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In this paper we explore the information-theoretic aspects of interferencealignment and its relation to channel state information (CSI). For the $K-$userinterference channel using different changing patterns between different users,we propose several methods to align some parts of interferences and to increasewhat is achieved by time sharing method. For more practical case when all thechannel links connected to the same destination have the same changing pattern,we find an upper-bound and analyze it for the large interference channelnetwork. This result shows that when the size of the network increases, theupper-bound value goes to $\frac{\sqrt{K}}{2}$. For the fast fading channelwhen all the channels have the same changing pattern, we show that when thedirect links have different characteristic functions (channel permutation ormemory), in the absence of half part of CSI (cross links) at both transmittersand receivers, one can achieve $K/2$ degrees-of-freedom (DoF). Also by theconverse proof we show that this is the minimum channel information to achievemaximum DoF of $\frac{K}{2}$. Throughout this work, this fact has beenpinpointed to prove statements about more general partial state CSI andachievable DoF. In other words, for the 3-user fully connected interferencechannel we find out while $\frac{3}{2}$ lies in achievable DoF, we don't needto know half part of the CSI. Also, the result has been extended to a moregeneral form for $K-$user interference channel and through the converse proof,its functionality on channel state is proved to be optimum.

Interference Alignment for the K-user Interference Channel with Imperfect CSI