121 citations · 632 across the 60 of their papers we have counts for
6 papers · 1 filter
Communication-Efficient Federated Learning via Quantized Compressed Sensing
Yongjeong Oh, Namyoon Lee, Yo-Seb Jeon +1
In this paper, we present a communication-efficient federated learning framework inspired by quantized compressed sensing. The presented framework consists of gradient compression…
A Tractable Approach to Coverage Analysis in Downlink Satellite Networks
Jeonghun Park, Jinseok Choi, Namyoon Lee
Satellite networks are promising to provide ubiquitous and high-capacity global wireless connectivity. Traditionally, satellite networks are modeled by placing satellites on a grid…
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning
Chanho Park, Seunghoon Lee, Namyoon Lee
In this paper, we consider the problem of wireless federated learning based on sign stochastic gradient descent (signSGD) algorithm via a multiple access channel. When sending loca…
Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems
Jinseok Choi, Jeonghun Park, Namyoon Lee
The use of low-resolution digital-to-analog and analog-to-digital converters (DACs and ADCs) significantly benefits energy efficiency (EE) at the cost of high quantization noise in…
Rate-Splitting Multiple Access for Downlink MIMO: A Generalized Power Iteration Approach
Jeonghun Park, Jinseok Choi, Namyoon Lee +2
Rate-splitting multiple access (RSMA) is a general multiple access scheme for downlink multi-antenna systems embracing both classical spatial division multiple access and more rece…
Sparse Joint Transmission for Cloud Radio Access Networks with Limited Fronthaul Capacity
Deokhwan Han, Jeonghun Park, Seok-Hwan Park +1
A cloud radio access network (C-RAN) is a promising cellular network, wherein densely deployed multi-antenna remote-radio-heads (RRHs) jointly serve many users using the same time-…