IEEE JSTSP Special Issue on Intelligent Signal Processing and Learning for Next Generation Multiple Access

Manuscript Due: 31 January 2024
Publication Date: November 2024

Challenging heterogeneous services and applications, such as virtual reality and industry 4.0, urges for more efficient next generation multiple access (NGMA) techniques to address the unprecedented massive user access, heterogeneous data traffic, high spectral efficiency, and low latency services. NGMA is expected to remove the orthogonality of resource blocks (RBs) and ensure that all possible RBs, such as time slots, frequency bands, spreading codes, and power levels, can be utilized in the most effective manner. Thus, it would be an important enabling technology to realize the key performance indicators for the design of the sixth-generation (6G) wireless systems. However, designing NGMA and achieving its full potential in practice is difficult, as it raises many important signal processing challenges. Recent advances in intelligent signal processing and learning have been attracting considerable attention from researchers, as they provide promising approaches to deal with complex and previously intractable digital signal processing problems, and result in enhanced system capacity, spectral efficiency, reliability, robustness, connectivity and overall latency reduction. However, realizing the full potential of NGMA in practical communication scenarios is challenging, and there are still many important open research problems in using intelligent signal processing and learning-based technology in NGMA.

This special issue invites novel contributions from researchers and practitioners, and seeks to advance intelligent signal processing and learning technology for NGMA. We solicit high-quality original research papers on topics including, but not limited to:

  • Coding, modulation, synchronization, detection, limited feedback design, and equalization for NGMA
  • Intelligent resource management and power control for NGMA
  • Intelligent massive random access
  • Advanced NGMA for emerging functions, e.g., integrated sensing and communication (ISAC), integrated navigation and communication (INAC). •
  • Advanced NGMA with reflecting/transmitting/simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surfaces (RISs) and holographic MIMO.
  • Advanced NGMA aided scenarios, e.g., satellite communications, near-filed communications, mmWave/THz communications, ultra-reliable and low-latency communications (URLLC) and semantic communications.
  • Cross synergies between AI and NGMA
  • Evolution of NOMA toward NGMA
  • Hardware implementation challenges in NGMA

Prospective authors should follow the instructions given on the IEEE JSTSP webpages,  and submit their manuscripts.

Important Dates

  • Submissions due: January 31, 2024
  • First Review due: March 31, 2024
  • Revised manuscript due: May 31, 2024
  • Second review due: July 15, 2024
  • Final manuscript due: August 31, 2024
  • Publication Date: November, 2024

Guest Editors