Advanced Frequency Allocation: Integrating Soft Frequency Reuse with Forward-Looking Water-filling Theory

As wireless communication technologies continue to evolve, the optimization of spectrum resources and the refinement of power allocation strategies are increasingly critical for advancing future wireless networks. This study investigates resource allocation within Orthogonal Frequency-Division Multiplexing (OFDM) systems, introducing a novel hybrid algorithm that synergizes Soft Frequency Reuse (SFR) with a forward-looking water-filling theory. This approach aims to enhance overall system capacity and spectral efficiency, while simultaneously mitigating intra-cell interference. Extensive simulation experiments within a multi-cell OFDM framework, particularly under low signal-to-noise ratio conditions, reveal that our algorithm outperforms both traditional SFR and standalone water-filling methods. The results underscore the algorithm's effectiveness in optimizing resource distribution, offering a promising avenue for future research. This paper also discusses the potential for further optimization of resource allocation, focusing on maximizing system capacity even in scenarios with uncertain or inadequate Channel State Information (CSI), highlighting a pivotal direction for future advancements in wireless communication systems. © 2024 IEEE.