The article "Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network" by Qingqing Wu and Rui Zhang provides an overview of the Intelligent Reflecting Surface (IRS) technology, which is a novel approach to enhance wireless communication networks by reconfiguring the wireless propagation environment using low-cost passive reflecting elements. The authors discuss the main applications, competitive advantages, hardware architecture, and signal model of IRS. They highlight the key challenges in designing and implementing IRS-aided hybrid wireless networks, including passive beamforming design, channel acquisition, and node deployment. Numerical results demonstrate the effectiveness of IRS in creating "signal hotspots" and "interference-free zones" in typical wireless networks. The article also explores the fundamental capacity limits of IRS-aided wireless networks and the potential for autonomous deployment using machine learning techniques. Overall, the integration of IRS into future wireless networks is expected to revolutionize network architecture, enabling more efficient and flexible wireless communication.The article "Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network" by Qingqing Wu and Rui Zhang provides an overview of the Intelligent Reflecting Surface (IRS) technology, which is a novel approach to enhance wireless communication networks by reconfiguring the wireless propagation environment using low-cost passive reflecting elements. The authors discuss the main applications, competitive advantages, hardware architecture, and signal model of IRS. They highlight the key challenges in designing and implementing IRS-aided hybrid wireless networks, including passive beamforming design, channel acquisition, and node deployment. Numerical results demonstrate the effectiveness of IRS in creating "signal hotspots" and "interference-free zones" in typical wireless networks. The article also explores the fundamental capacity limits of IRS-aided wireless networks and the potential for autonomous deployment using machine learning techniques. Overall, the integration of IRS into future wireless networks is expected to revolutionize network architecture, enabling more efficient and flexible wireless communication.