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Knowledge of second-order statistics of channels (e.g. in the form of covariance matrices) is crucial for the acquisition of downlink channel state information (CSI) in massive MIMO systems operating in the frequency division duplexing…

Signal Processing · Electrical Eng. & Systems 2019-10-25 Lorenzo Miretti , Renato L. G. Cavalcante , Slawomir Stanczak

With a significant increase in area throughput, Massive MIMO has become an enabling technology for fifth generation (5G) wireless mobile communication systems. Although prototypes were built, an openly available dataset for channel impulse…

Signal Processing · Electrical Eng. & Systems 2019-02-11 Maximilian Arnold , Jakob Hoydis , Stephan ten Brink

Low earth orbit (LEO) satellite communications are expected to be incorporated in future wireless networks, in particular 5G and beyond networks, to provide global wireless access with enhanced data rates. Massive MIMO techniques, though…

Information Theory · Computer Science 2020-08-24 Li You , Ke-Xin Li , Jiaheng Wang , Xiqi Gao , Xiang-Gen Xia , Björn Ottersten

Rate-splitting multiple access (RSMA) is a promising technique for downlink multi-antenna communications owning to its capability of enhancing the system performance in a wide range of network loads, user deployments and channel state…

Information Theory · Computer Science 2021-04-02 Longfei Yin , Bruno Clerckx , Yijie Mao

Massive multiple-input multiple-output (M-MIMO) is an enabling technology of 5G wireless communication. The performance of an M-MIMO system is highly dependent on the speed and accuracy of obtaining the channel state information (CSI). The…

Signal Processing · Electrical Eng. & Systems 2018-04-19 Xiaozhen Liu , Jin Sha , Hongxiang Xie , Feifei Gao , Shi Jin , Zaichen Zhang , Xiaohu You , Chuan Zhang

In future wireless networks, one fundamental challenge for massive machine-type communications (mMTC) lies in the reliable support of massive connectivity with low latency. Against this background, this paper proposes a compressive sensing…

Information Theory · Computer Science 2018-09-13 Malong Ke , Zhen Gao , Yongpeng Wu , Xiangming Meng

Movable antennas (MAs) are a promising technology to achieve a significant enhancement in rate for future wireless networks. The pioneering investigation on near-field directional modulation design for a reconfigurable intelligent surface…

Signal Processing · Electrical Eng. & Systems 2025-06-03 Maolin Li , Feng Shu , Riqing Chen , Cunhua Pan , Yongpeng Wu

In order to achieve reliable communication with a high data rate of massive multiple-input multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated channel state information (CSI) at the receiver needs to be fed…

Information Theory · Computer Science 2021-12-14 J. Guo , L. Wang , F. Li , J. Xue

Channel estimation in reconfigurable intelligent surfaces (RIS)-aided systems is crucial for optimal configuration of the RIS and various downstream tasks such as user localization. In RIS-aided systems, channel estimation involves…

Signal Processing · Electrical Eng. & Systems 2023-12-19 Firas Fredj , Amal Feriani , Amine Mezghani , Ekram Hossain

In practical mobile communication engineering applications, surfaces of antenna array deployment regions are usually uneven. Therefore, massive multi-input-multi-output (MIMO) communication systems usually transmit wireless signals by…

Information Theory · Computer Science 2016-04-19 Xiaohu Ge , Ran Zi , Haichao Wang , Jing Zhang , Minho Jo

Holographic massive multiple-input multiple-output (MIMO), in which a spatially continuous surface is being used for signal transmission and reception, have emerged as a promising solution for improving the coverage and data rate of…

Information Theory · Computer Science 2022-06-15 Mojtaba Ghermezcheshmeh , Vahid Jamali , Haris Gacanin , Nikola Zlatanov

Massive multiple-input multiple-output (MIMO) is a promising technology to increase link capacity and energy efficiency. However, these benefits are based on available channel state information (CSI) at the base station (BS). Therefore,…

Signal Processing · Electrical Eng. & Systems 2024-10-30 Jiajia Guo , Chao-Kai Wen , Shi Jin , Geoffrey Ye Li

In this paper, we investigate the massive MIMO relay system, where the relay station (RS) forwards the signals from multiple remote users to the base station (BS). Large-scale antenna arrays in conjunction with low-resolution…

Information Theory · Computer Science 2020-04-17 Peihao Dong , Hua Zhang , Qihui Wu , Geoffrey Ye Li

Cell-Free Massive multiple-input multiple-output (MIMO) and reconfigurable intelligent surface (RIS) are two promising technologies for application to beyond-5G networks. This paper considers Cell-Free Massive MIMO systems with the…

Information Theory · Computer Science 2021-12-20 Trinh Van Chien , Hien Quoc Ngo , Symeon Chatzinotas , Marco Di Renzo , Björn Ottersten

While neural lossy compression techniques have markedly advanced the efficiency of Channel State Information (CSI) compression and reconstruction for feedback in MIMO communications, efficient algorithms for more challenging and practical…

Accurate downlink channel state information (CSI) is vital to achieving high spectrum efficiency in massive MIMO systems. Existing works on the deep learning (DL) model for CSI feedback have shown efficient compression and recovery in…

Information Theory · Computer Science 2022-05-10 Zhenyu Liu , Zhi Ding

Obtaining accurate channel state information (CSI) is crucial and challenging for multiple-input multiple-output (MIMO) wireless communication systems. Conventional channel estimation method cannot guarantee the accuracy of mobile CSI while…

Signal Processing · Electrical Eng. & Systems 2022-07-25 Zhuoran Xiao , Zhaoyang Zhang , Zirui Chen , Zhaohui Yang , Richeng Jin

As 5G technology becomes increasingly established, the anticipation for 6G is growing, which promises to deliver faster and more reliable wireless connections via cutting-edge radio technologies. However, efficient management method of the…

Information Theory · Computer Science 2024-01-17 Lihao Zhang , Haijian Sun , Yong Zeng , Rose Qingyang Hu

The acquisition of accurate channel state information (CSI) is of utmost importance since it provides performance improvement of wireless communication systems. However, acquiring accurate CSI, which can be done through channel estimation…

Information Theory · Computer Science 2023-06-01 Pedro E. G. Silva , Jules M. Moualeu , Pedro H. Nardelli , Rausley A. A. de Souza

We study the massive multiple-input multiple-output (MIMO) multicast transmission in cellular networks where each base station (BS) is equipped with a large-scale antenna array and transmits a common message using a single beamformer to…

Information Theory · Computer Science 2016-11-15 Zhengzheng Xiang , Meixia Tao , Xiaodong Wang
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