4 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
On the Performance of Deep Learning-based Data-aided Active User Detection for GF-SCMA System
Minsig Han, Ameha Tsegaye Abebe, Chung G. Kang
The recent works on a deep learning (DL)-based joint design of preamble set for the transmitters and data-aided active user detection (AUD) in the receiver has demonstrated a signi…
DRL-based Distributed Resource Allocation for Edge Computing in Cell-Free Massive MIMO Network
Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung G. Kang
In this paper, with the aim of addressing the stringent computing and quality-of-service (QoS) requirements of recently introduced advanced multimedia services, we consider a cell-…
Data-aided Active User Detection with a User Activity Extraction Network for Grant-free SCMA Systems
Minsig Han, Ameha T. Abebe, Chung G. Kang
In grant-free sparse code multiple access (GF-SCMA) system, active user detection (AUD) is a major performance bottleneck as it involves complex combinatorial problem, which makes…
Multi-Agent Reinforcement Learning for Distributed Joint Communication and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile Edge Computing Network
Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung G. Kang
To support the newly introduced multimedia services with ultra-low latency and extensive computation requirements, resource-constrained end user devices should utilize the ubiquito…