Abstract
The rising use of wireless interfaces necessitates effective spectral reuse, addressed here through a novel Fuzzy Logic-inspired Enhanced Reinforced Learning (FL-eRL) technique. This paper explores robust spectrum access within wireless sharing networks, leveraging fuzzy-game strategies against routing uncertainties. Decision-making spaces are modelled as fuzzy-logical areas, using fuzzy values to represent ambiguous data, enhancing resilience to incentive variability, and maintaining network speed amidst uncertainties. This approach enables controllers to make informed, collective decisions through fuzzy analysis. Validated through rigorous testing in variable conditions, this technique promises significant advancements for next-generation communication systems in volatile settings, underscoring its pivotal role in future network management.
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