paper-with-me

Papers

Beam Training and Alignment for RIS-Assisted Millimeter Wave Systems:State of the Art and Beyond

2022-03-25 · Peilan Wang, Jun Fang, Weizheng Zhang, Zhi Chen, Hongbin Li, Wei zhang

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 (THz) 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 multi-directional BT method, which can achieve a 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.

📄 PDF Abstract BibTeX arXiv:2203.13399

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

mmRAPID: Machine Learning assisted Noncoherent Compressive Millimeter-Wave Beam Alignment

2020-07-23 · Han Yan, Benjamin W. Domae, Danijela Cabric

Millimeter-wave communication has the potential to deliver orders of magnitude increases in mobile data rates. A key design challenge is to enable rapid beam alignment with phased arrays. Traditional millimeter-wave syst…

BIG-bench Machine LearningCompressive Sensing

Fast Beam Training and Alignment for IRS-Assisted Millimeter Wave/Terahertz Systems

2021-03-10 · Peilan Wang, Jun Fang, Wei zhang, Hongbin Li

Intelligent reflecting surface (IRS) has emerged as a competitive solution to address blockage issues in millimeter wave (mmWave) and Terahertz (THz) communications due to its capability of reshaping wireless transmissio…

Autoencoder for Position-Assisted Beam Prediction in mmWave ISAC Systems

2025-11-23 · Ahmad A. Aziz El-Banna, Octavia A. Dobre arxiv

Integrated sensing and communication and millimeter wave (mmWave) have emerged as pivotal technologies for 6G networks. However, the narrow nature of mmWave beams requires precise alignments that typically necessitate la…

Dimensionality ReductionBeam Prediction

Intelligent Reflecting Surface Assisted Beam Index-Modulation for Millimeter Wave Communication

2020-03-26 · Sarath Gopi, Sheetal Kalyani, Lajos Hanzo

Millimeter wave communication is eminently suitable for high-rate wireless systems, which may be beneficially amalgamated with intelligent reflecting surfaces (IRS), relying on beam-index modulation. Explicitly, we propo…

compressed sensing

Machine Learning Prediction for Phase-less Millimeter-Wave Beam Tracking

2022-06-06 · Benjamin W. Domae, Veljko Boljanovic, Ruifu Li, Danijela Cabric

Future wireless networks may operate at millimeter-wave (mmW) and sub-terahertz (sub-THz) frequencies to enable high data rate requirements. While large antenna arrays are critical for reliable communications at mmW and …

BIG-bench Machine LearningCompressive Sensing