This paper explores the use of movable antennas (MAs) to enhance the performance of multiple-input single-output (MISO) interference channels. By leveraging the additional degrees of freedom provided by MAs, the authors aim to minimize the total transmit power while improving the desired signal and suppressing interference. The optimization problem, which is non-convex due to the constraints on signal-to-interference-plus-noise ratios (SINRs) and the minimum distance between MAs, is solved using an alternating optimization (AO) algorithm. This algorithm alternates between optimizing the MA positions using successive convex approximation (SCA) and optimizing the transmit beamforming vectors using second-order cone programming (SOCP). Numerical results demonstrate that the proposed MA-enabled MISO interference network outperforms conventional systems without MAs, significantly enhancing inter-cell frequency reuse and reducing transmitter complexity. The performance improvement is attributed to the ability of MAs to exploit channel variations and reduce interference correlation, leading to lower total transmit power and higher system capacity.This paper explores the use of movable antennas (MAs) to enhance the performance of multiple-input single-output (MISO) interference channels. By leveraging the additional degrees of freedom provided by MAs, the authors aim to minimize the total transmit power while improving the desired signal and suppressing interference. The optimization problem, which is non-convex due to the constraints on signal-to-interference-plus-noise ratios (SINRs) and the minimum distance between MAs, is solved using an alternating optimization (AO) algorithm. This algorithm alternates between optimizing the MA positions using successive convex approximation (SCA) and optimizing the transmit beamforming vectors using second-order cone programming (SOCP). Numerical results demonstrate that the proposed MA-enabled MISO interference network outperforms conventional systems without MAs, significantly enhancing inter-cell frequency reuse and reducing transmitter complexity. The performance improvement is attributed to the ability of MAs to exploit channel variations and reduce interference correlation, leading to lower total transmit power and higher system capacity.