434 citations · 1.3k across the 83 of their papers we have counts for
25 papers · 1 filter
Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation
Yongjun Kim, Jihong Park, Mehdi Bennis +1
Neural network-based medium access control (MAC) protocol models (NPMs) improve goodput through site-specific operations but are vulnerable to shifts from their training network en…
Enabling the Wireless Metaverse via Semantic Multiverse Communication
Jihong Park, Jinho Choi, Seong-Lyun Kim +1
Metaverse over wireless networks is an emerging use case of the sixth generation (6G) wireless systems, posing unprecedented challenges in terms of its multi-modal data transmissio…
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
Yusuke Koda, Jihong Park, Mehdi Bennis +2
Wireless channels can be inherently privacy-preserving by distorting the received signals due to channel noise, and superpositioning multiple signals over-the-air. By harnessing th…
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks
Ju-Hyung Lee, Jihong Park, Mehdi Bennis +1
A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs) and burgeoning unmanned aerial vehicles (UAVs) are promising enablers for high-speed and long-distance comm…
Towards Enabling Critical mMTC: A Review of URLLC within mMTC
Shiva Raj Pokhrel, Jie Ding, Jihong Park +2
Massive machine-type communication (mMTC) and ultra-reliable and low-latency communication (URLLC) are two key service types in the fifth-generation (5G) communication systems, pur…
Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction
Yusuke Koda, Jihong Park, Mehdi Bennis +3
The goal of this work is the accurate prediction of millimeter-wave received power leveraging both radio frequency (RF) signals and heterogeneous visual data from multiple distribu…
Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks
Ju-Hyung Lee, Jihong Park, Mehdi Bennis +1
A mega-constellation of low-earth orbit (LEO) satellites has the potential to enable long-range communication with low latency. Integrating this with burgeoning unmanned aerial veh…
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction
Yusuke Koda, Jihong Park, Mehdi Bennis +3
The goal of this study is to improve the accuracy of millimeter wave received power prediction by utilizing camera images and radio frequency (RF) signals, while gathering image in…
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory
Hamid Shiri, Jihong Park, Mehdi Bennis
This paper investigates the control of a massive population of UAVs such as drones. The straightforward method of control of UAVs by considering the interactions among them to make…
One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction
Yusuke Koda, Jihong Park, Mehdi Bennis +3
Focusing on the received power prediction of millimeter-wave (mmWave) radio-frequency (RF) signals, we propose a multimodal split learning (SL) framework that integrates RF receive…
Downlink Performance of Dense Antenna Deployment: To Distribute or Concentrate?
Mounia Hamidouche, Ejder Baştuğ, Jihong Park +2
Massive multiple-input multiple-output (massive MIMO) and small cell densification are complementary key 5G enablers. Given a fixed number of the entire base-station antennas per u…
Remote UAV Online Path Planning via Neural Network Based Opportunistic Control
Hamid Shiri, Jihong Park, Mehdi Bennis
This letter proposes a neural network (NN) aided remote unmanned aerial vehicle (UAV) online control algorithm, coined oHJB. By downloading a UAV's state, a base station (BS) train…
Wireless Edge Computing with Latency and Reliability Guarantees
Mohammed S. Elbamby, Cristina Perfecto, Chen-Feng Liu +4
Edge computing is an emerging concept based on distributing computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth gene…
Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with Realistic Channel and Antenna Radiation Models
Mattia Rebato, Jihong Park, Petar Popovski +2
Millimeter-wave (mmWave) bands will play an important role in 5G wireless systems. The system performance can be assessed by using models from stochastic geometry that cater for th…
Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach
Hyesung Kim, Jihong Park, Mehdi Bennis +1
This paper proposes a real-time movement control algorithm for massive unmanned aerial vehicles (UAVs) that provide emergency cellular connections in an urban disaster site. While…
Mean-Field Game Theoretic Edge Caching in Ultra-Dense Networks
Hyesung Kim, Jihong Park, Mehdi Bennis +2
This paper investigates a cellular edge caching problem under a very large number of small base stations (SBSs) and users. In this ultra-dense edge caching network (UDCN), conventi…
Millimeter-Wave Interference Avoidance via Building-Aware Associations
Jeemin Kim, Jihong Park, Seunghwan Kim +3
Signal occlusion by building blockages is a double-edged sword for the performance of millimeter-wave (mmW) communication networks. Buildings may dominantly attenuate the useful si…
Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model
Mattia Rebato, Jihong Park, Petar Popovski +2
Millimeter-wave (mmWave) bands have been attracting growing attention as a possible candidate for next-generation cellular networks, since the available spectrum is orders of magni…
Ultra-Dense Edge Caching under Spatio-Temporal Demand and Network Dynamics
Hyesung Kim, Jihong Park, Mehdi Bennis +2
This paper investigates a cellular edge caching design under an extremely large number of small base stations (SBSs) and users. In this ultra-dense edge caching network (UDCN), SBS…
Cooperative Transmissions in Ultra-Dense Networks under a Bounded Dual-Slope Path Loss Model
Yanpeng Yang, Ki Won Sung, Jihong Park +2
In an Ultra-dense network (UDN) where there are more base stations (BSs) than active users, it is possible that many BSs are instantaneously left idle. Thus, how to utilize these d…
On the Asymptotic Behavior of Ultra-Densification under a Bounded Dual-Slope Path Loss Model
Yanpeng Yang, Jihong Park, Ki Won Sung
In this paper, we investigate the impact of network densification on the performance in terms of downlink signal-to-interference (SIR) coverage probability and network area spectra…
Tractable Resource Management in Millimeter-Wave Overlaid Ultra-Dense Cellular Networks
Jihong Park, Seong-Lyun Kim, Jens Zander
What does millimeter-wave (mmW) seek assistance for from micro-wave (μW) in a mmW overlaid 5G cellular network? This paper raises the question of whether to complement downlink (DL…
Resource Management and Cell Planning in Millimeter-Wave Overlaid Ultra-Dense Cellular Networks
Jihong Park, Seong-Lyun Kim, Jens Zander
This paper proposes a cellular network exploiting millimeter-wave (mmWave) and ultra-densified base stations (BSs) to achieve the far-reaching 5G aim in downlink average rate. The…
Traffic Convexity Aware Cellular Networks: A Vehicular Heavy User Perspective
Taehyoung Shim, Jihong Park, Seung-Woo Ko +3
Rampant mobile traffic increase in modern cellular networks is mostly caused by large-sized multimedia contents. Recent advancements in smart devices as well as radio access techno…