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most citedRobust Precoding Designs for Multiuser MIMO Systems with Limited Feedback

8 citations · 11 across the 8 of their papers we have counts for

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cs.IT2025

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…

cs.IT2025

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…

cs.IT2025

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…

cs.IT20248 cited

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…

cs.IT2024

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…