no code implementations • 6 Jul 2024 • Li You, Yongxiang Zhu, Xiaoyu Qiang, Christos G. Tsinos, Wenjin Wang, Xiqi Gao, Björn Ottersten
The next sixth generation (6G) networks are envisioned to integrate sensing and communications in a single system, thus greatly improving spectrum utilization and reducing hardware costs.
no code implementations • 24 Jun 2024 • Jiaqi Fang, Yan Liang, Gangle Sun, Hongwei Hou, Yafei Wang, Li You, Wenjin Wang
The unsourced random access (URA) has emerged as a viable scheme for supporting the massive machine-type communications (mMTC) in the sixth generation (6G) wireless networks.
no code implementations • 14 Jun 2024 • Zhenzhou Jin, Li You, Jue Wang, Xiang-Gen Xia, Xiqi Gao
Specifically, we first view the channel knowledge as a 2-D image and transform the CKM construction problem into an image-to-image (I2I) inpainting task, which predicts the channel knowledge at a specific location by recovering the corresponding pixel value in the image matrix.
no code implementations • 13 Jun 2024 • Yiming Zhu, Jiawei Zhuang, Gangle Sun, Hongwei Hou, Li You, Wenjin Wang
This paper aims to investigate joint channel estimation and prediction (JCEP) for massive MIMO with frequency hopping sounding (FHS).
no code implementations • 11 Apr 2024 • Rui Sun, Li You, An-An Lu, Chen Sun, Xiqi Gao, Xiang-Gen Xia
In this paper, we investigate the precoder design for user-centric network (UCN) massive multiple-input multiple-output (mMIMO) downlink with matrix manifold optimization.
no code implementations • 12 Aug 2020 • Ke-Xin Li, Li You, Jiaheng Wang, Xiqi Gao, Christos G. Tsinos, Symeon Chatzinotas, Björn Ottersten
We show that, in this case, the design of precoding vectors can be simplified into that of scalar variables, for which an effective algorithm is developed.
no code implementations • 6 May 2020 • Li You, Xu Chen, Xiaohang Song, Fan Jiang, Wenjin Wang, Xiqi Gao, Gerhard Fettweis
Based on these insights, the network massive MIMO precoding design is reduced to a network sum-rate maximization problem with respect to beam domain power allocation.
no code implementations • 7 Apr 2020 • Li You, Jiayuan Xiong, Alessio Zappone, Wenjin Wang, Xiqi Gao
As a key technology for future wireless networks, massive multiple-input multiple-output (MIMO) can significantly improve the energy efficiency (EE) and spectral efficiency (SE), and the performance is highly dependant on the degree of the available channel state information (CSI).
no code implementations • 27 Oct 2019 • Chi Wu, Xinping Yi, Wenjin Wang, Li You, Qing Huang, Xiqi Gao
In this paper, we consider the user positioning problem in the massive multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) system with a uniform planner antenna (UPA) array.