Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G
arXiv:2108.04561 · doi:10.1109/JSAC.2022.3145234
Abstract
Due to the explosive growth in the number of wireless devices and diverse wireless services, such as virtual/augmented reality and Internet-of-Everything, next generation wireless networks face unprecedented challenges caused by heterogeneous data traffic, massive connectivity, and ultra-high bandwidth efficiency and ultra-low latency requirements. To address these challenges, advanced multiple access schemes are expected to be developed, namely next generation multiple access (NGMA), which are capable of supporting massive numbers of users in a more resource- and complexity-efficient manner than existing multiple access schemes. As the research on NGMA is in a very early stage, in this paper, we explore the evolution of NGMA with a particular focus on non-orthogonal multiple access (NOMA), i.e., the transition from NOMA to NGMA. In particular, we first review the fundamental capacity limits of NOMA, elaborate on the new requirements for NGMA, and discuss several possible candidate techniques. Moreover, given the high compatibility and flexibility of NOMA, we provide an overview of current research efforts on multi-antenna techniques for NOMA, promising future application scenarios of NOMA, and the interplay between NOMA and other emerging physical layer techniques. Furthermore, we discuss advanced mathematical tools for facilitating the design of NOMA communication systems, including conventional optimization approaches and new machine learning techniques. Next, we propose a unified framework for NGMA based on multiple antennas and NOMA, where both downlink and uplink transmissions are considered, thus setting the foundation for this emerging research area. Finally, several practical implementation challenges for NGMA are highlighted as motivation for future work.
34 pages, 10 figures, a survey paper accepted by the IEEE JSAC special issue on Next Generation Multiple Access
References in corpus (12)
- On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users
- An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing
- STAR: Simultaneous Transmission And Reflection for 360° Coverage by Intelligent Surfaces
- Sub-channel Assignment, Power Allocation and User Scheduling for Non-Orthogonal Multiple Access Networks
- Exploiting Full/Half-Duplex User Relaying in NOMA Systems
- White Paper on Critical and Massive Machine Type Communication Towards 6G
- Modeling and Analysis of Two-Way Relay Non-Orthogonal Multiple Access Systems
- NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems
- Securing Downlink Massive MIMO-NOMA Networks with Artificial Noise
- Spatially Random Relay Selection for Full/Half-Duplex Cooperative NOMA Networks
- Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach
- Joint Interleaver and Modulation Design For Multi-User SWIPT-NOMA
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- STAR-RIS Integrated Non-Orthogonal Multiple Access and Over-the-Air Federated Learning: Framework, Analysis, and Optimization
- Over-the-Air Computation for 6G: Foundations, Technologies, and Applications
- 6G: The Intelligent Network of Everything
- Simultaneously Transmitting and Reflecting Surfaces for Ubiquitous Next Generation Multiple Access in 6G and Beyond
- Downlink MIMO-RSMA with Successive Null-Space Precoding
- NOMA-based Improper Signaling for Multicell MISO RIS-assisted Broadcast Channels
- Physical Layer Security for Integrated Sensing and Communication: A Survey
- Irregular Repetition Slotted Aloha with Multipacket Detection: A Density Evolution Analysis
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