# Samsung and KDDI's 5G trial says the next hardware edge in telecom is cell-by-cell AI tuning, not just bigger radios Source: TechNewsList (https://technewslist.com) Canonical URL: https://technewslist.com/en/article/samsung-kddi-ai-ran-5g-throughput-2026-07-06-night Section: Hardware (https://technewslist.com/en/hardware) Author: TechNewsList Language: en Published: 2026-07-07T04:13:28.001+00:00 Updated: 2026-07-07T04:13:28.16249+00:00 > Samsung's latest Japan trial with KDDI matters because it suggests real network gains now depend on AI software that can tune each cell individually on live infrastructure rather than relying on broader cluster-level presets alone. ## TL;DR - Samsung says its AI-powered RAN Speed Optimizer delivered an average 31% increase in 5G downlink throughput in a live KDDI trial, with peaks up to 52% in dense urban areas. - The test used hundreds of cells around Tokyo and moved beyond cluster-wide settings toward cell-specific parameter tuning. - That makes the story a hardware one as much as a software one: better radios now increasingly depend on AI control planes that squeeze more performance from existing infrastructure. ## Key points - The trial ran on KDDI's commercial 5G standalone network using 100 MHz of 3.7 GHz TDD spectrum across dense urban, suburban, and rural areas. - Samsung says its RSO uses an AI prediction model to recommend optimized parameters for each individual cell rather than applying one setting across a broader cluster. - The product sits inside Samsung's CognitiV Network Operations Suite, which bundles AI-powered automation, agents, and optimization tools. - The commercial implication is that operators may be able to unlock more throughput and efficiency without waiting only for brand-new spectrum or macro-hardware refreshes. - This shifts part of telecom hardware competition toward AI-assisted operations that are deeply tied to the installed radio footprint. # Samsung and KDDI's 5G trial says the next hardware edge in telecom is cell-by-cell AI tuning, not just bigger radios ## What happened Samsung said on June 30 that it successfully completed an AI-powered network-optimization trial with KDDI on the operator's commercial 5G standalone network in Japan. The headline result is big enough to matter: Samsung says its RAN Speed Optimizer raised average downlink throughput by 31% across the total trial area during peak hours, with gains reaching as high as 52% in dense urban environments. ![Contextual editorial image for Samsung and KDDI's 5G trial says the next hardware edge in telecom is cell-by-cell AI tuning, not just bigger radios Samsung Electronics KDDI RAN Speed Optimizer 5G Standalone CognitiV Network Operations Suite Samsung Samsung Networks Telecoms.com technology news](https://5g.systemsapproach.org/_images/Slide2.png) *Contextual visual selected for this TechPulse story.* The trial ran across hundreds of cells in and around Tokyo using 100 MHz of 3.7 GHz TDD spectrum, and importantly it covered dense urban, suburban, and rural settings rather than a narrow lab environment. Samsung says the diversity of traffic and network conditions allowed it to train and validate the AI model in real-world operating scenarios. That makes this more than a routine telecom press release. Samsung is trying to show that AI-led optimization is no longer an abstract layer on top of network gear. It is becoming part of how operators extract more value from the hardware they already have on air. ## Why it matters This matters because telecom performance gains are getting harder and more expensive to find through traditional methods alone. Operators can buy more spectrum, densify sites, or refresh hardware, but all of those moves are capital intensive and slow. If AI can raise live throughput materially through smarter tuning of existing cells, then the economic and competitive implications are significant. The core shift is from broad cluster-level configuration to cell-by-cell decision-making. Historically, networks often applied similar parameter sets across groups of sites, which is operationally manageable but blunt. Urban congestion, local interference, topography, and demand patterns do not behave in a cluster-average way. Samsung's pitch is that AI can treat each cell as its own optimization problem and continuously adapt around the conditions it actually faces. That changes what counts as a hardware advantage. In telecom, superior physical equipment still matters, but the companies that can combine radio hardware with smarter optimization software may increasingly outperform rivals that sell powerful gear without equally capable operational intelligence. ## Technical details Samsung says the RAN Speed Optimizer is built around per-cell parameter optimization. Instead of applying one setting profile across multiple cells, the system uses its own AI prediction model to analyze site-environment data and recommend optimized parameters tailored to each individual cell. ![Contextual editorial image for Samsung and KDDI's 5G trial says the next hardware edge in telecom is cell-by-cell AI tuning, not just bigger radios Samsung Electronics KDDI RAN Speed Optimizer 5G Standalone CognitiV Network Operations Suite Samsung Samsung Networks Telecoms.com technology news](https://networkbuildz.com/wp-content/uploads/2023/02/5G-Network-Architecture.png) *Contextual visual selected for this TechPulse story.* The live trial setup is also important. Samsung says KDDI and Samsung used hundreds of cells and 100 MHz of 3.7 GHz TDD spectrum across varied environments. That mix gave the model access to real congestion patterns and different propagation conditions, which is essential if the optimization layer is going to be trusted beyond a controlled demo zone. The company frames RSO as part of its CognitiV Network Operations Suite, which bundles AI-driven automation tools, AI agents, and network applications. In practice, that means Samsung is not pitching a single point feature. It is pitching an emerging operations stack where optimization, monitoring, automation, and response can increasingly work together. For end users, Samsung says the benefits should show up as faster and more reliable connections during everyday activity. For operators, the appeal is reduced manual intervention, better adaptation to changing conditions, and improved cost efficiency. ## Market / industry impact The wider impact is that telecom hardware competition is becoming more software-coupled. Vendors can no longer assume the performance conversation stops at antennas, baseband, or spectrum support. They need a credible story for how AI can make those assets behave better after deployment. That is especially relevant in mature 5G markets. Once a nationwide standalone network is live, the next gains often depend on extracting more efficiency from complex installed infrastructure. Samsung is effectively arguing that AI-based control layers can become one of the most important differentiators in that phase. The trial also gives operators a reference point for future spending decisions. If AI-led tuning can deliver meaningful capacity gains, operators may prioritize vendors that can combine network equipment, operational data, and intelligent automation into a tighter loop. ## What to watch next Watch whether Samsung moves from trial language toward broader commercial rollout claims with KDDI or other operators. One successful field test is meaningful, but scaled operational deployment would be the stronger signal. Also watch whether rival vendors answer with their own cell-level optimization results on commercial 5G standalone networks. If similar claims start appearing across the sector, it will confirm that AI-assisted tuning is becoming table stakes. Most of all, watch operator economics. If tools like RSO can reliably defer or complement more expensive hardware expansion, then the next telecom hardware cycle may be shaped as much by AI optimization software as by the radios themselves. ## Sources - [Samsung: Samsung and KDDI Successfully Complete AI-Powered Network Optimization Trial on Commercial 5G Standalone Network in Japan](https://news.samsung.com/global/samsung-and-kddi-successfully-complete-ai-powered-network-optimization-trial-on-commercial-5g-standalone-network-in-japan) - [Samsung Networks business release](https://www.samsung.com/global/business/networks/insights/press-release/0629-samsung-and-kddi-successfully-complete-ai-powered-network-optimization-trial-on-commercial-5g-standalone-network-in-japan/) - [Telecoms.com: Samsung and KDDI claim gains with AI network optimisation trial](https://www.telecoms.com/ai/samsung-kddi-claim-gains-with-ai-network-optimisation-trial-in-japan) Mentions: Samsung Electronics, KDDI, RAN Speed Optimizer, 5G Standalone, CognitiV Network Operations Suite ## Sources - [Samsung](https://news.samsung.com/global/samsung-and-kddi-successfully-complete-ai-powered-network-optimization-trial-on-commercial-5g-standalone-network-in-japan) - [Samsung Networks](https://www.samsung.com/global/business/networks/insights/press-release/0629-samsung-and-kddi-successfully-complete-ai-powered-network-optimization-trial-on-commercial-5g-standalone-network-in-japan/) - [Telecoms.com](https://www.telecoms.com/ai/samsung-kddi-claim-gains-with-ai-network-optimisation-trial-in-japan)