For parallel independent Gaussian-noise channels with an aggregate power constraint, independent Gaussian inputs whose powers are allocated according to the waterfilling policy maximize the sum mutual information. In practice, however, discrete signalling constellations such as m-PSK or m-QAM are used in lieu of the ideal Gaussian signals. This paper gives the power allocation policy, referred to as mercury/waterfilling, that maximizes the sum mutual information over parallel channels with arbitrary input constellations.
Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellation / A., Lozano; Tulino, ANTONIA MARIA; S., Verdú. - ELETTRONICO. - (2005), pp. 1-6. (Intervento presentato al convegno IEEE International Symposium on Information Theory (ISIT’05) tenutosi a Adelaide, Australia nel Sep. 2005.).
Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellation
TULINO, ANTONIA MARIA;
2005
Abstract
For parallel independent Gaussian-noise channels with an aggregate power constraint, independent Gaussian inputs whose powers are allocated according to the waterfilling policy maximize the sum mutual information. In practice, however, discrete signalling constellations such as m-PSK or m-QAM are used in lieu of the ideal Gaussian signals. This paper gives the power allocation policy, referred to as mercury/waterfilling, that maximizes the sum mutual information over parallel channels with arbitrary input constellations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
