Zhe Wang

Zhe Wang

Ph.D. Candidate, Beijing Jiaong University

Submitted Papers

You can also find my articles on my Google Scholar profile.

We have uploaded some of the latest research papers to arXiv. You can view these papers easily before their formal publications.

Generative AI Agent for Next-Generation MIMO Design: Fundamentals, Challenges, and Vision

Uploaded: arXiv

We study generative artificial intelligence (AI) agent-enabled next-generation MIMO design. Firstly, we provide an overview of the development, fundamentals, and challenges of the next-generation MIMO. Then, we propose the concept of the generative AI agent, which is capable of generating tailored and specialized contents with the aid of large language model (LLM) and retrieval augmented generation (RAG). Next, we comprehensively discuss the features and advantages of the generative AI agent framework. More importantly, to tackle existing challenges of next-generation MIMO, we discuss generative AI agent-enabled next-generation MIMO design, from the perspective of performance analysis, signal processing, and resource allocation.

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Citation: Zhe Wang, Jiayi Zhang, Hongyang Du, Ruichen Zhang, Dusit Niyato, Bo Ai, and Khaled B. Letaief, "Generative AI Agent for Next-Generation MIMO Design: Fundamentals, Challenges, and Vision," 2404.08878, 2024.
Paper Link: https://arxiv.org/pdf/2404.08878.pdf