6 papers
Optimization of Collaborative Semantic Communication Network Performance with Channel and Content Preference Feedback
Defeng Zhou, Dongyu Wei, Siyao Li +1
Existing semantic communication frameworks treat and transmit all image regions with equal importance, which is not practical for real-world applications which may prioritize diffe…
Joint Device Pairing and Bandwidth Allocation Optimisation for Semantic Feature Multiple Access Networks
Jiaxiang Wang, Zhaohui Yang, Mingzhe Chen +1
This paper presents a Semantic Feature Multiple Access (SFMA) framework for multi-user semantic communication in downlink wireless systems. By extending SwinJSCC to a two-user supe…
Semantic Feature Multiple Access Empowered Integrated Learning and Communication Networks
Jiaxiang Wang, Zhouxiang Zhao, Yahao Ding +4
Integrated learning and communication (ILAC) unifies learned transceivers with radio resource management, where semantic feature multiple access (SFMA) enables paired users to supe…
Privacy Preserving Semantic Communications Using Vision Language Models: A Segmentation and Generation Approach
Haoran Chang, Mingzhe Chen, Huaxia Wang +1
Semantic communication has emerged as a promising paradigm for next-generation wireless systems, improving the communication efficiency by transmitting high-level semantic features…
Model-based Deep Learning for Wireless Resource Allocation in RSMA Communications Systems
Hanwen Zhang, Mingzhe Chen, Alireza Vahid +2
Rate-splitting multiple access (RSMA) has been proven as an effective communication scheme for 5G and beyond. However, current approaches to RSMA resource management require compli…
Model-based Deep Learning for QoS-Aware Rate-Splitting Multiple Access Wireless Systems
Hanwen Zhang, Mingzhe Chen, Alireza Vahid +2
Next generation communications demand for better spectrum management, lower latency, and guaranteed quality-of-service (QoS). Recently, Artificial intelligence (AI) has been widely…