Reconfigurable intelligent surface (RIS) has gained enormous attention in academia and industry in recent times. It is envisioned that RIS will have the potential to improve the spectral and energy efficiency of next-generation wireless networks at a minimum of hardware and power operational costs. RIS consists of several low-cost and low-powered tiny passive reflecting elements. These elements have the potential to reconfigure the propagation environment by adjusting the phase shifts of passive reflecting elements without requiring a dedicated radio frequency chain. Hence, these elements have the tendency to smartly control the wireless channels to achieve any key performance indicators: high spectral efficiency, high energy efficiency, and minimizing the total transmit power to achieve the objectives of green communications, making it a superior technology over active relays that opens a new research direction for future wireless communication systems. The recent advancement in RIS makes it a suitable candidate for future 6G wireless networks.
This Research Topic aims to provide a venture for researchers and academicians to share their latest results on the development of RIS-aided communications and stimulate the development of efficient algorithms to empower future wireless communications.
This Research Topic assembles high-quality research papers in the following areas:
1) Precoding designs for RIS-enabled wireless communication systems,
2) Channel modeling for RIS-enabled future wireless networks,
3) Precoding design for RIS-enabled wireless communications with limited feedback,
4) Performance analysis of RIS-aided communications,
5) Latest results of test bed implementation of RIS,
6) RIS-aided communications for mmWave/THz bands,
7) Application of RIS in mobile edge computing,
8) RIS-enabled cooperative communications,
9) RIS-enabled physical layer security,
10) RIS-enabled vehicular communications,
11) UAV-RIS-enabled communications,
12) RIS-enabled cell-free networks,
13) RIS-enabled NOMA-based wireless networks,
14) Machine learning-based optimization for RIS-enabled wireless networks,
15) Integration of RIS with SWIPT and IoT networks,
16) Integrating sensing and communications for RIS,
17) RIS-enabled mmWave massive MIMO systems.
Keywords:
Integrated sensing and communication, Reconfigurable intelligent surface, Precoding, mmWave/THz, IoT
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.
Reconfigurable intelligent surface (RIS) has gained enormous attention in academia and industry in recent times. It is envisioned that RIS will have the potential to improve the spectral and energy efficiency of next-generation wireless networks at a minimum of hardware and power operational costs. RIS consists of several low-cost and low-powered tiny passive reflecting elements. These elements have the potential to reconfigure the propagation environment by adjusting the phase shifts of passive reflecting elements without requiring a dedicated radio frequency chain. Hence, these elements have the tendency to smartly control the wireless channels to achieve any key performance indicators: high spectral efficiency, high energy efficiency, and minimizing the total transmit power to achieve the objectives of green communications, making it a superior technology over active relays that opens a new research direction for future wireless communication systems. The recent advancement in RIS makes it a suitable candidate for future 6G wireless networks.
This Research Topic aims to provide a venture for researchers and academicians to share their latest results on the development of RIS-aided communications and stimulate the development of efficient algorithms to empower future wireless communications.
This Research Topic assembles high-quality research papers in the following areas:
1) Precoding designs for RIS-enabled wireless communication systems,
2) Channel modeling for RIS-enabled future wireless networks,
3) Precoding design for RIS-enabled wireless communications with limited feedback,
4) Performance analysis of RIS-aided communications,
5) Latest results of test bed implementation of RIS,
6) RIS-aided communications for mmWave/THz bands,
7) Application of RIS in mobile edge computing,
8) RIS-enabled cooperative communications,
9) RIS-enabled physical layer security,
10) RIS-enabled vehicular communications,
11) UAV-RIS-enabled communications,
12) RIS-enabled cell-free networks,
13) RIS-enabled NOMA-based wireless networks,
14) Machine learning-based optimization for RIS-enabled wireless networks,
15) Integration of RIS with SWIPT and IoT networks,
16) Integrating sensing and communications for RIS,
17) RIS-enabled mmWave massive MIMO systems.
Keywords:
Integrated sensing and communication, Reconfigurable intelligent surface, Precoding, mmWave/THz, IoT
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.