Qin Luo

Title: Innovations in Data Transmission by Qin Luo

Introduction

Qin Luo is a prominent inventor based in Chengdu, China, known for his contributions to reliable data transmission methods. With a total of two patents to his name, he has made significant advancements in the field of aeronautical ad hoc networks and video transmission over lossy satellite links.

Latest Patents

One of his latest patents is a "Reliable data transmission method based on reliable UDP and fountain code in aeronautical ad hoc networks." This invention introduces a method that employs Raptor codes to recover from data loss and avoid retransmission in high loss and high delay channels. It features a lightweight feedback scheme designed to provide reliability and utilizes an improved SNACK scheme to address bandwidth asymmetry. Additionally, a novel sliding window mechanism is proposed to avoid TCP's retransmission ambiguity problem, allowing for more precise round-trip time calculations. A congestion control scheme is also deployed to differentiate losses caused by congestion from those caused by link handoffs, thereby efficiently utilizing available bandwidth. This invention is fully implemented directly on top of UDP in Linux, requiring no changes to the underlying network stack implementations. It is particularly suitable for reliable and efficient data transfer services in harsh aeronautical ad hoc network environments.

Another significant patent is a "Partially reliable transmission method based on hidden Markov model." This invention focuses on enhancing video transmission quality over lossy satellite links. It employs a hidden Markov model (HMM) to forecast retransmission rates and uses the network packet loss rate to reflect network performance. The underlying network packet loss rate serves as the hidden state of the HMM model, while the retransmission rate acts as the observation state. By analyzing historically transmitted data sessions, the invention establishes a relationship between hidden state transition probabilities and emission probabilities, resulting in a robust and efficient retransmission rate prediction. This method takes into account the high bit error rate in satellite network channels and adjusts the reliability level according to channel characteristics, ensuring a balance between instantaneity and quality. Consequently, it guarantees the quality of service (QoS) and quality of experience (QoE) for video streams.

Career Highlights

Qin Luo is affiliated with Sichuan University, where he continues to innovate and contribute to the field of data transmission. His work has garnered attention for its practical applications and effectiveness in challenging environments.

Collaborations

He has collaborated with notable colleagues, including