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| Rishi Raj, Teoco |
Wireless networks, such as 5G, is advancing to provide faster throughput and minimizing latency. Networks are getting more complex and it needs smarter ways to deliver an optimum capability of the network in reality.
Therefore, it is critical to understand the need for Artificial Intelligence (AI) and Quantum computing (QC) within the Network Architecture. This is to provide the required capability for beam management, resource management, and interference management.
The subsequent wireless network needs to be self-predictive and proactive to handle futuristic applications like holographic communication, haptic feedback, or any latency dependent application. Radio frequency itself is a dynamically changing component, therefore rather having fixed rules it should prefer to have a dynamically adaptable network.
Today, the main challenge in the modern wireless network is to have constant knowledge of the radio environment - including multipath propagation of MIMO channels - especially with the introduction of Narrow beams in higher frequency (tracking of beams will be a challenge). But with an increasing number of beams and different kind of users - apart from mobile users like vehicle to vehicle communication, holographic communication, and haptic feedback - it will be very difficult just with the CSI (Channel State Information) and SRS (Sounding Reference Signal) reports constantly from the devices with changing radio environment.
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