9 citations · 32 across the 13 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
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…