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Jinho Choi

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Sep 2026

A Queue-Aware Scheduling Framework with Reinforcement Learning in Massive MIMO

To support multiple users with quality-of-service (QoS) requirements over shared wireless resources, power control and scheduling are essential. While reinforcement learning (RL) has been applied to learn transmit powers directly, this approach may lack robustness in time-varying channels where optimal power depends on...

Jin-Ho Choi · 0 citations
2026

On the Distribution of Pass Duration and Handover Rate in Mega Satellite Constellations

Low Earth orbit mega constellations are envisioned to revolutionize the current communication systems by providing auxiliary coverage that supplements beyond fifth generation communications. Nevertheless, these constellations exhibit extremely short pass durations owing to their low altitudes and inherent high orbital...

Bassel Al Homssi, Kosta Dakic, Saeed Abdallah et al. · 0 citations
2026

Active or Passive STAR-RIS-Assisted ISAC-NOMA: A Unified Approach

This paper investigates a downlink integrated sensing and communication (ISAC) system utilizing non-orthogonal multiple access (NOMA), empowered by an active simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) operating in energy splitting mode. We maximize the communication sum rat...

Noureen Khan, Muhammad Rehman, Jin-Ho Choi et al. · 0 citations
2026

Structured Reinforcement Learning for User Admission in Multi-Cell Massive MIMO via O-RAN

Artificial intelligence (AI) and machine learning (ML) are increasingly applied to wireless and cellular networks. With sixth-generation (6G) systems envisioned as AI-native, reinforcement learning (RL) offers a natural approach to complex network management and operation. This paper focuses on user admission control i...

Jinho Choi · 0 citations

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