27 citations · 74 across the 13 of their papers we have counts for
13 papers
Near-Field Wideband Beam Training Based on Distance-Dependent Beam Split
Tianyue Zheng, Mingyao Cui, Zidong Wu +1
Near-field beam training is essential for acquiring channel state information in 6G extremely large-scale multiple input multiple output (XL-MIMO) systems. To achieve low-overhead…
Ice-Filling: Near-Optimal Channel Estimation for Dense Array Systems
Mingyao Cui, Zijian Zhang, Linglong Dai +1
By deploying a large number of antennas with sub-half-wavelength spacing in a compact space, dense array systems (DASs) can fully unleash the multiplexing and diversity gains of li…
Towards Atomic MIMO Receivers
Mingyao Cui, Qunsong Zeng, Kaibin Huang
The advancement of Rydberg atoms in quantum sensing is driving a paradigm shift from classical receivers to atomic receivers. Capitalizing on the extreme sensitivity of Rydberg ato…
Continuous-Time Channel Prediction Based on Tensor Neural Ordinary Differential Equation
Mingyao Cui, Hao Jiang, Yuhao Chen +2
Channel prediction is critical to address the channel aging issue in mobile scenarios. Existing channel prediction techniques are mainly designed for discrete channel prediction, w…
Near-Field Wideband Channel Estimation for Extremely Large-Scale MIMO
Mingyao Cui, Linglong Dai
Extremely large-scale multiple-input-multiple-output (XL-MIMO) at millimeter-wave (mmWave) and terahertz (THz) bands plays an important role in supporting extreme high beamforming…
Enabling More Users to Benefit from Near-Field Communications: From Linear to Circular Array
Zidong Wu, Mingyao Cui, Linglong Dai
Massive multiple-input multiple-output (MIMO) for 5G is evolving into the extremely large-scale antenna array (ELAA) to increase the spectrum efficiency by orders of magnitude for…
Transmissive RIS for 6G Communications: Design, Prototyping, and Experimental Demonstrations
Junwen Tang, Mingyao Cui, Shenheng Xu +3
Reconfigurable intelligent surface (RIS) has been widely considered as a key technique to improve spectral efficiency for 6G communications. Compared with most existing research th…
Demo: low-power communications based on RIS and AI for 6G
Mingyao Cui, Zidong Wu, Yuhao Chen +3
Ultra-massive multiple-input-multiple-output (UM-MIMO) is promising to meet the high rate requirements for future 6G. However, due to the large number of antennas and high path los…
Near-Field Rainbow: Wideband Beam Training for XL-MIMO
Mingyao Cui, Linglong Dai, Zhaocheng Wang +2
Wideband extremely large-scale multiple-input-multiple-output (XL-MIMO) is a promising technique to achieve Tbps data rates in future 6G systems through beamforming and spatial mul…
Near-Field Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions
Mingyao Cui, Zidong Wu, Yu Lu +2
Extremely large antenna array (ELAA) is a common feature of several key candidate technologies for sixth-generation mobile networks (6G), such as ultra-massive multiple-input-multi…
Distance-Aware Precoding for Near-Field Capacity Improvement
Zidong Wu, Mingyao Cui, Zijian Zhang +1
Extremely large-scale MIMO (XL-MIMO) is a promising technology to improve the capacity for future 6G networks. With a very large number of antennas, the near-field property of XL-M…
Near-Field Wideband Beamforming for Extremely Large Antenna Arrays
Mingyao Cui, Linglong Dai
The natural integration of extremely large antenna arrays (ELAAs) and terahertz (THz) communications can potentially achieve Tbps data rates in 6G networks. However, due to the ext…
Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?
Mingyao Cui, Linglong Dai
Extremely large-scale multiple-input-multiple-output (XL-MIMO) with hybrid precoding is a promising technique to meet the high data rate requirements for future 6G communications.…