Free-D And Kyoto University Graduate School In Japan Successfully Carried Out Ultra HD Video Wireless Transmission Within Tens Of Kilometers

Date:Aug 31, 2020


Wi-RAN 4K_video_test

On August 25th, Free-D successfully conducted an experiment with a research team at the Graduate School of Kyoto University. By combining wide-area wireless Wi-RAN for IoT data transmission and control with original compression technology, The wireless distribution of ultra-high-definition video with almost no degradation was announced. According to the company, it is possible to prove the possibility of transmitting ultra-high-definition video even in a wide area of tens of kilometers.

It aims to promote the creation of new businesses in various fields such as smart cities and telemedicine by transmitting and distributing high-definition moving images in a vast area of tens of kilometers.

In the same experiment, Free-D's unique video compression technology can provide ultra-high-definition video, which is almost 1/3 to 1/5 of the data transmission volume of the existing compression technology, and its transmission performance is almost inferior whether it is wired or wireless. Will be reduced, and the maximum rate is about Mbps. Combined with the communication system developed by Kyoto University, the system has a proven transmission distance of up to 100 km at a transmission speed. This is the world's first successful distribution of ultra-high-definition video on Wi-RAN, a wide-area wireless communication system.

Various systems of wide-area wireless communication systems for the Internet of Things are currently commercialized under the name LPWA, but the transmission rate is as low as tens of kbps, and the transmission area is several kilometers wide, but it can transmit ultra-high-definition video. undone. In addition, mobile phone systems such as 4G networks and 5G networks can be bought on the market as systems for transmitting moving images, but require usage fees, and the communication area that can be transmitted over a wide area is several kilometers like LPWA. It is said.

The Wi-RAN used in this experiment was developed by Kyoto University, Japan. It is assumed that the big data structure can be used in the IoT era. It can collect and control data from thousands of devices (such as various sensors, meters, and monitors). Next generation wireless communication system.

Standardized internationally (IEEE) and domestic (ARIB), using the VHF frequency band, wirelessly up to 100 kilometers, 9 megabits per second data transmission, and can use multi-level relay to build wide area communication The internet. In addition, there is no need for large-scale installation, just connect the wireless device to the power supply and turn on the switch to automatically connect to the communication network, so a wide area wireless communication network can be established without cost or time. However, it is impossible to achieve ultra-high-definition video transmission at 9 megabits per second.

Free-D has developed a high-quality video compression technology that provides ultra-high-definition video at a data transfer rate of 3 to 5 megabits per second without degrading image quality. Dynamically and statically separate each of the multiple objects present in the video, and use unique logic and distributed processing to extract and create I, P, and B frames to effectively process video data. As a result, it can be said that the ultra-high-definition video distribution has been successfully completed by operating on the Wi-RAN system, because compressed image data can be generated with almost no reduction in image quality, and it is lighter than the existing compression technology.

In the future, in areas without network lines (in remote areas such as mountainous areas, suburbs, etc.), if heavy rains, typhoons, earthquakes and other disasters occur, wireless communication networks can be deployed urgently. It is expected to be used for disaster prevention and mitigation, such as improving the image quality of network cameras installed in towns where the image quality cannot be collected and saved.