Multiple Access Techniques for Intelligent and Multifunctional 6G: Tutorial, Survey, and Outlook

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Abstract
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that make use of the resource dimensions (e.g., time, frequency, power, antenna, code, and message) to serve multiple users/devices/machines/ services, ideally in the most efficient way. Given the increasing need of multifunctional wireless networks for integrated communications, sensing, localization, and computing, coupled with the surge of machine learning (ML)/artificial intelligence (AI) in wireless networks, MA techniques are expected to experience a paradigm shift in 6G and beyond. In this article, we provide a tutorial, survey, and outlook on past, emerging, and future MA techniques and pay particular attention to how wireless network intelligence and multifunctionality will lead to a rethinking of those techniques. This article starts with an overview of orthogonal, physical-layer multicasting, space domain, power domain (PD), rate-splitting, code-domain MAs, MAs in other domains, and random access (RA), and highlights the importance of conducting research in universal MA (UMA) to shrink instead of grow the knowledge tree of MA schemes by providing a unified understanding of MA schemes across all resource dimensions. It then jumps into rethinking MA schemes in the era of wireless network intelligence, covering AI for MA such as AI-empowered resource allocation, optimization, channel estimation, and receiver designs, for different MA schemes, and MA for AI such as federated learning (FL)/edge intelligence and over-the-air computation (AirComp). We then discuss MA for network multifunctionality and the interplay between MA and integrated sensing, localization, and communications, covering MA for joint sensing and communications, multimodal sensing-aided communications, multimodal sensing and digital twin-assisted communications, and communication-aided sensing/localization systems. We finish with studying MA for emerging intelligent applications such as semantic communications (SeComs), virtual reality (VR), and smart radio and reconfigurable intelligent surfaces (RISs), before presenting a roadmap toward 6G standardization. Throughout the text, we also point out numerous directions that are promising for future research.
Funding Information
  • UK Research and Innovation (UKRI) Impact Acceleration Account (EP/X52556X/1)
  • UK Research and Innovation (EP/X040569/1, EP/Y037197/1, EP/X04047X/1, EP/Y037243/1)
  • National Natural Science Foundation of China (62201347)
  • Shanghai Sailing Program (22YF1428400)
  • Young Elite Scientists Sponsorship Program (CAST 2023QNRC001)
  • Zhejiang Key R&D Program (2023C01021)
  • Fundamental Research Funds for the Central Universities (K2023QA0AL02)
  • National Science Foundation (CNS-2312139, CNS-2332834)
  • National Science Foundation (2048021)
  • Research Grants Council, Hong Kong, SAR, China (25215020, 15203222)
  • Australian Research Council (ARC) Discovery (DP220103596)
  • ARC Linkage (LP200301482)
  • Natural Sciences and Engineering Council of Canada
  • Digital Research Alliance of Canada

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