NOMA for Integrating Sensing and Communication
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 10 May 2024 | Viewed by 304
Special Issue Editor
Interests: AI for wireless communications; integrated sensing; communication and computation; mmWave network; green communication
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the emergence of applications and services, including fully immersive virtual/augmented reality (VR/AR), holographic telepresence, intelligent transportation, Industrial Internet of Things, and global coverage, future 6G networks are expected for unprecedented demands on Integrated Sensing and Communications (ISAC) technologies to facilitate these applications. Recent studies have demonstrated that Non-Orthogonal Multiple Access (NOMA) has potential in the performance enhancement of ISAC systems. This is attributed to NOMA's ability to enable multiple users to share the same resource blocks, including time slots, frequency bands, spreading codes, and power levels, by employing the superposition coding (SC) at the transmitter and the successive interference cancellation (SIC) at the receiver. Additionally, advancements in machine learning and big data offer promising solutions for addressing emerging challenges in NOMA and enhancing its intelligence. Hence, NOMA is considered a potential enabler for the development of ISAC. However, realizing the full potential of NOMA for ISAC still presents significant challenges. There are still many critical research problems that need to be addressed, beyond simply combining existing schemes and incorporating novel concepts.
This Special Issue aims to promote cross-fertilization between NOMA and ISAC by bringing together researchers and industry practitioners to share their latest findings, state-of-the-art results, and new ideas on advanced and innovative solutions, optimization theory, algorithms, and applications for next-generation wireless communication networks.
- Performance analysis of NOMA-enabled ISAC;
- Resource allocation and mobility management for NOMA-enabled ISAC;
- Transceiver design for NOMA-enabled ISAC;
- Green communications for NOMA-enabled ISAC;
- Machine learning (ML)/AI aided NOMA-enabled ISAC;
- Hardware implementation challenges of NOMA-enabled ISAC;
- Advanced coding and modulation in NOMA-enabled ISAC;
- Other possible emerging technologies towards NOMA-enabled ISAC
Dr. Qimei Chen
Guest Editor
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