TY - GEN
T1 - Mercury/waterfilling
T2 - 2005 IEEE International Symposium on Information Theory, ISIT 05
AU - Lozano, Angel
AU - Tulino, Antonia M.
AU - Verdú, Sergio
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33749449439&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749449439&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2005.1523650
DO - 10.1109/ISIT.2005.1523650
M3 - Conference contribution
AN - SCOPUS:33749449439
SN - 0780391519
SN - 9780780391512
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1773
EP - 1777
BT - Proceedings of the 2005 IEEE International Symposium on Information Theory, ISIT 05
Y2 - 4 September 2005 through 9 September 2005
ER -