Title :
On the channel error count method with convolution code for adaptive transmission
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Univ., USA
Abstract :
Channel error rate is an important performance measure of digital communication system. We usually use the signal-to-noise ratio (SNR) of the decision statistic at the demodulator output to evaluate this quantity. For wireless transmission, the channel is time varying and highly random, hence an accurate channel error rate estimate at the demodulator output is hard to achieve. In order to maintain acceptable performance at the receiver end, adaptive transmission based on the instantaneous channel error rate is necessary. In this paper, we evaluate the effectiveness of a recently proposed channel error counts method to estimate the channel error rate used for adaptive transmission.
Keywords :
adaptive codes; adaptive modulation; channel estimation; convolutional codes; demodulators; digital communication; error statistics; time-varying channels; wireless channels; channel error count method; channel estimation; convolution code; decision statistics; demodulator; digital communication system; time-varying channel; wireless adaptive transmission; Convolution; Demodulation; Digital modulation; Error analysis; Error correction; Maximum likelihood decoding; Performance analysis; Signal to noise ratio; Transmitters; Viterbi algorithm;
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on
Print_ISBN :
0-7803-9128-4
DOI :
10.1109/MAPE.2005.1618131