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Keysight and MediaTek Advance AI‑Driven Uplink Optimization and Model Life Cycle Management for Radio Access Networks
SANTA ROSA, Calif., February 27, 2026--Keysight Technologies, Inc. (NYSE: KEYS) and MediaTek announced a working prototype that advances AI‑driven uplink optimization and model life cycle management for next‑generation radio access networks (RAN). The prototype will be demonstrated at Mobile World Congress 2026 and shows how AI‑enabled, RAN-assisted intelligence can improve uplink performance in real time while remaining effective over time through practical model retraining and over‑the‑air (OT
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[{"type":"image","alt":"","displaySize":"","headline":null,"caption":"","credit":null,"className":"","disableSlideshowImg":false,"size":{"original":{"width":480,"height":270,"url":"https://media.zenfs.com/en/business-wire.com/30da174e8224806aff642be674313c99"},"resized":{"url":"https://s.yimg.com/ny/api/res/1.2/msWH4tkjuH5iZk8vyQBFEQ--/YXBwaWQ9aGlnaGxhbmRlcjt3PTk2MDtoPTU0MDtjZj13ZWJw/https://media.zenfs.com/en/business-wire.com/30da174e8224806aff642be674313c99","width":480,"height":270}},"lazy":false},{"type":"text","content":"Working prototype shows how artificial intelligence-radio access network techniques can adapt to site conditions and improve uplink performance at scale","length":152,"tagName":"p"},{"type":"text","content":"SANTA ROSA, Calif., February 27, 2026--(BUSINESS WIRE)--Keysight Technologies, Inc. (NYSE: KEYS) and MediaTek announced a working prototype that advances AI‑driven uplink optimization and model life cycle management for next‑generation radio access networks (RAN). The prototype will be demonstrated at Mobile World Congress 2026 and shows how AI‑enabled, RAN-assisted intelligence can improve uplink performance in real time while remaining effective over time through practical model retraining and over‑the‑air (OTA) updates, helping operators and ecosystem partners accelerate the transition to networks.","length":608,"tagName":"p"},{"type":"text","content":"As networks evolve, maintaining consistent uplink performance becomes increasingly challenging. Coverage conditions vary widely across urban, rural, indoor, and hard-to-reach locations. Traditional transmitter diversity techniques are often static, which can limit performance as conditions change. At the same time, AI models trained in one environment may not perform the same across all deployment scenarios and updating those models in live networks can be operationally complex. Operators need an approach that is accurate, site‑aware, and easy to maintain.","length":562,"tagName":"p"},{"type":"text","content":"Keysight and MediaTek address this need by combining RAN‑assisted AI decision‑making, site‑specific model retraining, and over-the-air (OTA) model updates in a controlled test environment that mimics real-world network conditions. The prototype leverages Keysight’s Channel Studio RaySim and its Network and Channel Emulation solutions to create realistic, repeatable valida...