Title :
Loading for parallel binary channels
Author :
Zhang, Xin ; Zhou, Shengli ; Willett, Peter
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
Abstract :
We develop optimal probability loading for parallel binary channels, subject to a constraint on the total probability of sending ones. The distinctions from the waterfilling power loading for parallel Gaussian channels, particularly the latter\´s "dropping" of poor-quality channels, are highlighted. The only binary-input binary-output channel that is never dropped is the Z-channel.
Keywords :
Gaussian channels; amplitude shift keying; Z-channel; binary-input binary-output channel; optimal probability loading; parallel Gaussian channels; parallel binary channels; poor-quality channels; waterfilling power loading; Additive noise; Capacity planning; Constraint optimization; Constraint theory; Energy consumption; Gaussian channels; Gaussian noise; Lagrangian functions; Mutual information; Signal design; Capacity; on–off keying (OOK); parallel binary channels; waterfilling;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2005.861672
