Applications and use cases of 5G for IoT solutions, AR and VR

4G LTE is already getting a hype. We can estimate that cellular operators will keep on developing this technology for next 3-4 years.  On the other hand, development of 5G is in talks. Moreover, estimation states that the year 2020 will mark as the rolling out of 5G technology.

The smartphone companies engaging in building phones that are 4G compatible. While, we expect 5G to be in the market soon, these manufacturers are now trying to embed the compatibility for 5G in the new generation of smartphones. There are several applications and industries that will be benefited by this technology including mobile broadband providers, ultra-reliable and low-latency communications; and massive machine-type communications providers.

Applications of 5G

Compared with the current 4G LTE technology, 5G is targeting to reach both High speed (1 Gbps) and low latency (1ms or less).

What drives the necessity of this emerging technology? The answer is ‘need for speed’ and ‘internet of things popularly know as IoT’. A generation has evolved demanding faster, higher-capacity networks that can deliver video and other content-rich services.

There are few of the applications that won’t be able to survive with the current LTE technology like industrial automation and utility services, vehicle-to-vehicle and vehicle-to-infrastructure transportation, home automation, AR/VR and many more. The rise of 5G is inevitable. It will be a heterogeneous technology that ensures the latency, throughput and capacity requirements. Moreover, network slicing would be the major feature of 5G technology.

By 2025, Huawei forecasts that there will be over 270 networks worldwide where there are local or regional areas with full 5G capability.

Mobile broadband

The broadband evolution has allowed the users to experience faster data speeds and lower latency. However, this has increased the demand of services and mobile applications that are data-heavy. Nevertheless, the transfer of the massive data by the user has revolutionized the ‘cloud’ technology. The speed and latency to transfer the data, however, still needs development. Many other data intensive applications both consumer-oriented and business to business are also on the verge of emerging. Moreover,  illustrations include virtual and augmented reality, 3D and ultra-HD video and haptic feedback applications.

Internet of Things

The wireless industry has significantly identified IoT-based solutions in the recent times. Vodafone’s project to develop a “Cellular IoT” (CIoT) open standard is one example. However, there are two types of IoT solutions and  applications that would revolutionize the 5G technology.]

• Massive machine-type communications

The attributes of  M-MTC type of applications are massive volume of connections, low cost devices for wireless sensor networks, connected home, smart metering, smart agriculture and many more. These type of application, however, would be feasible even through the 4G networking. But when it comes to huge number of connections with relatively efficient connectivity, we definitely would like to think beyond the existing technology.

• Task critical applications

This is mainly a machine-to-machine connection where high reliability and low latency are essential factors. Moreover, examples of such applications are connected cars, home automation and remote surgeries (healthcare).

How 5G will revolutionize way of communication.?

Smart Cities

Smart cities will have huge demand of data communication in multiple domains like public transportation, emergency services, water management, etc,.  However, integration of these data simulation with IT system leads to  better planning and real-time. This results in the automated responses to changing situations.

Smart City applications needs an integration with deep network sensors. Though, for effective data flow and communication through this sensor networks, it is necessary to have a ubiquitous connectivity through a network capable of supporting multiple data flows with varying performance requirements, as efficiently and reliably as possible.

Read more here...