no code implementations • 5 Sep 2023 • Shihang Lu, Fan Liu, Fuwang Dong, Yifeng Xiong, Jie Xu, Ya-Feng Liu
Radar systems typically employ well-designed deterministic signals for target sensing.
no code implementations • 4 Sep 2021 • Wenqiang Pu, Ya-Feng Liu, Zhi-Quan Luo
There are generally two difficulties in this bias estimation problem: one is the unknown target states which serve as the nuisance variables in the estimation problem, and the other is the highly nonlinear coordinate transformation between the local and global coordinate systems of the sensors.
no code implementations • 10 Jul 2021 • Nanchi Su, Fan Liu, Zhongxiang Wei, Ya-Feng Liu, Christos Masouros
We study security solutions for dual-functional radar communication (DFRC) systems, which detect the radar target and communicate with downlink cellular users in millimeter-wave (mmWave) wireless networks simultaneously.
no code implementations • 27 Apr 2021 • Ziyue Wang, Ya-Feng Liu, Zhilin Chen, Wei Yu
Specifically, at each iteration, the proposed active set CD algorithm first selects a small subset of all devices, namely the active set, which contains a few devices that contribute the most to the deviation from the first-order optimality condition of the MLE problem thus potentially can provide the most improvement to the objective function, then applies the CD algorithm to perform the detection for the devices in the active set.
no code implementations • 23 Apr 2021 • Ruichen Jiang, Ya-Feng Liu
We propose a new performance metric, called antenna efficiency, to characterize how fast the vector error probability (VEP) decreases as the number of receive antennas increases in the large system limit.
no code implementations • 6 Feb 2021 • Ziyue Wang, Zhilin Chen, Ya-Feng Liu, Foad Sohrabi, Wei Yu
Specifically, at each iteration, the proposed algorithm focuses on only a small subset of all potential sequences, namely the active set, which contains a few most likely active sequences (i. e., transmitted sequences by all active devices), and performs the detection for the sequences in the active set.
no code implementations • 4 Feb 2021 • Wei-Kun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
In this paper, we consider the network slicing problem which attempts to map multiple customized virtual network requests (also called services) to a common shared network infrastructure and allocate network resources to meet diverse service requirements, and propose an efficient two-stage algorithm for solving this NP-hard problem.
Networking and Internet Architecture Information Theory Signal Processing Information Theory Optimization and Control
no code implementations • 29 Jan 2021 • Fan Liu, Ya-Feng Liu, Ang Li, Christos Masouros, Yonina C. Eldar
We employ the Cram\'er-Rao bound (CRB) as a performance metric of target estimation, under both point and extended target scenarios.
no code implementations • 20 Oct 2020 • Liang Liu, Ya-Feng Liu
A great amount of endeavour has recently been devoted to the joint device activity detection and channel estimation problem in massive machine-type communications.
no code implementations • 5 Jun 2020 • Ganggang Ma, Jie Xu, Ya-Feng Liu, Mohammad R. Vedady Moghadam
Energy beamforming has emerged as a promising technique for enhancing the energy transfer efficiency of wireless power transfer (WPT).
no code implementations • 28 Feb 2020 • Hailiang Xie, Jie Xu, Ya-Feng Liu
This paper investigates an intelligent reflecting surface (IRS)-aided multi-cell multiple-input single-output (MISO) system with several multi-antenna base stations (BSs) each communicating with a single-antenna user, in which an IRS is dedicatedly deployed for assisting the wireless transmission and suppressing the inter-cell interference.