复杂性与不确定性: 无线通信面临的双重挑战
摘要
One of the fundamental challenges faced by new developments in Deep Space Communications, Mobile Communications and Military Communications is the detrimental effects of complexity and uncertainty which inevitably arise in wireless communication processing. The solution to this problem has become a hot-spot for the state-of-the-art research in wireless communications. Inspired by developments in artificial intelligence and cellular networks, this paper introduces a promising research paradigm based on structural processing. By appropriately utilizing structural processing based on the analysis of the effects of complexity and uncertainty,the bottlenecks in wireless communications might be overcome, opening new avenues to wireless communication theory and technology advancements. The effectiveness of the proposed paradigm is demonstrated by examples from problems typically encountered in wireless communications, such as information representation and channel coding.