The Role of Communication Technologies in Digital Infrastructure

More than ever before, communication technologies are providing innovative solutions to help address social, environmental and economic challenges by enhancing efficiency and enabling both intensified network usage and more well-informed decisions.

FREMONT, CA: The capacity of digital infrastructure to make it simpler to effectively meet –needs in terms of resource utilisation, collaboration, competence transfer, status verification, privacy protection, security, and safety–is one of its most crucial qualities. By enabling them to supply digital goods and services like health care, education, banking, commerce, governance, and agriculture, the communications business helps other industries. Assisting other businesses in lowering emissions and boosting efficiency, also contributes significantly to the fight against climate change. A world of connected people, machines, things, and places will be digitalized, automated, and programmable, owing to the prowess of future technologies..

Future digital networks will create traffic not only from human communication but also from connected, intelligent machines, and artificial intelligence-enhanced bots (AI). The amount of traffic produced by individuals will gradually decline as the amount produced by machines and computer vision systems, such as autonomous vehicles, drones, and surveillance systems, increases.

Even more advanced communication is needed between the machines and other "things" that make up the Internet of Things (IoT). For instance, dynamic network interaction is required for connected, intelligent machines. To create ubiquitous cyber-physical systems, which connect physical things to collaborative digital twins, sensor data will be used. Support for the transfer of sense modalities including feelings and scent will also be included in future network capabilities. The network platform functions as a cost-effective, nearly infinite scalability fabric for universal connectivity. Beyond communication services, it can expose features like embedded compute and storage as well as a distributed intelligence that provides users with knowledge and reasoning.

Advanced cyber-physical systems are starting to emerge as physical and digital realities combine more and more. These systems are made up of people, actual physical items (such as machines and other objects), processes, networking, computation, and their interactions. Their main goal is to give individuals, groups, and businesses complete transparency so that they may manage resources and locations and reap enormous efficiency gains. Cyber-physical systems' ability to assist planners in streamlining the use of resources–such as energy and materials–is a prime illustration of this. With embedded sensing, actuation, and computing capabilities, there will soon be hundreds of billions of connected physical devices that continuously produce useful data. The digital twins of physical objects can be made using the sensor data those objects produce. Digital twins that work together will be able to control how the physical objects they represent interact with one another.

Sensor data fusion, or integrating data from various sources to generate an accurate digital representation of the physical environment, is required to digitalize the real environment in which the physical things interact. By merging network-based positioning data with data from other sensors, such as cameras and inertial measurement units, high-precision positioning is one example of sensor data fusion. Future systems will eventually be able to use all of the interconnected digital twins and digital representations of the environment to combine them into a comprehensive digital image of everything.