Mitigation of Interference for multi-cell multi-user in multi-input single-output interference network (MISO IN) is designed. In this proposed system, messages are splitting into private message and common message. In order to optimize the sum rate and minimal rate, covariances of private message and common messages are estimated. Successive decoding algorithm proposed for decoding both private and common messages. The optimization problems will solved by implementing the difference of concave functions (d.c.). Developing an efficient d.c. optimization framework, which is implemented over the disconnected region of split private and common rates in multi-user MIMO Ins for minimizing the sum rate and minimal user’s rate. Han-Kobayashi (HK) rate splitting scheme is viewed as the best strategy to cancel the interference and improve the performance. Accordingly, d.c. iterations are derived to locate its optimized solution. DCI algorithm provided to improve the rate performance at each iteration. The Han-Kobayashi (H-K) strategy yields the best inner bound on the capacity region The network optimization problem consists of jointly determining the appropriate users in adjacent cells for rate splitting, the optimal transmit beamformers for common and private messages, and the optimal common-private rates to maximize the minimum achievable rate across the users. This message splitting algorithm implemented for both MIMO and MISO interference networks.