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WNC to unveil cutting-edge 5G, AI-powered connectivity solutions at MWC 2025 Barcelona

Aaron Lee, Taipei; Levi Li, DIGITIMES Asia 0

Credit: DIGITIMES

Wistron NeWeb Corporation (WNC) will showcase its latest communication and connectivity innovations at MWC 2025 Barcelona, highlighting 5G, AI-driven solutions, and next-generation network infrastructure. Key exhibits include integrated small cells, AI-optimized servers, and 800G network switches, alongside AI-powered software services, Wi-Fi Sensing technology, and O-RU solutions compliant with Open RAN (O-RAN) standards.

Advancing 5G infrastructure

WNC's integrated small cells support 3GPP 5G Standalone (SA) architecture and Time Division Duplex (TDD) technology, maximizing spectrum efficiency for more reliable wireless networks. With 4x4 MIMO technology, these solutions increase bandwidth capacity, meeting the growing demand for ultra-fast, high-performance connectivity.

Outdoor and indoor deployment solutions

WNC's outdoor small cells integrate high-efficiency gallium nitride (GaN) power amplifiers, delivering up to 37 dBm output power while minimizing energy consumption and maximizing RF coverage. Indoor models feature PoE++ power distribution, streamlining deployment and offering adaptive antenna configurations for various environments.

Edge AI computing

WNC's AI Slim Server, engineered for edge AI and 5G vRAN applications, features the latest Intel Xeon D processor. Its integrated Quick Assist Technology (QAT) significantly boosts performance for compute-intensive tasks, enabling faster encryption, compression, and AI-driven workloads.

Next-generation networking

WNC's 800G network switch, powered by the Broadcom Trident 5-X12, doubles bandwidth performance over its predecessor while reducing power consumption. Its AI-powered Smart QoS system dynamically classifies and prioritizes network traffic, ensuring optimized performance and a seamless user experience.

Smart living technologies

WNC's Wi-Fi Sensing technology enhances smart home security and health monitoring using CSI signal processing and AI-driven learning algorithms. Unlike traditional systems, it eliminates the need for wearable devices, enabling precise motion tracking, posture recognition, and fall detection. Advanced AI models further refine sleep quality analysis and health monitoring, ensuring a safer, smarter living environment.

Article edited by Jerry Chen