白皮书
The transition to 5G networks introduces not only enhanced connectivity and performance but also a greater potential for interference. Both human-driven and machine-to-machine communications can generate interference that, if unmanaged, may lead to critical failures across applications such as autonomous driving, Internet of Things (IoT) devices, security systems, public safety networks, and radar navigation. Interference remains an omnipresent challenge across all network types, and conventional analysis methods often fall short in accurately identifying or resolving these issues. This whitepaper explores the common sources of radio frequency (RF) and microwave (MW) interference, examines the limitations of traditional interference analysis, and demonstrates how real-time spectrum analysis (RTSA) provides the necessary tools to detect, diagnose, and mitigate interference before it compromises system performance.
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