 1 WI-FI MESH BACKHAUL LINK TX BIASING FOR BETTER END-TO-END THROUGHPUT AND DELAY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 WI-FI MESH BACKHAUL LINK TX BIASING FOR BETTER END-TO-END THROUGHPUT AND DELAY - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
WI-FI MESH BACKHAUL LINK TX BIASING FOR BETTER END-TO-END THROUGHPUT AND DELAY
Organization Name
Inventor(s)
Xiaolong Huang of Santee CA (US)
Manish Shukla of Milpitas CA (US)
Srinivas Katar of Fremont CA (US)
Sandip Homchaudhuri of San Jose CA (US)
Simon Jan Brand of Pleasanton CA (US)
Harinder Singh of Saratoga CA (US)
Tejaswini Gollamudi of San Jose CA (US)
Qinfang Sun of Cupertino CA (US)
WI-FI MESH BACKHAUL LINK TX BIASING FOR BETTER END-TO-END THROUGHPUT AND DELAY - A simplified explanation of the abstract
This abstract first appeared for US patent application 17934155 titled 'WI-FI MESH BACKHAUL LINK TX BIASING FOR BETTER END-TO-END THROUGHPUT AND DELAY
Simplified Explanation
The present disclosure focuses on improving E2E mesh throughput by implementing transmission (TX) biasing on the Wi-Fi mesh backhaul. This involves selectively transmitting or preventing transmission of data over the backhaul links based on various airtime utilizations, allowing for better traffic management in Wi-Fi mesh networks.
- Implementation of transmission (TX) biasing on Wi-Fi mesh backhaul
- Selective transmission or prevention of data transmission based on airtime utilization
- Better traffic management in Wi-Fi mesh networks
- Improved E2E mesh throughput
Potential Applications
The technology could be applied in various settings where Wi-Fi mesh networks are used, such as smart homes, offices, public spaces, and industrial environments.
Problems Solved
1. Overloading of backhaul links in Wi-Fi mesh networks 2. Inefficient traffic distribution in mesh networks
Benefits
1. Improved overall network performance 2. Better utilization of available airtime 3. Enhanced user experience in Wi-Fi mesh environments
Potential Commercial Applications
1. Smart home automation systems 2. Enterprise Wi-Fi networks 3. Public Wi-Fi hotspots
Possible Prior Art
One possible prior art could be the use of load balancing techniques in traditional Wi-Fi networks to optimize traffic distribution and network performance.
Unanswered Questions
How does the TX biasing algorithm determine when to selectively transmit or prevent data transmission over the backhaul links?
The specific criteria and thresholds used by the algorithm to make these decisions are not detailed in the abstract.
What impact does TX biasing have on the overall latency and reliability of the Wi-Fi mesh network?
The abstract does not mention how TX biasing may affect latency or reliability in Wi-Fi mesh networks.
Original Abstract Submitted
Aspects of the present disclosure allow for improving E2E mesh throughput by applying transmission (TX) biasing on the Wi-Fi mesh backhaul. Aspects of the disclosure are directed to solutions for reducing traffic load in Wi-Fi mesh networks by applying TX biasing on the Wi-Fi mesh backhaul. Certain aspects are directed to selectively transmitting or preventing transmission of data over the first backhaul link to the first MLD based at least in part on a fronthaul airtime utilization, a first backhaul airtime utilization, or a second backhaul airtime utilization. Doing so allows a root access point or a network controller to apply TX biasing between multi-link operation links towards each repeater so that traffic load on a backhaul-link would not overly occupy the front-haul link because of common channel use by selectively transmitting or preventing transmission of data on the backhaul links.
- QUALCOMM Incorporated
- Xiaolong Huang of Santee CA (US)
- Manish Shukla of Milpitas CA (US)
- Srinivas Katar of Fremont CA (US)
- Sandip Homchaudhuri of San Jose CA (US)
- Simon Jan Brand of Pleasanton CA (US)
- Harinder Singh of Saratoga CA (US)
- Tejaswini Gollamudi of San Jose CA (US)
- Qinfang Sun of Cupertino CA (US)
- H04W28/02