5G And AI: Creating Enhanced Remodelling Of Network Solutions
Photo by Mika Baumeister on Unsplash
Evolution in networks has marked potential scaling of services and wireless facilities in covering vast geographical regions connecting to the future. With decades of evolution, technological advancements have taken over the business developments. As the out-turn of pandemic situation set foot in the world economy, cloud driven services brought forth efficient executions in re-modelling and improving performance of various sectors.
The future of evolution lies within the implementation of 5G - fifth generation of cellular networks, unbarring the possibilities while creating opportunities for business and society. As per Forrester report on 5G Strategy,
The rollout of 5G is much more evolutionary than the rollout scenarios of previous cellular standards
Set inoculation of such technology in sectors and industries, boosts the potential of implementation in enhancing machine learning, for real-time services and data processing. With advancing years the load of data continues to scale forth from few thousand devices per square kilometer to millions per square kilometer. Such requires high-edge network services that can process vast amounts of data, involving data transfer, security and reliability. 5G does not restricts itself into just a mobile network service having better coverage, however, extends into revolutionizing Artificial Intelligence through almost no-latency and high speed potential in managing real-time cloud networking services.
As stated by the Executive Director at Deloitte Center for Technology, Media & Telecommunications,
5G makes AI better by having the low-latency, high data speeds and also high data device density so you can have all sorts of connected devices
NETWORK SLICING
Software-Defined Networking has enabled enhanced automation in provisioning network resources, inducing a method of creating multiple unique virtualized networks over a common multi-domain infrastructure. Network slicing ensures segregation of tasks and allocating network resources to those with customized confirmations to each slices according to the requirements as in speed, reliability and security.
Use cases of Network Slicing can be categorised into:
Enhanced Mobile Broadband (eMBB)
enabling real-time video streaming and developing advanced mobile broadband use cases as Augmented Reality or Virtual Reality applications.
massive Machine-Type Communications (mMTC)
into providing services to a huge amount of devices in a geographical area connected through IoT, requiring data transfer and processing.
Ultra-reliable Low-Latency Communications (urLLC)
contributing to the stringent requirements as in remote surgery or autonomous vehicles which calls for no latency communications.
Such creates a hypothesis wherein 5G network architecture adapts to the unique requirements in providing power, bandwidth and speed. As per Ericsson,
The greater elasticity brought about by network slicing will help to address the cost, efficiency, and flexibility requirements imposed by future demands.
Reaching horizons of innovating and integrating technological modifications, Machine Learning and Artificial Intelligence puts forth automation of services with availability of cloud computing networks. Thus creating an edge by re-defining network applications in surging the automated utilization of available resources, 5G adds immense possibilities to be explored. Noted by the principal for technology, media and telecommunications at Deloitte, Jack Fritz,
AI really helps in delivering the ultimate performance on the devices and certainly plays a significant role in network management as well as network deployment and planning.