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20232026
most citedGenerative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems

2 citations · 3 across the 22 of their papers we have counts for

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6 papers · 1 filter

eess.SP2026

Beyond Task Relevance: Interaction-Aware Semantic Communication for Wireless Agent Collaboration

Yiru Wang, Pengxin Guan, Xiumei Deng +1

Semantic communication in multi-agent systems often assumes that task-relevant information benefits the team once delivered. Yet semantic sharing can alter the receiver's decision…

eess.SP2026

Adaptive Plug-and-Play Channel Estimation with Consistency Models for MIMO Systems

Jinlong Li, Kexin Fang, Peng Yang +3

This paper proposes a consistency-model-based channel estimation algorithm for multiple-input multiple-output (MIMO) systems. The proposed algorithm employs a consistency model (CM…

eess.SP2025

Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation

Zhaoyang Li, Qianqian Yang, Zehui Xiong +2

Accurate channel prediction is essential in massive multiple-input multiple-output (m-MIMO) systems to improve precoding effectiveness and reduce the overhead of channel state info…

eess.SP2024

Pilot-Aided Joint Time Synchronization and Channel Estimation for OTFS

Jiazheng Sun, Peng Yang, Xianbin Cao +3

This letter proposes a pilot-aided joint time synchronization and channel estimation (JTSCE) algorithm for orthogonal time frequency space (OTFS) systems. Unlike existing algorithm…

eess.SP2024★ 1 cited

FAST: Flexible and Adaptive Semantic Transmission for Resource-constrained Multi-user Generative Semantic Communication

Yiru Wang, Wanting Yang, Fangli Mou +4

The rapid advancement of generative artificial intelligence has spurred innovative approaches to semantic communication, giving rise to a new paradigm known as generative semantic…

eess.SP2024

Harnessing the Power of AI-Generated Content for Semantic Communication

Yiru Wang, Wanting Yang, Zehui Xiong +3

Semantic Communication (SemCom) is envisaged as the next-generation paradigm to address challenges stemming from the conflicts between the increasing volume of transmission data an…