How to Validate BLE and WLAN IoT Receiver Sensitivity and Packet Error Rate

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IoT Wireless Test
+ IoT Wireless Test
IoT Wireless Test
+ IoT Wireless Test

Receiver Sensitivity and Packet Error Rate Test Workflow

Reliable IoT connectivity depends on how well a device receives and responds to weak or marginal wireless signals. For Bluetooth® Low Energy and WLAN devices, receiver sensitivity and packet error rate testing help engineers determine whether the receiver can maintain communication as signal levels decrease. These tests are especially important for compact IoT products that operate with small antennas, limited power budgets, or in environments where range, orientation, or interference can affect wireless performance.

Keysight’s IoT wireless test solution supports conducted and non-conducted signaling tests for BLE and WLAN devices running final firmware. Engineers can characterize receiver behavior using channel-based packet error rate, composite packet error rate, receiver sensitivity, and scan response data throughput measurements. By controlling test conditions and monitoring receiver response, teams can identify weak-signal performance limits, establish pass/fail thresholds, and validate device behavior before production. This workflow gives R&D teams insight into receiver margins and helps manufacturing teams run repeatable receiver-performance tests that balance wireless quality with production throughput.

Receiver Sensitivity and Packet Error Rate Test Solution

Receiver sensitivity and packet error rate testing help verify that BLE and WLAN IoT devices can maintain reliable communication under weak-signal conditions. Keysight’s IoT wireless test solution supports conducted and non-conducted signaling tests on devices running final firmware, enabling engineers to characterize receiver behavior using channel-based packet error rate, composite packet error rate, receiver sensitivity, and scan response data throughput measurements. These workflows help teams define receiver-performance limits, validate design margins, identify devices with marginal receive performance, and run repeatable R&D or manufacturing tests without relying on chipset-specific drivers.
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