51 citations · 99 across the 10 of their papers we have counts for
10 papers
Fluid-Antenna Enhanced ISAC: Joint Antenna Positioning and Dual-Functional Beamforming Design under Perfect and Imperfect CSI
Tian Hao, Changxin Shi, Qingqing Wu +4
Integrated sensing and communication (ISAC) emerges as an essential technique for overcoming spectrum congestion. However, the performance of traditional ISAC systems with fixed-po…
MLE-based Device Activity Detection under Rician Fading for Massive Grant-free Access with Perfect and Imperfect Synchronization
Wang Liu, Ying Cui, Feng Yang +2
Most existing studies on massive grant-free access, proposed to support massive machine-type communications (mMTC) for the Internet of things (IoT), assume Rayleigh fading and perf…
Analysis and Optimization of A Double-IRS Cooperatively Assisted System with A Quasi-Static Phase Shift Design
Gengfa Ding, Feng Yang, Lianghui Ding +1
The analysis and optimization of single intelligent reflecting surface (IRS)-assisted systems have been extensively studied, whereas little is known regarding multiple-IRS-assisted…
Joint Optimization of Preamble Selection and Access Barring for MTC with Correlated Device Activities
Wang Liu, Ying Cui, Lianghui Ding +4
Most existing works on random access for machine-type communication (MTC) assume independent device activities. However, in several Internet-of-Things (IoT) applications, device ac…
Analysis and Optimization of Successful Symbol Transmission Rate for Grant-free Massive Access with Massive MIMO
Gang Chen, Ying Cui, Hei Victor Cheng +2
Grant-free massive access is an important technique for supporting massive machine-type communications (mMTC) for Internet-of-Things (IoT). Two important features in grant-free mas…
Analysis and Optimization of Outage Probability in Multi-Intelligent Reflecting Surface-Assisted Systems
Zijian Zhang, Ying Cui, Feng Yang +1
Intelligent reflecting surface (IRS) is envisioned to be a promising solution for designing spectral and energy efficient wireless systems. In this letter, we study a multi-IRS-ass…