To address bottlenecks in 5G communications, Intel will implement Intel 100G silicon optical transceivers.
Intel's problems in the processor market are quite important but that does not mean that they continue to expand and develop solutions for other areas. The company has released new data on Intel 100G transceivers. During the European Conference on Optical Communication that has been held in Rome, the company has given new data on products based on silicon photonics specially designed for the acceleration of the transfer of large volumes of data originating from 5G and the IoT applications.
Intel brings silicon photonics technology to 5G communication and the IoT.
These photonic transceivers are specially optimized to accommodate the high-bandwidth needs of next-generation communication infrastructures, while being prepared to withstand inclement weather.
Today's hyperscale cloud customers are already making use of Intel 100G silicon photonic transceivers offering a high-performance data center infrastructure for high-load systems. Taking this technology outside the Data Centers and implementing them on the external edge, which are 5G networks, solves one of the needs of telecommunications providers at the same time that bandwidth needs are solved in the 5G spectrum.
Moving, storing and processing data in the age of mass communication and data transfer is really important. This silicon photonics solution from Intel enables cost-effective, reliable and high-speed connectivity. Going to 5G at the same time that there is a significant increase in data traffic, especially with video transmission, is forcing telecom infrastructures to support a very wide range of solutions that includes mmWaves, MIMIO and densification network. The Intel 100Gs would solve most or all of the bandwidth demands for 5G wireless communications.
The laser integrated in the 100G allows to focus the silicon that does the work of photonic transceiver in the silicon, making it optimal for mass production and its introduction within 5G communications networks. Its mass production will not start until the first quarter of 2019.
Source: TPU
