4.3.3 Meaning of the Result Graphs in PRIME

The meaning of each result graph in the spreadsheets is described in the table below. The name of each one refers to the DUT operation, position and kind of data.

Important: The “Y axis” of the graphs represents a value measured (dB or dBμV or %) in each test and the “X axis” represents the attenuation value (dB) or RSSI (dBuV) in each test.
Table 4-3. Graph Names Description
Graph Name Description
RSSI (dBµV) The rssi parameter is the Received Signal Strength Indication in dBuV
CINR (dB) The cinr parameter is the Carrier to Interference plus Noise Ratio in dB. It is a measure of the signal quality. It has a correspondency with the EVM defined on the PRIME specification (CINR(dB) = - EVM(dB)).
SNR (dB) The snr parameter is the Signal to Noise Ratio in dB. It is a measure of the signal quality (SNR (dB) ≃ CINR(dB) + 3).
EVM (%) The evm parameter on the graphs is the Error Vector Magnitud in % defined like the porcentage of phase gap (from 0 to 90º) between the received samples and the expected samples. It is a measure of the difference between the ideal (reference) and the measured received samples on the modulation mapping. Depending on the modulation, this error can reach the:
  • 100% (corresponding with a gap of 90º) for DBPSK (Figure 4-19)
  • 50% (corresponding with a gap of 45º) for DQPSK (Figure 4-20
  • 25% (corresponding with a gap of 22.5º) for D8PSK (Figure 4-21)
EVM Header Avg (%) This is the average of all the EVM Header received. The EVM Header to average is the carrier’s phase error that has more distortion (maximum EVM) in the two header symbols (four symbols if we use the robust mode) for each received frame.

As the PRIME header is always in BPSK with convolutional encoder, the maximum error that it is allowed will be 100%, but it is recommended to have a small error without noise and low attenuation in order to support high noise environments.

EVM Payload Avg (%) This is the average of all the EVM Payloads received (in BPSK, QPSK or 8-PSK). The EVM Payload to average is the carrier’s phase error that has more distortion (maximum EVM) in all the payload symbols for each received frame. This average is a global measure that indicates how far (in average) we are of transmitting in one or other modulation.

Example: If we have an EVM Payload Average of 20%, we could transmit in 8PSK (without convolutional encoder) without problems, but if we are around 24% or more, we will have to think on more robust modulations. This is done automatically by the MAC layer on a real scenario.

EVM Payload Max (%) It is the maximum of all the EVM payloads received.

It is the carrier with more distortion in all the payloads received. This value can imply that it could not possible to receive some messages in some modulations (without convolutional encoder)..

EVM Payload Acum Avg (%) It is the average of all the EVM Payload Accumulated received.

The EVM Payload Accumulated received is the error average of all the carriers in all the payload symbols. This value is normally small because generally, the carriers that have more distortion are only a few.

BER soft On the soft-decision decoding process, it correspond with the accumulated distance between the received symbols and the theoretical ones. The result must be as close as possible to 0 to guarantee the correct decoding.
Narrow Band Noise (%) Percentage of carriers with detected narrow band noise
Impulsive Noise (%) Percentage of symbols with detected impulsive noise
FER (%) Frame Error Rate, percentage of lost frames against sent frames.
Figure 4-19. EVM (%) for DBPSK modulation
Figure 4-20. EVM (%) for DQPSK modulation
Figure 4-21. EVM (%) for 8PSK modulation
The different value results obtained from the PLC Tester Tool are related to the attenuation programmed on the setup for each test and the corresponding RSSI calculated on the reception, this is the simplest way to compare the results between different devices.
Figure 4-22. Typical Frame Error Rate Versus RSSI for PRIME with Microchip Reference EKs
From a theoretical point of view, the FER vs RSSI shows:
  • A gain of 3 dB between the modulations BPSK, QPSK, 8PSK.
  • A gain of about 6 dB when using convolutional coding.
  • Additional gain is obtained using robust modulation that adds more energy to each symbol.