Category: *AI & Predictive Networking

Cloud RAN trial proves AI improves network efficiency

A new Cloud RAN trial has proven how AI boosts network efficiency, giving operators a path to better resource management. AT&T completed an evaluation alongside Ericsson and Intel that tested how machine learning models perform over varying radio f…

Qualcomm: Prepping telecom infrastructure for AI-native 6G rollouts

Qualcomm has formed a broad coalition of industry partners to accelerate the development and global rollouts of AI-native 6G networks. The initiative establishes a milestone-driven roadmap targeting commercial availability from 2029 onwards. Future cel…

Why AI is altering planning for 6G mobile networks

AI is altering the planning of future 6G mobile networks as operators grapple with uncertain capacity demands. The Next Generation Mobile Networks Alliance published a study detailing how operator networks must adapt to support AI applications. The pub…

Google plans $15B subsea cable to boost AI infrastructure

Google has announced a $15 billion dollar subsea cable to establish new digital routes and boost infrastructure for AI. The America-India Connect initiative is a five-year plan extending across four continents. The company intends to establish new digi…

Using AI to slash 5G emissions and hit ESG goals

Implementing AI solutions in 5G networks can drastically slash energy emissions and accelerate progress toward critical ESG goals. 5G energy efficiency is often viewed as a line item for network operators, but new data suggests it is a macroeconomic le…

Private 5G networks: Solving the space and power problem

Deploying private 5G networks in space-constrained environments often forces a trade-off between performance and physical footprint. While industrial strategy frequently calls for private 5G to support automation and data sovereignty, the reality of fi…

Samsung: Turning legacy infrastructure into AI-ready networks

Samsung explains how operators can build AI-ready networks on existing software infrastructure to minimise hardware costs. Operators that pursued virtualisation early are saving on operating costs while sitting on infrastructure capable of running AI w…

Ericsson, FET, and OPPO validate performance-based 5G slicing

Ericsson, FET (Far EasTone), and OPPO have confirmed that 5G SA network slicing can now support performance-based connectivity models. Mobile operators face ongoing pressure to monetise their 5G infrastructure beyond standard connectivity fees. While n…

Single-server vRAN proves viable for commercial networks

Samsung and Intel have demonstrated single-server vRAN viability for commercial networks—a pivotal step in reducing hardware sprawl for operators. The challenge for telecoms leaders lies in balancing network performance with the need to reduce Total Co…

How AI-RAN delivers operational ROI for telcos

AI-RAN delivers operational ROI for telcos by moving beyond theoretical concepts into practical energy and spectral efficiency gains. As operators face flatlining revenues and spiralling complexity, the focus has shifted from technological novelty to b…