4 papers
RadioKMoE: Knowledge-Guided Radiomap Estimation with Kolmogorov-Arnold Networks and Mixture-of-Experts
Fupei Guo, Kerry Pan, Songyang Zhang +2
Radiomap serves as a vital tool for wireless network management and deployment by providing powerful spatial knowledge of signal propagation and coverage. However, increasingly com…
Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation
Zhuoyu Yao, Yue Wang, Songyang Zhang +3
Recent advances in distributed learning systems have introduced effective solutions for implementing collaborative artificial intelligence techniques in wireless communication netw…
Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications
Yueling Zhou, Achintha Wijesinghe, Yue Wang +2
Enriching information of spectrum coverage, radiomap plays an important role in many wireless communication applications, such as resource allocation and network optimization. To e…
Physics-Inspired Distributed Radio Map Estimation
Dong Yang, Yue Wang, Songyang Zhang +2
To gain panoramic awareness of spectrum coverage in complex wireless environments, data-driven learning approaches have recently been introduced for radio map estimation (RME). Whi…