33 citations · 85 across the 18 of their papers we have counts for
19 papers
Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches
Junghoon Kim, Taejoon Kim, Anindya Bijoy Das +3
Although user cooperation cannot improve the capacity of Gaussian two-way channels (GTWCs) with independent noises, it can improve communication reliability. In this work, we aim t…
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…
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning
Junghoon Kim, Taejoon Kim, David Love +1
The design of codes for feedback-enabled communications has been a long-standing open problem. Recent research on non-linear, deep learning-based coding schemes have demonstrated s…
Learning-Based Adaptive User Selection in Millimeter Wave Hybrid Beamforming Systems
Junghoon Kim, Matthew Andrews
We consider a multi-user hybrid beamforming system, where the multiplexing gain is limited by the small number of RF chains employed at the base station (BS). To allow greater free…
Linear Coding for Gaussian Two-Way Channels
Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim +2
We consider linear coding for Gaussian two-way channels (GTWCs), in which each user generates the transmit symbols by linearly encoding both its message and the past received symbo…
Foundations of Wireless Information and Power Transfer: Theory, Prototypes, and Experiments
Bruno Clerckx, Junghoon Kim, Kae Won Choi +1
As wireless has disrupted communications, wireless will also disrupt the delivery of energy. Future wireless networks will be equipped with (radiative) wireless power transfer (WPT…