The field of wireless communication is witnessing a significant shift towards optimizing information freshness and reliability. Researchers are exploring innovative techniques to estimate errors, optimize beamforming, and improve the age of information in various wireless networks. A key direction is the development of new metrics, such as the Age of Incorrect Semantics and Task-oriented Age of Information, which jointly consider information freshness and semantic importance. Another important area of research is the optimization of scheduling policies and transmission protocols to minimize age of information and maximize throughput. Noteworthy papers in this area include:

• OddEEC, which proposes a novel error estimating coding scheme with comparable estimation accuracy and smaller decoding complexity.
• Bandit-Based Charging with Beamforming, which presents a bandit-based charging framework for wireless-powered IoT systems with mobile chargers and practical beamforming capabilities.
• Understanding the Fundamental Trade-Off Between Age of Information and Throughput, which characterizes the trade-off between throughput and age of information in unreliable wireless networks and proposes a simple scheduling policy to optimize both metrics.