8 citations · 16 across the 10 of their papers we have counts for
11 papers
Tri-Hybrid Beamforming Design for Large-Scale MIMO ISAC Systems
Tianyu Fang, Mengyuan Ma, Markku Juntti +3
Tri-hybrid multiple-input multiple-output (MIMO) architectures have been proposed as a promising solution for enabling energy-efficient communications systems in large-scale antenn…
Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target
Zhilin Fu, Sangmin Kim, Sangwon Hwang +4
In this paper, we study the power allocation for an integrated sensing and communication (ISAC) system which tracks a mobile target. We first model the problem as a Markov decision…
Robust Precoding Designs of RSMA for Multiuser MIMO Systems
Wentao Zhou, Yijie Mao, Di Zhang +2
Rate-splitting multiple access (RSMA) has been studied for multiuser multiple-input multiple-output (MUMIMO) systems especially in the presence of imperfect channel state informati…
On the Convergence of Large Language Model Optimizer for Black-Box Network Management
Hoon Lee, Wentao Zhou, Merouane Debbah +1
Future wireless networks are expected to incorporate diverse services that often lack general mathematical models. To address such black-box network management tasks, the large lan…
SNR-aware Semantic Image Transmission with Deep Learning-based Channel Estimation in Fading Channels
Mahmoud M. Salim, Mohamed S. Abdalzaher, Ali H. Muqaibel +2
Semantic communications (SCs) play a central role in shaping the future of the sixth generation (6G) wireless systems, which leverage rapid advances in deep learning (DL). In this…
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
Joint Beamforming Design for Integrated Sensing and Communication Systems with Hybrid-Colluding Eavesdroppers
Meiding Liu, Zhengchun Zhou, Qiao Shi +4
In this paper, we consider the physical layer security (PLS) problem for integrated sensing and communication (ISAC) systems in the presence of hybrid-colluding eavesdroppers, wher…
Large Language Models for Knowledge-Free Network Management: Feasibility Study and Opportunities
Hoon Lee, Mintae Kim, Seunghwan Baek +3
Traditional network management algorithms have relied on prior knowledge of system models and networking scenarios. In practice, a universal optimization framework is desirable whe…
Robust Precoding Designs for Multiuser MIMO Systems with Limited Feedback
Wentao Zhou, Di Zhang, Merouane Debbah +1
It has been well known that the achievable rate of multiuser multiple-input multiple-output systems with limited feedback is severely degraded by quantization errors when the numbe…
Cooperative Multi-Agent Deep Reinforcement Learning Methods for UAV-aided Mobile Edge Computing Networks
Mintae Kim, Hoon Lee, Sangwon Hwang +2
This paper presents a cooperative multi-agent deep reinforcement learning (MADRL) approach for unmmaned aerial vehicle (UAV)-aided mobile edge computing (MEC) networks. An UAV with…
Intelligent Reflecting Surface Assisted Integrated Sensing and Communications for mmWave Channels
Zhengyu Zhu, Zheng Li, Zheng Chu +4
This paper proposes an intelligent reflecting surface (IRS) assisted integrated sensing and communication (ISAC) system operating at the millimeter-wave (mmWave) band. Specifically…