309 citations · 435 across the 34 of their papers we have counts for
6 papers · 1 filter
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-…
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…
Joint Secure Design of Downlink and D2D Cooperation Strategies for Multi-User Systems
Seok-Hwan Park, Xianglan Jin
This work studies the role of inter-user device-to-device (D2D) cooperation for improving physical-layer secret communication in multi-user downlink systems. It is assumed that the…
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency
Seok-Hwan Park, Seongah Jeong, Jinyeop Na +2
Mobile cloud and edge computing protocols make it possible to offer computationally heavy applications to mobile devices via computational offloading from devices to nearby edge se…
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks
Hoon Lee, Junbeom Kim, Seok-Hwan Park
Fog radio access networks (F-RANs), which consist of a cloud and multiple edge nodes (ENs) connected via fronthaul links, have been regarded as promising network architectures. The…
Learning Robust Beamforming for MISO Downlink Systems
Junbeom Kim, Hoon Lee, Seok-Hwan Park
This paper investigates a learning solution for robust beamforming optimization in downlink multi-user systems. A base station (BS) identifies efficient multi-antenna transmission…