Title :
Discrete adaptive transmission for fading channels
Author :
Lang Lin;R.D. Yates;P. Spasojevic
Author_Institution :
Wireless Inf. Network Lab., Rutgers Univ., Piscataway, NJ, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
In this work, we address optimal adaptive transmission policies in slow varying wireless environments. Continuous rate and power assignments that achieve the ergodic capacity for these channels have been derived previously. Nevertheless, from a practical point of view, use of a finite number of power and rate levels is imperative. Here, we address the mapping from channel states of an arbitrary distribution to a discrete set of power level and code rate pairs. Unlike earlier work, our design does not require that the transmitter knows the exact value of the current channel state. We show that our design yields results close to the well-known water-filling result.
Keywords :
"Fading","Transmitters","AWGN","Power generation","State-space methods","Quantization","Iterative algorithms","Channel capacity","Additive white noise","Random variables"
Conference_Titel :
Communications, 2001. ICC 2001. IEEE International Conference on
Print_ISBN :
0-7803-7097-1
DOI :
10.1109/ICC.2001.937058