Next Generation Advanced Transceiver Technologies for 6G and Beyond
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.
Authors
- Changsheng You (ORCID: https://orcid.org/0000-0003-3245-9361)
- A. Lee Swindlehurst (ORCID: https://orcid.org/0000-0002-0521-3107)
- Yunlong Cai (ORCID: https://orcid.org/0000-0001-9418-1700)
- Aylin Yener (ORCID: https://orcid.org/0000-0003-0820-3390)
- Tolga M. Duman (ORCID: https://orcid.org/0000-0002-5187-8660)
- Yuanwei Liu (ORCID: https://orcid.org/0000-0002-6389-8941)
- Marco Di Renzo (ORCID: https://orcid.org/0000-0003-0772-8793)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Queen Mary University of London (GB)
- Bilkent University (TR)
- University of California, Irvine (US)
- Université Paris-Saclay (FR)
- Southern University of Science and Technology (CN)
- Laboratoire des signaux et systèmes (FR)
- CentraleSupélec (FR)
- The Ohio State University (US)
- Zhejiang University (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- IEEE Journal on Selected Areas in Communications
- Published
- 2025-01-29
- DOI
- https://doi.org/10.1109/jsac.2025.3536557
- Citations
- 72
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 48.21
Funders
- National Science Foundation
- Agence Nationale de la Recherche
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu