Journal
IEEE WIRELESS COMMUNICATIONS
Volume 29, Issue 6, Pages 64-71Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MWC.006.2100517
Keywords
Training; Antenna arrays; Array signal processing; Wireless communication; Spatial resolution; Millimeter wave technology; Millimeter wave communication
Categories
Funding
- National Science Foundation of China [61829103]
- National Key R&D Program of China [2018YFB1801500]
- Key Area Research and Development Program of Guangdong Province [2020B0101110003]
- Shenzhen Science & Innovation Fund [JCYJ20180507182451820]
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Reconfigurable intelligent surface (RIS) is a promising paradigm for future cellular networks, addressing blockage issues in mmWave or terahertz communications. However, the deployment of RIS complicates system architecture and poses challenges for beam training (BT)/beam alignment (BA).
Reconfigurable intelligent surface (RIS) has recently emerged as a promising paradigm for future cellular networks. Specifically, due to its capability in reshaping the propagation environment, RIS was introduced to address the blockage issue in millimeter-wave (mmWave) or even terahertz communications. The deployment of RIS, however, complicates the system architecture and poses a significant challenge for beam training (BT)/beam alignment (BA), a process that is required to establish a reliable link between the transmitter and the receiver. In this article, we first review several state-of-the-art beam training solutions for RIS-assisted mmWave systems and discuss their respective advantages and limitations. We also present a new multidirectional BT method, which can achieve decent BA performance with only a small amount of training overhead. Finally, we outline several important open issues in BT for RIS-assisted mmWave systems.
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