The invention presents a self-optimizing deployment scheme and device for indoor small cell. Based on time division multiplexing access (TDMA) resource assignment, an adaptive neural fuzzy inference system (ANFIS) based self-optimizing deployment cascade control (SODCC) device is proposed for indoor small cell to enable easy installation, multi-user (MU)service reliability, optimum throughput, power saving, minimum interference and good cell coverage. The proposed SODCC device is designed with a cascade architecture, which mainly contains an ANFIS based initial power setting controller (IPSC) in the first unit, an ANFIS based channel quality index (CQI) decision controller (CQIDC) in the second unit and an ANFIS based self-optimizing power controller (SOPC) in the third unit. In addition, a protection mechanism of the self-optimizing power controller is included in the SODCC device to prevent the co-channel is interference from the moving users of adjacent cells.