As described in Section 4.3, the scheduling has to detect if all bearers fulfill their target quality.
This number increases with the target quality and the mismatch of the source signal with the sinusoidal model.
Therefore, it uses the updated model parameters (a and b) and the input target quality as reference.
However, the currently available WZ video codecs do not allow controlling the target quality in an efficient way which is a major limitation for some applications.
In this section, a feedback-driven distortion-quantization (DQ) model is used to reach a certain constant target quality for the key frames while consuming the minimum rate.
To ensure that the system can satisfy target quality of service (QoS) requirements, a careful analysis which takes into account imperfect CSI is required [1].
The method proposed in this article is applied to audio sinusoidal modeling and reaches the desired target quality by combining a classic estimator with minimal extra information.
According to the rate-distortion theory[17], it is possible to calculate the minimal rate of information required to obtain a defined target quality.
Sofke et al. [39] consider the problem that current WZ coding schemes do not allow controlling the target quality in an efficient way.
In this context, the only input is the target quality, for example, defined in terms of peak signal-to-noise ratio (PSNR) for each frame.
The complementary problem of the optimization of the bitrate for a target quality is addressed in [17, 18], reducing the computational load of Tier-1 too.
