The field of wireless communication systems is rapidly advancing, with a focus on developing 6G networks that can handle a vast number of connected devices and provide ultra-high reliability, seamless automation, and ubiquitous coverage. Recent research has explored the use of fluid antenna systems, finite-blocklength fluid antenna systems, and near-field beam training techniques to improve the efficiency and accuracy of wireless communication systems. Additionally, there is a growing interest in the development of decentralized and autonomous systems, such as robot swarms and embodied intelligence-driven frameworks, that can operate in dynamic and unpredictable environments. Noteworthy papers in this area include the proposal of a novel beam training approach leveraging the beam-diverging effect, which achieves superior beam training performance while maintaining low training overhead, and the introduction of a decentralized network of autonomous robots that use onboard sensors and peer-to-peer communication to collectively verify real-world data and provide it to smart contracts on public blockchains.