Next Generation Advanced Transceiver Technologies for 6G and Beyond
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Abstract (arXiv)
To accommodate new applications such as extended reality, fully autonomous vehicular networks and the metaverse, next generation wireless networks are going to be subject to much more stringent performance requirements than the fifth-generation (5G) in terms of data rates, reliability, latency, and connectivity. It is thus necessary to develop next generation advanced transceiver (NGAT) technologies for efficient signal transmission and reception. In this tutorial, we explore the evolution of NGAT from three different perspectives. Specifically, we first provide an overview of new-field NGAT technology, which shifts from conventional far-field channel models to new near-field channel models. Then, three new-form NGAT technologies and their design challenges are presented, including reconfigurable intelligent surfaces, flexible antennas, and holographic multi-input multi-output (MIMO) systems. Subsequently, we discuss recent advances in semantic-aware NGAT technologies, which can utilize new metrics for advanced transceiver designs. Finally, we point out other promising transceiver technologies for future research.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Mar 2024.
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Citing papers per year: 2024: 1; 2025: 4; 2026: 3.
8 papers.
- 2024Rate-Adaptive Generative Semantic Communication Using Conditional Diffusion Modelscited by 3
- 2025Adaptive End-to-End Transceiver Design for NextG Pilot-Free and CP-Free Wireless Systemscited by 3
- 2025Rateless Joint Source-Channel Coding, and a Blueprint for 6G Semantic Communications System Designcited by 1
- 2026Low-Latency Generative Semantic Communication via Channel-Realization Flow Matchingcited by 1
- 2025Green Learning for STAR-RIS mmWave Systems with Implicit CSIcited by 0
- 2025Sustainable LSTM-Based Precoding for RIS-Aided mmWave MIMO Systems with Implicit CSIcited by 0
- 2026Near-Field Wideband Channel Estimation for XL-MIMO Systems via Denoising Diffusion Modelcited by 0
- 2026Semantic-Aware Task Clustering for Constructive and Cooperative Multi-Taskingcited by 0
- 2026Low-Latency Generative Semantic Communication via Channel-Realization Flow Matching27 Jul 2026
- 2026Semantic-Aware Task Clustering for Constructive and Cooperative Multi-Tasking23 Jul 2026
- 2026Near-Field Wideband Channel Estimation for XL-MIMO Systems via Denoising Diffusion Model22 Apr 2026
- 2025Adaptive End-to-End Transceiver Design for NextG Pilot-Free and CP-Free Wireless Systems29 Oct 2025
- 2025Sustainable LSTM-Based Precoding for RIS-Aided mmWave MIMO Systems with Implicit CSI16 Sep 2025
- 2025Green Learning for STAR-RIS mmWave Systems with Implicit CSI8 Sep 2025
- 2025Rateless Joint Source-Channel Coding, and a Blueprint for 6G Semantic Communications System Design10 Feb 2025
- 2024Rate-Adaptive Generative Semantic Communication Using Conditional Diffusion Models4 Sep 2024