1 citations · 2 across the 7 of their papers we have counts for
7 papers
Rate-Splitting Multiple Access with a SIC-Free Receiver: An Experimental Study
Guoqian Sun, Xinze Lyu, Bruno Clerckx
Most Rate-Splitting Multiple Access (RSMA) implementations rely on successive interference cancellation (SIC) at the receiver, whose performance is inherently limited by error prop…
Rate-Splitting Multiple Access for 6G: Prototypes, Experimental Results and Link/System level Simulations
Sundar Aditya, Yong Jin Daniel Kim, David Vargas +7
Rate-Splitting Multiple Access (RSMA) is a powerful and versatile physical layer multiple access technique that generalizes and has better interference management capabilities than…
Rate-Splitting Multiple Access for Integrated Sensing and Communications: A First Experimental Study
Xinze Lyu, Sundar Aditya, Bruno Clerckx
A canonical use case of Integrated Sensing and Communications (ISAC) in multiple-input multiple-output (MIMO) systems involves a multi-antenna transmitter communicating with us…
Rate-Splitting Multiple Access for Overloaded Multi-group Multicast: A First Experimental Study
Xinze Lyu, Sundar Aditya, Bruno Clerckx
Multi-group multicast (MGM) is an increasingly important form of multi-user wireless communications with several potential applications, such as video streaming, federated learning…
Rate-Splitting Multiple Access for Non-Orthogonal Unicast Multicast: An Experimental Study
Xinze Lyu, Sundar Aditya, Bruno Clerckx
Non-orthogonal unicast multicast (NOUM) is a variant of multi-antenna multi-user communications where the users desire a shared message (multicast) in addition to their respective…
Rate-Splitting Multiple Access: The First Prototype and Experimental Validation of its Superiority over SDMA and NOMA
Xinze Lyu, Sundar Aditya, Junghoon Kim +1
In multi-user multi-antenna communications, it is well-known in theory that Rate-Splitting Multiple Access (RSMA) can achieve a higher spectral efficiency than both Space Division…
Rule-Guided Graph Neural Networks for Recommender Systems
Xinze Lyu, Guangyao Li, Jiacheng Huang +1
To alleviate the cold start problem caused by collaborative filtering in recommender systems, knowledge graphs (KGs) are increasingly employed by many methods as auxiliary resource…