121 citations · 632 across the 60 of their papers we have counts for
6 papers · 1 filter
Bayesian Federated Learning over Wireless Networks
Seunghoon Lee, Chanho Park, Song-Nam Hong +2
Federated learning is a privacy-preserving and distributed training method using heterogeneous data sets stored at local devices. Federated learning over wireless networks requires…
Distributed Precoding Using Local CSIT for MU-MIMO Heterogeneous Cellular Networks
Deokhwan Han, Namyoon Lee
Cell densification is a key driver to increase area spectral efficiencies in multi-antenna cellular systems. As increasing the densities of base stations (BSs) and users that share…
Terahertz Line-Of-Sight MIMO Communication: Theory and Practical Challenges
Heedong Do, Sungmin Cho, Jeonghun Park +3
A relentless trend in wireless communications is the hunger for bandwidth, and fresh bandwidth is only to be found at ever-higher frequencies. While 5G systems are seizing the mmWa…
Orthogonal Sparse Superposition Codes for Ultra-Reliable Low-Latency Communications
Yunseo Nam, Jeonghun Park, Songnam Hong +1
This paper presents a new class of sparse superposition codes for low-rates and short-packet communications over the additive white Gaussian noise channel. The new code is orthogon…
Reconfigurable ULAs for Line-of-Sight MIMO Transmission
Heedong Do, Namyoon Lee, Angel Lozano
This paper establishes an upper bound on the capacity of line-of-sight multiantenna channels over all possible antenna arrangements and shows that uniform linear arrays (ULAs) with…
Noncooperative Precoding for Massive MIMO HetNets: SILNR Maximization Precoding
Deokhwan Han, Namyoon Lee
Massive multi-input multiple-out (MIMO) is a key ingredient in improving the spectral efficiencies for next-generation cellular systems. Thanks to the channel reciprocity, in time-…