7 citations · 7 across the 5 of their papers we have counts for
5 papers
Sparse Vector Transmission: An Idea Whose Time Has Come
Wonjun Kim, Hyoungju Ji, Hyojin Lee +3
In recent years, we are witnessing bewildering variety of automated services and applications of vehicles, robots, sensors, and machines powered by the artificial intelligence tech…
Deep Neural Network Based Active User Detection for Grant-free NOMA Systems
Wonjun Kim, Youngjun Ahn, Byonghyo Shim
As a means to support the access of massive machine-type communication devices, grant-free access and non-orthogonal multiple access (NOMA) have received great deal of attention in…
Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO with Lens-Array
Ziwei Wan, Zhen Gao, Byonghyo Shim +3
Channel estimation (CE) for millimeter-wave (mmWave) lens-array suffers from prohibitive training overhead, whereas the state-of-the-art solutions require an extra complicated radi…
Channel aware sparse transmission for ultra low-latency communications in TDD systems
Wonjun Kim, Hyoungju Ji, Byonghyo Shim
Major goal of ultra reliable and low latency communication (URLLC) is to reduce the latency down to a millisecond (ms) level while ensuring reliability of the transmission. Since t…
Greedy Sparse Signal Recovery with Tree Pruning
Jaeseok Lee, Suhyuk Kwon, Jun Won Choi +1
Recently, greedy algorithm has received much attention as a cost-effective means to reconstruct the sparse signals from compressed measurements. Much of previous work has focused o…