5 papers
Scalable and Convergent Generalized Power Iteration Precoding for Massive MIMO Systems
Seunghyeong Yoo, Mintaek Oh, Jeonghun Park +2
In massive multiple-input multiple-output (MIMO) systems, achieving high spectral efficiency (SE) often requires advanced precoding algorithms whose complexity scales rapidly with…
Scalable Beamforming Design for Multi-RIS-Aided MU-MIMO Systems with Imperfect CSIT
Mintaek Oh, Jinseok Choi
This paper presents a scalable beamforming design for maximizing the spectral efficiency (SE) of multi-reconfigurable intelligent surface (RIS)-aided communications through joint o…
Full-Duplex Multiuser MISO Under Coarse Quantization: Per-Antenna SQNR Analysis and Beamforming Design
Seunghyeong Yoo, Jaehyun Kim, Seokjun Park +3
We investigate full-duplex (FD) multi-user multiple input single-output systems with coarse quantization, aiming to characterize the impact of employing low-resolution analog-to-di…
Hybrid Precoding Revisited: Low-Dimensional Subspace Perspective for MU-MIMO Systems
Mintaek Oh, Jinseok Choi
This letter presents a low-complexity hybrid precoding framework for multiuser multiple-input multiple-output (MIMO) systems by leveraging a low-dimensional subspace property. Unde…
E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models
Chan Kim, Keonwoo Kim, Mintaek Oh +10
Large language models (LLMs) have shown significant potential in guiding embodied agents to execute language instructions across a range of tasks, including robotic manipulation an…