An Introduction to Adaptive QAM Modulation Schemes for Known and Predicted Channels
Artikel i vetenskaplig tidskrift, 2007
A major disadvantage with fixed modulation
(nonadaptive) on channels with varying signal-to-noise ratio
(SNR) is that the bit-error-rate (BER) probability performance is
changing with the channel quality. Most applications require a
certain maximum BER and there is normally no reason for
providing a smaller BER than required. An adaptive modulation
scheme, on the contrary, can be designed to have a BER which
is constant for all channel SNRs. The spectral efficiency of the
fixed modulation is constant, while it, in general, will increase
with increasing channel SNRs for the adaptive scheme. This in
effect means that the average spectral efficiency of the
adaptive scheme is improved, while at the same time the BER
is better suited to the requirement of the application. Thus, the
adaptive link becomes much more efficient for data transmission.
The major disadvantage is that the transmitter needs to
know the channel SNR such that the best suitable modulation is
chosen and the receiver must be informed on the used
modulation in order to decode the information. This leads to
an increased overhead in the system as compared with a fixed
modulation system. In this paper, we introduce adaptive
modulation systems by presenting some of the simpler
adaptive quadrature amplitude modulation schemes and their
performance for both perfectly known and predicted channels.
Adaptive modulation
channel prediction
quadrature amplitude modulation (QAM)
flat fading channel