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AI-RAN

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Ericsson defends its custom silicon AI-RAN strategy, showing how operators can boost spectrum efficiency and network capacity using existing baseband hardware. With AI-native link adaptation live across 60,000 base stations, Ericsson says telecom and VoIP networks can gain performance now while keeping future GPU-based deployment options open for service providers

AI-RAN is delivering early ROI for mobile operators by optimizing energy use, speeding fault detection, and improving capacity planning. For VoIP providers, smarter RAN operations can enhance call quality, reduce latency, and support reliable edge services, while operators focus on practical savings before chasing uncertain new revenue from enterprise applications

Samsung’s AI-RAN trials with KT and SK Telecom bring private 5G, edge AI, and industrial robots into real-world shipyard and petrochemical sites. For VoIP and enterprise communications, the program highlights low-latency networks, reliable uplink performance, and automation that could reshape mission-critical connectivity before AI-native 6G arrives in South Korea soon.

Ericsson is bringing AI-RAN into live 5G networks, promising smarter coverage, lower latency, better capacity, and improved energy efficiency. For VoIP providers and carriers, telco-grade AI could enhance call quality, uplink performance, network slicing, and real-time communications as enterprise voice services demand faster, more reliable mobile connectivity at scale now