In deep submicron (DSM) integrated circuits (IC), coupling capacitors between inter-connects become dominant over grounded capacitors. As a result, the dynamic power dissipationof one node is no longer only in relation to the signal on that node, and it also depends on signalson its neighbor nodes through coupling capacitors. Thus, for their limitation in dealing with ca-pacitively coupled nets, past jobs on power estimation are facing rigorous challenges and need tobe ameliorated. This paper proposes and proves a simple and fast approach to predicting dynamicpower dissipation of coupled interconnect networks: a coupling capacitor in dynamic CMOS logiccircuits is decoupled and mapped into an equivalent cell containing an XOR gate and a groundedcapacitor, and the whole circuit after mapping, consuming the same power as the original one,could be easily managed by generally-used gate-level power estimation tools. This paper also in-vestigates the correlation coefficient method (CCM). Given the signal probabilities and the correla-tion coefficients between signals, the dynamic power of interconnect networks can be calculatedby using CCM. It can be proved that the decoupling method and CCM draw identical results, that isto say, the decoupling method implicitly preserves correlation properties between signals and thereis no accuracy loss in the decoupling process. Moreover, it is addressed that the coupling capaci-tors in static CMOS circuits could be decoupled and mapped into an equivalent cell containing amore complicated logic block, and the power can be obtained by the probability method for dy-namic CMOS logic circuits.