The field of reconfigurable antennas and communication systems is experiencing significant advancements, driven by the need for flexible, energy-efficient, and cost-effective solutions. Researchers are exploring innovative approaches to improve reliability, efficiency, and performance in wireless networks. One key direction is the integration of reconfigurable intelligent surfaces (RIS), spatial shift keying (SSK), and code index modulation (CIM) to enhance error rates and overall reliability. Another area of focus is the optimization of antenna systems, including the use of deep learning techniques to select optimal antenna activation policies and the development of soft robotics-inspired flexible antenna arrays. Additionally, researchers are investigating the optimization of probabilistic constellation shaping for optical OFDM systems to maximize channel capacity and mitigate clipping distortion. Noteworthy papers include:

• A novel communication system model integrating RIS, SSK, and CIM for improved reliability and efficiency.
• A deep learning approach to optimize two-state pinching antennas systems for maximum communication rate.
• A soft robotics-inspired flexible antenna array with continuous deformation of its geometry for improved sum rate in multi-user multiple-input single-output downlink systems.