CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture

arXiv:2405.02323v1 Announce Type: cross
Abstract: To satisfy the growing throughput demand of data-intensive applications, the performance of optical communication systems increased dramatically in recent years. With higher throughput, more advanced equalizers are crucial, to compensate for impairments caused by inter-symbol interference (ISI). The latest research shows that artificial neural network (ANN)-based equalizers are promising candidates to replace traditional algorithms for high-throughput communications. On the other hand, not only throughput but also flexibility is a main objective of beyond-5G and 6G …

abstract advanced applications architecture arxiv cnn communication communications cs.ar cs.lg data demand eess.sp equalization fpga hardware interference latest optical performance research shows systems type