5 citations · 14 across the 12 of their papers we have counts for
8 papers · 1 filter
Joint Transceiver Optimization for MmWave/THz MU-MIMO ISAC Systems
Peilan Wang, Jun Fang, Xianlong Zeng +2
In this paper, we consider the problem of joint transceiver design for millimeter wave (mmWave)/Terahertz (THz) multi-user MIMO integrated sensing and communication (ISAC) systems.…
Stacked Intelligent Metasurface-Aided MIMO Transceiver Design
Jiancheng An, Chau Yuen, Chao Xu +5
Next-generation wireless networks are expected to utilize the limited radio frequency (RF) resources more efficiently with the aid of intelligent transceivers. To this end, we prop…
Fundamental Detection Probability vs. Achievable Rate Tradeoff in Integrated Sensing and Communication Systems
Jiancheng An, Hongbin Li, Derrick Wing Kwan Ng +1
Integrating sensing functionalities is envisioned as a distinguishing feature of next-generation mobile networks, which has given rise to the development of a novel enabling techno…
Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems
Zhou Zhou, Jun Fang, Linxiao Yang +3
We consider the problem of downlink channel estimation for millimeter wave (mmWave) MIMO-OFDM systems, where both the base station (BS) and the mobile station (MS) employ large ant…
Low-Rank Covariance-Assisted Downlink Training and Channel Estimation for FDD Massive MIMO Systems
Jun Fang, Xingjian Li, Hongbin Li +1
We consider the problem of downlink training and channel estimation in frequency division duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large numbe…
Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing
Fuwei Li, Jun Fang, Huiping Duan +2
The sparse Beyesian learning (also referred to as Bayesian compressed sensing) algorithm is one of the most popular approaches for sparse signal recovery, and has demonstrated supe…