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(ii) We exhaustively take each combination of the SNR samples as the rate adaptation threshold and calculate the packet loss rate to obtain the optimal set of thresholds.

To do so, we leverage a steady-state analysis of a joint buffer and channel quality Markov chain to get the optimal rate adaptation thresholds and apply this threshold set for rate adaptation.

In all other respects, baseline and adaptation threshold measurements were identical.

Figure 10 Rate adaptation threshold with different buffer status and offered load distributions.

Hirsch and Ehrlicher[20] produce subband energy histograms from past spectral values below the adaptation threshold over a duration window and choose the maximum noise level to update the noise estimate.

For different offered loads, the optimal rate adaptation threshold varies.

However, if we do not take the offered load distribution and buffer status information into account, we would use 10-dB SNR as the adaptation threshold.

As a result, increasing the rate adaptation threshold to decrease the packet corruption probability in the channel leads to a better overall performance.

Also, we can see that when the available buffer space reaches a certain value, the rate adaptation threshold converges to a constant level.

Then, a decrease in the rate adaptation threshold will result in a higher packet transmission rate, which could counteract the packet overflow rate with greater channel corruption risk to reduce packet loss.

For instantaneous buffer information, we use the instantaneous occupancy information and offered load information and derive the packet loss rate (including both packet overflow at the transmit buffer and packet corruption in the channel) for each rate to obtain the optimal rate adaptation threshold set for each buffer status.