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20172022
most citedConvergence Analysis of Optimization Algorithms

12 citations · 19 across the 6 of their papers we have counts for

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5 papers · 1 filter

eess.SP2022

Robust Design of Rate-Splitting Multiple Access With Imperfect CSI for Cell-Free MIMO Systems

Daesung Yu, Seok-Hwan Park, Osvaldo Simeone +1

Rate-Splitting Multiple Access (RSMA) for multi-user downlink operates by splitting the message for each user equipment (UE) into a private message and a set of common messages, wh…

eess.SP2021

Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks

Daesung Yu, Hoon Lee, Seok-Hwan Park +1

Cooperative beamforming across access points (APs) and fronthaul quantization strategies are essential for cloud radio access network (C-RAN) systems. The nonconvexity of the C-RAN…

eess.SP20201 cited

Optimizing Over-the-Air Computation in IRS-Aided C-RAN Systems

Daesung Yu, Seok-Hwan Park, Osvaldo Simeone +1

Over-the-air computation (AirComp) is an efficient solution to enable federated learning on wireless channels. AirComp assumes that the wireless channels from different devices can…

eess.SP20203 cited

Inter-Tenant Cooperative Reception for C-RAN Systems With Spectrum Pooling

Junbeom Kim, Daesung Yu, Seok-Hwan Park +2

This work studies the uplink of a multi-tenant cloud radio access network (C-RAN) system with spectrum pooling. In the system, each operator has a cloud processor (CP) connected to…

eess.SP20193 cited

An Efficient Rate-Splitting Multiple Access Scheme for the Downlink of C-RAN Systems

Daesung Yu, Junbeom Kim, Seok-Hwan Park

This work studies the optimization of rate-splitting multiple access (RSMA) transmission technique for a cloud radio access network (C-RAN) downlink system. Main idea of RSMA is to…