Abstract: ‍ ‍Reconfigurable intelligent surface （RIS） technology is one of the key supporting technologies for sixth-generation mobile communication networks （6G）. This technology can significantly enhance signal strength and quality， reduce communication interference， and improve communication performance. Compared with the traditional active antenna array， RIS has lower hardware costs， and its passive working mode results in lower power consumption characteristics. Beamforming technology is one of the key technologies in RIS-assisted communication systems. Previous studies have mainly focused on continuous phase beamforming， addressing typical communication beamforming targets， including maximizing energy efficiency， signal-to-noise ratio， and transmission rate. These studies have achieved significant results and contributed to the performance improvement of communication systems. However， in practical applications， because of cost and hardware limitations， discrete-phase beamforming designs are favored. Existing discrete beamforming schemes cannot easily ensure optimality and rely on high-overhead RIS cascaded channel estimation. To address this issue， this study proposes two 1-bit RIS beamforming methods， including an optimal beamforming method based on segmentation and a low-complexity beamforming method based on a greedy strategy. Both beamforming methods require only angle information and achieve high beamforming gains in a specified direction via clever segmentation and iterative optimization， respectively. Specifically， the beamforming method based on segmentation cleverly designs the phase of each RIS unit through complex plane segmentation to obtain an optimal solution. The beamforming method based on a greedy strategy can achieve near-optimal performance and low complexity by iteratively optimizing the phase of each RIS unit to determine a 1-bit phase configuration. In addition， as the phase error of RIS increases， the segmentation method has slight advantages over the greedy method.