About this Research Topic
The physical layer is often considered as the major limitation of a communication system, and its performances completely define what can be achieved in higher layers. Thus, new mobile systems generations have to match physical layer techniques to goals and services it aspires to. This Research Topic aims to address physical layer challenges and accordingly candidate techniques to future mobile systems, i.e. B5G and 6G systems. The characterization of B5G/6G systems and its physical layer (PHY), as well as all novel and advanced techniques needed to set it up, are to be examined and considered within the framework of this Research Topic. This includes novelties and concepts such as Reconfigurable Intelligent surfaces (RIS), massive multiple-input multiple output (MIMO), non-orthogonal multiple access, energy harvesting, millimeter-wave bands, device-to-device communication, machine learning, artificial intelligence, etc., new waveforms, modulation and coding techniques, as well as proposed solutions like techniques for MIMO signal processing, antenna design, Artificial Intelligence empowered RAN, waveforms design, resource allocation, interference managements, etc.
Beyond 5G (B5G) aims to provide advanced functions such as lower latency, higher reliability, wider coverage, more connectivity, more efficient use of energy and bandwidth, and better levels of intelligence and security. It has thus attracted many research efforts for development, engineering, and deployment, introducing a new paradigm changing and redefining this next generation. In fact, there is an increasing growth of mobile devices and applications, assorted with increasing bandwidth and performance requirements, to be fulfilled. From the physical layer (PHY) perspective, many aspects have to be revisited in order to meet the B5G objectives. This Research Topic is meant to reflect current challenges, latest discoveries, and future perspectives on PHY aspects and techniques.
This Research Topic covers the following directions, but not limited to:
- Advanced modulation techniques (multi-carrier modulation and waveform design)
- Channel coding and diversity techniques for 6G
- Channel modeling, estimation, and equalization in 6G
- Multiple Access Techniques and Multiuser Detection
- Smart antennas: MIMO, Massive MIMO and beamforming
- Signal processing for wireless communications
- Resource Allocation and Interference Management
- Information theory and channel capacity estimation for 6G
- Game theory applied to physical layer functions
- Machine learning empowered techniques for physical layer functions
- Standard-related activities (e.g., IEEE, 3GPP, etc.)
- RIS applications in B5G and 6G networks.
- Channel estimation and beamforming in RIS enabled 6G networks.
All original articles, review articles, as well as perspective articles across the full section scope are welcome.
Beyond 5G (B5G) aims to provide advanced functions such as lower latency, higher reliability, wider coverage, more connectivity, more efficient use of energy and bandwidth, and better levels of intelligence and security. It has thus attracted many research efforts for development, engineering, and deployment, introducing a new paradigm changing and redefining this next generation. In fact, there is an increasing growth of mobile devices and applications, assorted with increasing bandwidth and performance requirements, to be fulfilled. From the physical layer (PHY) perspective, many aspects have to be revisited in order to meet the B5G objectives. This Research Topic is meant to reflect current challenges, latest discoveries, and future perspectives on PHY aspects and techniques.
This Research Topic covers the following directions, but not limited to:
- Advanced modulation techniques (multi-carrier modulation and waveform design)
- Channel coding and diversity techniques for 6G
- Channel modeling, estimation, and equalization in 6G
- Multiple Access Techniques and Multiuser Detection
- Smart antennas: MIMO, Massive MIMO and beamforming
- Signal processing for wireless communications
- Resource Allocation and Interference Management
- Information theory and channel capacity estimation for 6G
- Game theory applied to physical layer functions
- Machine learning empowered techniques for physical layer functions
- Standard-related activities (e.g., IEEE, 3GPP, etc.)
- RIS applications in B5G and 6G networks.
- Channel estimation and beamforming in RIS enabled 6G networks.
All original articles, review articles, as well as perspective articles across the full section scope are welcome.
Keywords: B5G, 6G, Physical layer, Waveforms, Channel Coding, Resource allocation, massive MIMO, THz communications
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
