The signal to noise ratio (SNR) is a measure that compares the level of a desired signal to the level of

background noise. SNR is defined as the ratio of signal power to the noise power, often expressed in

decibels (dB). A high SNR means that the signal is clear and easy to detect or interpret, while a low

SNR means that the signal is corrupted or obscured by noise and may be difficult to distinguish or

recover3. To calculate the SNR in dB, we can use the following formula:

SNR (dB) = Signal power (dBm) - Noise power (dBm)

In this question, we are given that the noise floor measures -90 dBm (0.000000001 milliwatts) and

the receiver’s signal strength is -65 dBm (0.000316 milliwatts). Therefore, we can plug these values

into the formula and get:

SNR (dB) = -65 dBm - (-90 dBm) SNR (dB) = -65 dBm + 90 dBm SNR (dB) = 25 dBm

Therefore, the correct answer is that the SNR is 25 dBm.

Reference: 3 https://en.wikipedia.org/wiki/Signal-to-noise_ratio