A novel implementation of folding signal interference suppression based on stochastic logic

Abstract

Digital cancellation is a key method for interference suppression in communication systems but it fails under receiver saturation. This paper proposes a novel signal folding-based interference cancellation architecture to prevent signal clipping caused by dynamic range overflow. We then combine the folding method with stochastic logic to reduce hardware costs, addressing the bottleneck of traditional stochastic computation where adders, rather than multipliers, limit performance. A new stochastic adder enables signal folding in the probability domain, which facilitates efficient interference suppression. Measurement results demonstrate that the proposed design reduces delay by at least 52.4% and lowers hardware costs by 59.6% compared to conventional approaches.