activity
20122026
most citedJoint Precoding and Multivariate Backhaul Compression for the Downlink of Cloud Radio Access Networks

309 citations · 435 across the 34 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.IT2019

Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding

Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai

In modern implementations of Cloud Radio Access Network (C-RAN), the fronthaul transport network will often be packet-based and it will have a multi-hop architecture built with gen…

eess.SP2019

Optimizing Pilots and Analog Processing for Channel Estimation in Cell-Free Massive MIMO With One-Bit ADCs

Seok-Hwan Park, Osvaldo Simeone, Yonina C. Eldar +1

In a cell-free cloud radio access network (C-RAN) architecture, uplink channel estimation is carried out by a centralized baseband processing unit (BBU) connected to distributed re…

eess.SP2019★ 3 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…

cs.IT2019

Joint Design of Fronthauling and Hybrid Beamforming for Downlink C-RAN Systems

Jaein Kim, Seok-Hwan Park, Osvaldo Simeone +2

Hybrid beamforming is known to be a cost-effective and wide-spread solution for a system with large-scale antenna arrays. This work studies the optimization of the analog and digit…

eess.SP2019★ 9 cited

Online Reinforcement Learning of X-Haul Content Delivery Mode in Fog Radio Access Networks

Jihwan Moon, Osvaldo Simeone, Seok-Hwan Park +1

We consider a Fog Radio Access Network (F-RAN) with a Base Band Unit (BBU) in the cloud and multiple cache-enabled enhanced Remote Radio Heads (eRRHs). The system aims at deliverin…