The recent advancements in the research area of communication networking and UAV-assisted systems have demonstrated significant progress in optimization techniques, physical layer security, and integrated sensing and communication frameworks. A notable trend is the application of novel decoupling techniques and bounds for handling non-convex optimization problems, particularly in scenarios involving multiplicative and fractional terms. These methods leverage inequalities such as the harmonic mean, geometric mean, arithmetic mean, and quadratic mean to derive efficient solutions. Additionally, the integration of UAVs in communication networks has led to innovative approaches for interference mitigation and secure communication, often utilizing collaborative beamforming and virtual antenna arrays. The field is also witnessing a shift towards unsupervised learning-based approaches and graph neural networks for solving complex optimization problems in integrated sensing and communication systems. These developments highlight a move towards more efficient, secure, and scalable solutions in both communication and sensing domains.