TY - CHAP
T1 - Channel blurredness
AU - Fang, Song
AU - Chen, Jie
AU - Ishii, Hideaki
PY - 2017/11/1
Y1 - 2017/11/1
N2 - In this chapter we introduce a new information-theoretic notion, termed channel blurredness, which, in contrast to channel capacity, is defined as the infimum of mutual information (rate) between the noise and output of the channel. Intuitively, this measure lends a more direct relationship between the channel noise and the channel output. Three classes of channels are considered, including AWGN channels, ACGN channels, and fading channels. For each of the channel class, we examine the relation between channel blurredness and channel capacity. We show that to attain channel blurredness of MIMO channels, the channel power is mandated to be allocated with totally new “fire-quenching” policies, in stark contrast to the classical “water-filling” according to channel capacity.
AB - In this chapter we introduce a new information-theoretic notion, termed channel blurredness, which, in contrast to channel capacity, is defined as the infimum of mutual information (rate) between the noise and output of the channel. Intuitively, this measure lends a more direct relationship between the channel noise and the channel output. Three classes of channels are considered, including AWGN channels, ACGN channels, and fading channels. For each of the channel class, we examine the relation between channel blurredness and channel capacity. We show that to attain channel blurredness of MIMO channels, the channel power is mandated to be allocated with totally new “fire-quenching” policies, in stark contrast to the classical “water-filling” according to channel capacity.
UR - https://www.scopus.com/pages/publications/84995593465
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84995593465&origin=recordpage
U2 - 10.1007/978-3-319-49289-6_4
DO - 10.1007/978-3-319-49289-6_4
M3 - RGC 12 - Chapter in an edited book (Author)
VL - 465
T3 - Lecture Notes in Control and Information Sciences
SP - 49
EP - 65
BT - Towards Integrating Control and Information Theories
PB - Springer Verlag
ER -