Quantization is an important operation in digital communications systems. It not only introduces quantization noise but also changes the statistical properties of the quantized signal. Furthermore, quantization noise cannot be always considered as an additive source of Gaussian noise as it depends on the input signal probability density function. In orthogonal-frequency-division- multiplexing transmission the signal undergoes different operations which change its statistical properties. In this paper we analyze the statistical transformations of the signal from the transmitter to the receiver and determine how these effect the quantization. The discussed process considers the transceiver parameters and the channel properties to model the quantization noise. Simulation results show that the model agrees well with the simulated transmissions. The effect of system and channel properties on the quantization noise and its effect on bit-errorrate are shown. This enables the design of a quantizer with an optimal resolution for the required performance metrics.
- Orthogonal-frequency-division-multiplexing (OFDM)
- Quantization noise
- Quantizer resolution
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering