The statement is correct. Huawei's iMaster NCE-CampusInsight is an intelligent network analysis and Operations & Maintenance (O&M) platform designed to enhance network performance. A core feature for Wireless LAN (WLAN) management is its ability to perform intelligent optimization. The platform collects and analyzes real-time performance data from network devices, including signal strength (RSSI) and data rates from actual user stations (STAs). By processing this real-world data, CampusInsight can accurately identify network issues such as weak coverage areas associated with specific Access Points (APs). Following this diagnosis, its intelligent optimization engine provides concrete recommendations to network administrators, which include adjusting the transmit power of the identified APs to improve signal coverage and optimize overall network capacity and user experience.

This is a "TRUE OR FALSE" question. The alternative, "False," is incorrect because it contradicts the documented capabilities of the iMaster NCE-CampusInsight platform. The platform's primary value proposition for WLAN management lies in its data-driven approach to O&M, which explicitly involves using live client data (from STAs) to identify problems like poor coverage and recommend solutions, including transmit power adjustments. Denying this capability would misrepresent a fundamental feature of the product.

1. Huawei iMaster NCE-CampusInsight Product Documentation. The official product description details the "Intelligent O&M for Wireless Networks" feature. It specifies that CampusInsight uses historical and real-time data to identify network-wide issues, including coverage holes. It then provides optimization suggestions for radio calibration, which includes transmit power adjustment.

Source: Huawei iMaster NCE-CampusInsight V100R021C00 Product Description.

Section: 2.2.2 Intelligent O&M for Wireless Networks > Intelligent Optimization. This section states, "Based on historical big data of the entire network, CampusInsight identifies network-wide issues, such as coverage holes, interference, and roaming problems, and provides optimization suggestions." The optimization process inherently involves analyzing STA data and recommending power and channel settings.

2. Huawei CloudCampus Solution White Paper. These documents often describe the synergy between network hardware and management platforms like CampusInsight. They explain how the solution moves from passive O&M to proactive, intelligent O&M by leveraging AI and big data analytics on real user traffic and signal information.

Source: Huawei "AI-Powered Intelligent O&M, Building a Proactive and Self-Healing Campus Network" White Paper.

Section: "Intelligent Experience Assurance". This section typically details how the system collects terminal (STA) experience data to proactively identify issues. It further explains that the "intelligent radio calibration service analyzes historical data... to provide optimal channel and power settings for APs," which directly supports the question's claim.