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A novel compressive-sensing based signal multiplexing scheme is proposed in this paper to further improve the multiplexing gain for multiple input multiple output (MIMO) system. At the transmitter side, a Gaussian random measurement matrix…

Information Theory · Computer Science 2016-04-05 Chanzi Liu , Qingchun Chen , Xiaohu Tang

We propose Joint Spatial Division and Multiplexing (JSDM), an approach to multiuser MIMO downlink that exploits the structure of the correlation of the channel vectors in order to allow for a large number of antennas at the base station…

Information Theory · Computer Science 2013-01-29 Ansuman Adhikary , Junyoung Nam , Jae-Young Ahn , Giuseppe Caire

Recently, deep learning-enabled joint-source channel coding (JSCC) has received increasing attention due to its great success in image transmission. However, most existing JSCC studies only focus on single-input single-output (SISO)…

Signal Processing · Electrical Eng. & Systems 2023-02-28 Guangyi Zhang , Qiyu Hu , Yunlong Cai , Guanding Yu

The design of precoding plays a crucial role in achieving a high downlink sum-rate in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In this correspondence, we propose a deep…

Information Theory · Computer Science 2024-04-26 Yiran Guo , Wei Chen , Jialong Xu , Lun Li , Bo Ai

Reconfigurable intelligent surface (RIS) is a promising candidate technology of the upcoming Sixth Generation (6G) communication system for its ability to provide unprecedented spectral and energy efficiency increment through passive…

Information Theory · Computer Science 2023-09-29 Haochen Li , Zhiwen Pan , Bin Wang , Nan Liu , Xiaohu You

The performance of a multiuser communication system with single-antenna transmitting terminals and a multi-antenna base-station receiver is analytically investigated. The system operates under independent and non-identically distributed…

Information Theory · Computer Science 2016-10-27 Nikolaos I. Miridakis , Theodoros A. Tsiftsis , Corbett Rowell

A critical hindrance in realizing frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems is the overhead associated with the downlink (DL) channel state information at the transmitter (CSIT) acquisition. To address…

Information Theory · Computer Science 2024-11-19 Namhyun Kim , Ian P. Roberts , Jeonghun Park

This paper considers an uplink reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) system with statistical channel state information (CSI). The RIS is deployed to help conventional massive MIMO…

Signal Processing · Electrical Eng. & Systems 2021-06-17 Kangda Zhi , Cunhua Pan , Hong Ren , Kezhi Wang

This paper addresses the problem of downlink channel estimation in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. The existing methods usually exploit hidden sparsity under a discrete Fourier…

Signal Processing · Electrical Eng. & Systems 2018-02-27 Jisheng Dai , An Liu , Vincent K. N. Lau

Considering a heterogeneous network (HetNet) where both macro base station (BS) and small cell (SC) nodes are equipped with massive antennas, this paper studies the performance for multiple-input multiple-output (MIMO) downlinks when the…

Information Theory · Computer Science 2016-08-15 Yongyu Dai , Xiaodai Dong , Hai Lin

Large scale multiple-input multiple-output (MIMO) or Massive MIMO is one of the pivotal technologies for future wireless networks. However, the performance of massive MIMO systems heavily relies on accurate channel estimation. While the…

Signal Processing · Electrical Eng. & Systems 2020-02-25 Parna Sabeti , Arman Farhang , Irene Macaluso , Nicola Marchetti , Linda Doyle

Knowledge of information about the propagation channel in which a wireless system operates enables better, more efficient approaches for signal transmissions. Therefore, channel state information (CSI) plays a pivotal role in the system…

Information Theory · Computer Science 2018-12-04 Zhiyuan Jiang , Sheng Chen , Andreas F. Molisch , Rath Vannithamby , Sheng Zhou , Zhisheng Niu

For massive multiple-input multiple-output systems in the frequency division duplex (FDD) mode, accurate downlink channel state information (CSI) is required at the base station (BS). However, the increasing number of transmit antennas…

Information Theory · Computer Science 2024-01-15 Jiaming Cheng , Wei Chen , Jialong Xu , Yiran Guo , Lun Li , Bo Ai

On a multi-antenna broadcast channel, simultaneous transmission to multiple users by joint beamforming and scheduling is capable of achieving high throughput, which grows double logarithmically with the number of users. The sum rate for…

Information Theory · Computer Science 2012-08-27 Kaibin Huang , Robert W. Heath, , Jeffrey G. Andrews

We propose novel deep joint source-channel coding (DeepJSCC) algorithms for wireless image transmission over multi-input multi-output (MIMO) Rayleigh fading channels, when channel state information (CSI) is available only at the receiver.…

Signal Processing · Electrical Eng. & Systems 2023-06-22 Chenghong Bian , Yulin Shao , Haotian Wu , Deniz Gunduz

Intelligent reflecting surface (IRS) is a promising technology to deliver the higher spectral and energy requirements in fifth-generation (5G) and beyond wireless networks while shaping the propagation environment. Such a design can be…

Information Theory · Computer Science 2022-06-30 Anastasios Papazafeiropoulos , Pandelis Kourtessis , Konstantinos Ntontin , Symeon Chatzinotas

Although it is often used in the orthogonal frequency division multiplexing (OFDM) systems, application of massive multiple-input multiple-output (MIMO) over the orthogonal time frequency space (OTFS) modulation could suffer from enormous…

Signal Processing · Electrical Eng. & Systems 2020-03-17 Yushan Liu , Shun Zhang , Feifei Gao , Jianpeng Ma , Xianbin Wang

Although the combination of the orthogonal time frequency space (OTFS) modulation and the massive multiple-input multiple-output (MIMO) technology can make communication systems perform better in high-mobility scenarios, there are still…

Information Theory · Computer Science 2021-05-21 Ding Shi , Wenjin Wang , Li You , Xiaohang Song , Yi Hong , Xiqi Gao , Gerhard Fettweis

In this paper, we study the beamforming design problem in frequency-division duplexing (FDD) downlink massive MIMO systems, where instantaneous channel state information (CSI) is assumed to be unavailable at the base station (BS). We…

Information Theory · Computer Science 2020-03-09 Hang Liu , Xiaojun Yuan , Ying Jun , Zhang

In this paper, the performance of uplink spectral efficiency in massive multiple input multiple output (MIMO) over spacially correlated Ricean fading channel is presented. The maximum ratio combining (MRC) receiver is employed at the base…

Information Theory · Computer Science 2017-07-20 Juan Cao , Dongming Wang , Jiamin Li , Qiang Sun
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