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20132025
most citedOptimal Fronthaul Quantization for Cloud Radio Positioning

19 citations · 37 across the 21 of their papers we have counts for

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7 papers · 1 filter

eess.SP2025

Exploring the Near and Far-Field Coexistence for RIS-Assisted ISAC Systems: An Adaptive Bandwidth Splitting Approach

Seonghoon Yoo, Jaemin Jung, Seongah Jeong +3

Integrated sensing and communication (ISAC) enables the joint use of spectrum and hardware resources for radar sensing and data transmission, serving as a key enabler of next-gener…

eess.SP2023★ 1 cited

Energy-Efficient Secure Offloading System Designed via UAV-Mounted Intelligent Reflecting Surface for Resilience Enhancement

Doyoung Kim, Seongah Jeong, Jinkyu Kang

With increasing interest in mmWave and THz communication systems, an unmanned aerial vehicle (UAV)-mounted intelligent reflecting surface (IRS) has been suggested as a key enabling…

eess.SP2023★ 1 cited

Cache-assisted Mobile Edge Computing over Space-Air-Ground Integrated Networks for Extended Reality Applications

Seonghoon Yoo, Seongah Jeong, Jeongbin Kim +1

Extended reality-enabled Internet of Things (XRI) provides the new user experience and the sense of immersion by adding virtual elements to the real world through Internet of Thing…

eess.SP2023

Energy-Efficient Vehicular Edge Computing with One-by-one Access Scheme

Youngsu Jang, Seongah Jeong, Joonhyuk Kang

With the advent of ever-growing vehicular applications, vehicular edge computing (VEC) has been a promising solution to augment the computing capacity of future smart vehicles. The…

eess.SP2022

Hybrid UAV-enabled Secure Offloading via Deep Reinforcement Learning

Seonghoon Yoo, Seongah Jeong, Joonhyuk Kang

Unmanned aerial vehicles (UAVs) have been actively studied as moving cloudlets to provide application offloading opportunities and to enhance the security level of user equipments…

eess.SP2021

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…

eess.SP2019★ 1 cited

Energy-Efficient Task Offloading for Vehicular Edge Computing: Joint Optimization of Offloading and Bit Allocation

Youngsu Jang, Jinyeop Na, Seongah Jeong +1

With the rapid development of vehicular networks, various applications that require high computation resources have emerged. To efficiently execute these applications, vehicular ed…