Spectrum Utilization

Spectrum utilization research focuses on optimizing the use of radio frequencies for efficient and reliable wireless communication, aiming to maximize throughput and minimize energy consumption. Current efforts concentrate on developing advanced algorithms, such as those based on multi-armed bandits, federated learning (including vertical and hierarchical variations), and complex-valued neural networks, to improve resource allocation and scheduling across diverse network architectures like 5G mmWave and fully-decoupled RANs. These advancements are crucial for supporting the growing demand for wireless data and enabling applications like cooperative spectrum sensing and machine learning in resource-constrained environments. The resulting improvements in energy efficiency and spectral efficiency have significant implications for both the design of future wireless systems and the performance of data-intensive applications.