The field of wireless communication systems is moving towards the development of more efficient and robust methods for signal detection, decoding, and transmission. Researchers are exploring new techniques such as iterative joint detection, probabilistic shaping, and machine learning-based approaches to improve the performance of wireless systems. One of the key areas of focus is on the development of scalable and flexible architectures for multi-antenna and multi-carrier systems. Additionally, there is a growing interest in the use of quantum-based technologies, such as Rydberg atomic receivers, to enable high-sensitivity and interference-resilient communication systems. Notable papers in this area include: The paper on Probabilistic Shaping in MIMO, which demonstrates the potential to achieve gains beyond the AWGN limit. The paper on SA-MIMO, which introduces a novel RF transmitter-atomic receiver architecture and achieves significant gains in MIMO settings.