19 citations · 89 across the 25 of their papers we have counts for
25 papers
Multi-Objective Optimisation of URLLC-Based Metaverse Services
Xinyu Gao, Wenqiang Yi, Yuanwei Liu +1
Metaverse aims for building a fully immersive virtual shared space, where the users are able to engage in various activities. To successfully deploy the service for each user, the…
Reconfigurable Massive MIMO: Harnessing the Power of the Electromagnetic Domain for Enhanced Information Transfer
Keke Ying, Zhen Gao, Sheng Chen +4
The capacity of commercial massive multiple-input multiple-output (mMIMO) systems is constrained by the limited array aperture at the base station, and cannot meet the ever-increas…
DRL Enabled Coverage and Capacity Optimization in STAR-RIS Assisted Networks
Xinyu Gao, Wenqiang Yi, Yuanwei Liu +2
Simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) is a promising passive device that contributes to a full-space coverage via transmitting…
Coverage and Capacity Optimization in STAR-RISs Assisted Networks: A Machine Learning Approach
Xinyu Gao, Wenqiang Yi, Alexandros Agapitos +2
Coverage and capacity are the important metrics for performance evaluation in wireless networks, while the coverage and capacity have several conflicting relationships, e.g. high t…
Deep-learning-based Hyperspectral imaging through a RGB camera
Xinyu Gao, Tianlang Wang, Jing Yang +6
Hyperspectral image (HSI) contains both spatial pattern and spectral information which has been widely used in food safety, remote sensing, and medical detection. However, the acqu…
Passive Beamforming Design for Intelligent Reflecting Surface Assisted MIMO Systems
Chenghao Feng, Wenqian Shen, Xinyu Gao +1
Intelligent reflecting surfaces (IRSs) constitute passive devices, which are capable of adjusting the phase shifts of their reflected signals, and hence they are suitable for passi…
Machine Learning Empowered Resource Allocation in IRS Aided MISO-NOMA Networks
X. Gao, Y. Liu, X. Liu +1
A novel framework of intelligent reflecting surface (IRS)-aided multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) network is proposed, where a base station…
A Camera free fiber speckle wavemeter
Tianliang Wang, Yi Li, Xinyu Gao +6
Recovering the wavelength from disordered speckle patterns has become an exciting prospect as a wavelength measurement method due to its high resolution and simple design. In previ…
Robotic Communications for 5G and Beyond: Challenges and Research Opportunities
Yuanwei Liu, Xiao Liu, Xinyu Gao +4
The ongoing surge in applications of robotics brings both opportunities and challenges for the fifth-generation (5G) and beyond (B5G) of communication networks. This article focuse…
Dynamic Hybrid Precoding Relying on Twin-Resolution Phase Shifters in Millimeter-Wave Communication Systems
Chenghao Feng, Wenqian Shen, Xinyu Gao +2
Hybrid analog/digital precoding in millimeter-wave (mmWave) multi-input multi-ouput (MIMO) systems is capable of achieving the near-optimal full-digital performance at reduced hard…
Resource Allocation in IRSs Aided MISO-NOMA Networks: A Machine Learning Approach
Xinyu Gao, Yuanwei Liu, Xiao Liu +1
A novel framework of intelligent reflecting surface (IRS)-aided multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) network is proposed, where a base station…
Trajectory and Passive Beamforming Design for IRS-aided Multi-Robot NOMA Indoor Networks
Xinyu Gao, Yuanwei Liu, Xidong Mu
A novel intelligent reflecting surface (IRS)-aided multi-robot network is proposed, where multiple mobile wheeled robots are served by an access point (AP) through non-orthogonal m…
SLARM: Simultaneous Localization and Radio Mapping for Communication-aware Connected Robot
Xinyu Gao, Yuanwei Liu, Xidong Mu
A novel simultaneous localization and radio mapping (SLARM) framework for communication-aware connected robots in the unknown indoor environment is proposed, where the simultaneous…
Machine Learning Inspired Energy-Efficient Hybrid Precoding for MmWave Massive MIMO Systems
Xinyu Gao, Linglong Dai, Ying Sun +2
Hybrid precoding is a promising technique for mmWave massive MIMO systems, as it can considerably reduce the number of required radio-frequency (RF) chains without obvious performa…
Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array
Xinyu Gao, Linglong Dai, Shuangfeng Han +2
Millimeter-wave massive MIMO with lens antenna array can considerably reduce the number of required radio-frequency (RF) chains by beam selection. However, beam selection requires…
Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array
Linglong Dai, Xinyu Gao, Shuangfeng Han +2
By employing the lens antenna array, beamspace MIMO can utilize beam selection to reduce the number of required RF chains in mmWave massive MIMO systems without obvious performance…
Low RF-Complexity Technologies to Enable Millimeter-Wave MIMO with Large Antenna Array for 5G Wireless Communications
Xinyu Gao, Linglong Dai, Akbar M. Sayeed
Millimeter-wave (mmWave) MIMO with large antenna array has attracted considerable interests from academic and industry communities, as it can provide larger bandwidth and higher sp…
GMD-Based Hybrid Precoding For Millimeter-Wave Massive MIMO Systems
Tian Xie, Linglong Dai, Xinyu Gao +2
Hybrid precoding can significantly reduce the number of required radio frequency (RF) chains and relieve the huge energy consumption in mmWave massive MIMO systems, thus attracting…
Near-Optimal Hybrid Analog and Digital Precoding for Downlink mmWave Massive MIMO Systems
Linglong Dai, Xinyu Gao, Jinguo Quan +2
Millimeter wave (mmWave) massive MIMO can achieve orders of magnitude increase in spectral and energy efficiency, and it usually exploits the hybrid analog and digital precoding to…
Turbo-Like Beamforming Based on Tabu Search Algorithm for Millimeter-Wave Massive MIMO Systems
Xinyu Gao, Linglong Dai, Chau Yuen +1
For millimeter-wave (mmWave) massive MIMO systems, the codebook-based analog beamforming (including transmit precoding and receive combining) is usually used to compensate the seve…
Energy-Efficient Hybrid Analog and Digital Precoding for mmWave MIMO Systems with Large Antenna Arrays
Xinyu Gao, Linglong Dai, Shuangfeng Han +2
Millimeter wave (mmWave) MIMO will likely use hybrid analog and digital precoding, which uses a small number of RF chains to avoid energy consumption associated with mixed signal c…
Matrix Inversion-Less Signal Detection Using SOR Method for Uplink Large-Scale MIMO Systems
Xinyu Gao, Linglong Dai, Yuting Hu +2
For uplink large-scale MIMO systems, linear minimum mean square error (MMSE) signal detection algorithm is near-optimal but involves matrix inversion with high complexity. In this…
Low-complexity near-optimal signal detection for uplink large-scale MIMO systems
Xinyu Gao, Linglong Dai, Yongkui Ma +1
Minimum mean square error (MMSE) signal detection algorithm is near- optimal for uplink multi-user large-scale multiple input multiple output (MIMO) systems, but involves matrix in…
Near-Optimal Linear Precoding with Low Complexity for Massive MIMO
Linglong Dai, Xinyu Gao, Shuangfeng Han +2
Linear precoding techniques can achieve near- optimal capacity due to the special channel property in down- link massive MIMO systems, but involve high complexity since complicated…