Company Filing History:
Years Active: 2019-2020
Title: Qitao Song: Innovator in Telecommunications
Introduction
Qitao Song is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of telecommunications, particularly in the area of signal strength prediction and wireless network optimization. With a total of 2 patents, his work showcases the integration of deep learning techniques in enhancing telecommunication systems.
Latest Patents
One of Qitao Song's latest patents is titled "Predicting received signal strength in a telecommunication network using deep neural networks." This invention involves a computer-implemented method that utilizes a convolutional neural network to predict the received signal strength based on geographic data and antenna information. The method includes receiving geographic data, inputting it into the neural network, and outputting the predicted signal strength for various locations within a geographic area.
Another notable patent is "System and method for deep learning and wireless network optimization using deep learning." This patent describes a neural network trained with deep reinforcement learning techniques to adjust cell parameters of a wireless network. The process involves generating experience tuples and updating the neural network based on the actions taken, which are evaluated through local and global rewards.
Career Highlights
Qitao Song has worked with several leading companies in the telecommunications industry. He has been associated with Future Wei Technologies, Inc. and Huawei Technologies Co., Limited. His experience in these organizations has allowed him to develop innovative solutions that address complex challenges in wireless communication.
Collaborations
Throughout his career, Qitao has collaborated with notable professionals in the field, including Jin Yang and Yongxi Tan. These collaborations have contributed to the advancement of his research and the successful implementation of his inventions.
Conclusion
Qitao Song's contributions to telecommunications through his innovative patents and collaborations highlight his expertise in the field. His work continues to influence the development of advanced telecommunication systems, showcasing the importance of integrating deep learning in technology.