The Changing Face of Telecommunications

Agreed. The title has too many nouns! Each of the nouns is important though, as we will find out. Allow me to explain. So this article is a profile of Cohere Technologies . Cohere features in our report “AI and RAN – How fast will they run”. As you would now guess, Cohere Technologies specializes in using the Delay-Doppler channel model. It uses this model in software to MU-MIMO enable existing FDD and TDD networks. What does the model do? This model leverages AI/ML for detection, estimation, prediction and precoding of channels. What does the term ‘Delay-Doppler' mean? It is easy to misinterpret this phrase as a special use-case of the Doppler effect – it is not. Cohere uses the word ‘delay’ as a shorthand for distance and the word ‘Doppler’ for velocity. Cohere postulates that tapping the channel simultaneously for time delay and Doppler effect provides a unique profile of the signal path from the antenna to the user – specifically, the scattering of signal and its causes can b

Share of Addressable Market in Traffic Optimization End-Application Mobile RAN for AI and Related Technologies; by Geographical Region 2023-2028 Let us come straight to the point. RAN shipments data recorded globally by several sources reveals the CAGR to be in single digits. Insight Research, on the other hand, pegs the growth for addressable market for AI in RAN in healthy double-digits. What explains the apparent dichotomy? Well, the answer is very simple. There is no dichotomy here. Insight Research is not covering the market for the entire RAN, it is focused only on a high-growth niche driven by AI in the RAN. For AI applications covered by us, the base market size is low, the technology is new, the growth rate is bound to be higher. It is elementary really! Even then, one would like to know, where is this growth coming from? Where are the real world examples of AI being used in the RAN? Let us consider one major end-application of AI in RAN – Traffic optimization. For markers of