Title :
Randomization bounds on Gaussian arbitrarily varying channels
Author :
Sarwate, Anand D. ; Gastpar, Michael
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA
Abstract :
The random coding capacity of the Gaussian arbitrarily varying channel (GAVC) under a maximal probability of error criterion is equal to that of an additive white Gaussian noise (AWGN) channel with the interference power as additional noise. The deterministic coding capacity under an average probability of error criterion is zero if the transmitter power does not exceed the interference power. We show that the random coding capacity for average probability error is the same as that for maximal probability of error and that the randomization need only be over a sub-exponential number of codebooks. The achievable error exponent is related to the amount of randomization. An application of these results to the degraded broadcast channel is discussed
Keywords :
AWGN channels; broadcast channels; channel capacity; channel coding; error statistics; AWGN channel; Gaussian arbitrarily varying channels; additive white Gaussian noise channel; broadcast channel; error criterion maximal probability; random coding capacity; randomization bounds; AWGN; Additive white noise; Capacity planning; Computer errors; Decoding; Gaussian noise; Interference; Jamming; Power engineering computing; Random variables;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.261933