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 • 28 Feb 2023 • Cheng-Xiang Wang, Xiaohu You, Xiqi Gao, Xiuming Zhu, Zixin Li, Chuan Zhang, Haiming Wang, Yongming Huang, Yunfei Chen, Harald Haas, John S. Thompson, Erik G. Larsson, Marco Di Renzo, Wen Tong, Peiying Zhu, Xuemin, Shen, H. Vincent Poor, Lajos Hanzo
A series of white papers and survey papers have been published, which aim to define 6G in terms of requirements, application scenarios, key technologies, etc.
no code implementations • 25 Jul 2022 • Ke-Xin Li, Xiqi Gao, Xiang-Gen Xia
In addition, we devise a novel two-stage channel estimation (TSCE) approach, in which the received signals at the satellite are manipulated with per-subcarrier space domain processing followed by per-user frequency domain processing.
no code implementations • 6 Jun 2022 • Cheng-Xiang Wang, Zhen Lv, Xiqi Gao, Xiaohu You, Yang Hao, Harald Haas
In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel impulse response (CIR), and can integrate important channel characteristics at different frequency bands and scenarios.
no code implementations • 14 Aug 2021 • Jun Wang, Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao, Xiaohu You, Yang Hao
Terahertz (THz) communication is now being considered as one of possible technologies for the sixth generation (6G) wireless communication systems.
no code implementations • 18 Jun 2021 • Shicong Liu, Zhen Gao, Yongpeng Wu, Derrick Wing Kwan Ng, Xiqi Gao, Kai-Kit Wong, Symeon Chatzinotas, Bjorn Ottersten
The rapid development of communication technologies in the past decades has provided immense vertical opportunities for individuals and enterprises.
no code implementations • 20 Apr 2021 • Jun Wang, Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao
The proposed THz channel model is very general having the capability to capture different channel characteristics in multiple THz application scenarios such as indoor scenarios, device-to-device (D2D) communications, ultra-massive multiple-input multiple-output (MIMO) communications, and long traveling paths of users.
no code implementations • 17 Jan 2021 • Ji Bian, Cheng-Xiang Wang, Xiqi Gao, Xiaohu You, Minggao Zhang
In this paper, a novel three-dimensional (3D) non-stationary geometry-based stochastic model (GBSM) for the fifth generation (5G) and beyond 5G (B5G) systems is proposed.
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 • 28 Jul 2020 • Jie Huang, Cheng-Xiang Wang, Hengtai Chang, Jian Sun, Xiqi Gao
Millimeter wave (mmWave) bands have been utilized for the fifth generation (5G) communication systems and will no doubt continue to be deployed for beyond 5G (B5G).
no code implementations • 28 Jul 2020 • Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao, Xiaohu You, Yang Hao
Based on the vision on the 6G wireless communication network, i. e., global coverage, all spectrums and all applications, we comprehensively survey 6G related wireless channel measurements, channel characteristics, and channel models for all frequency bands and all scenarios.
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.
no code implementations • 24 Jun 2019 • Malong Ke, Zhen Gao, Yongpeng Wu, Xiqi Gao, Robert Schober
This paper considers massive access in massive multiple-input multiple-output (MIMO) systems and proposes an adaptive active user detection and channel estimation scheme based on compressive sensing.