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In this paper, we investigate the downlink multiple-input-multipleoutput (MIMO) broadcast channels in which a base transceiver station (BTS) broadcasts multiple data streams to K MIMO mobile stations (MSs) simultaneously. In order to…

Information Theory · Computer Science 2015-08-06 Tung T. Vu , Ha Hoang Kha , Trung Q. Duong , Nguyen-Son Vo

In this paper, robust transceiver design with Tomlinson-Harashima precoding (THP) for multi-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relaying systems is investigated. At source node, THP is adopted to mitigate the…

Information Theory · Computer Science 2016-11-15 Chengwen Xing , Minghua Xia , Feifei Gao , Yik-Chung Wu

Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) has been regarded to be an emerging solution for the next generation of communications, in which hybrid analog and digital precoding is an important method for reducing…

Signal Processing · Electrical Eng. & Systems 2019-01-23 Hongji Huang , Yiwei Song , Jie Yang , Guan Gui , Fumiyuki Adachi

We propose a new scheme for the robust estimation of the millimeter wave (mmWave) channel. Our approach is based on a sparse formulation of the channel estimation problem coupled with a frame theoretic representation of the sensing…

Signal Processing · Electrical Eng. & Systems 2019-04-09 Razvan-Andrei Stoica , Giuseppe Thadeu Freitas de Abreu , Hiroki Iimori

This paper addresses the joint transceiver design for downlink multiuser multiple-input multiple-output (MIMO) systems, with imperfect channel state information (CSI) at the base station (BS) and mobile stations (MSs). By incorporating…

Optimization and Control · Mathematics 2013-11-26 Tadilo Endeshaw Bogale , Batu Krishna Chalise , Luc Vandendorpe

Precoding design based on weighted sum-rate (WSR) maximization is a fundamental problem in downlink multi-user multiple-input multiple-output (MU-MIMO) systems. While the weighted minimum mean-square error (WMMSE) algorithm is a standard…

Signal Processing · Electrical Eng. & Systems 2025-10-24 Xi Gao , Akang Wang , Junkai Zhang , Qihong Duan , Jiang Xue

Massive MIMO systems are typically designed assuming linear power amplifiers (PAs). However, PAs are most energy efficient close to saturation, where non-linear distortion arises. For conventional precoders, this distortion can coherently…

Information Theory · Computer Science 2023-12-11 Thomas Feys , Liesbet Van der Perre , François Rottenberg

This paper addresses joint transceiver and relay design for a wireless multiple-input-multiple-output (MIMO) switching scheme that enables data exchange among multiple users. Here, a multi-antenna relay linearly precodes the received…

Information Theory · Computer Science 2016-11-18 Fanggang Wang , Xiaojun Yuan , Soung Chang Liew , Dongning Guo

In practical massive multiple-input multiple-output (MIMO) systems, the precoding matrix is often obtained from the eigenvectors of channel matrices and is challenging to update in time due to finite computation resources at the base…

Information Theory · Computer Science 2024-07-02 Ziao Qin , Haifan Yin , Weidong Li

This paper addresses the problem of exploiting interference among simultaneous multiuser transmissions in the downlink of multiple-antenna systems. Using symbol-level precoding, a new approach towards addressing the multiuser interference…

Information Theory · Computer Science 2016-11-17 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

We consider vector-quantized (VQ) transmission of compressed sensing (CS) measurements over noisy channels. Adopting mean-square error (MSE) criterion to measure the distortion between a sparse vector and its reconstruction, we derive…

Information Theory · Computer Science 2014-05-01 Amirpasha Shirazinia , Saikat Chatterjee , Mikael Skoglund

Deep-learning (DL)-based precoding in multi-user multiple-input single-output (MU-MISO) systems involves training DL models to map features derived from channel coefficients to labels derived from precoding weights. Traditionally,…

Machine Learning · Computer Science 2026-03-10 Zaid Abdullah , Merouane Debbah , Symeon Chatzinotas , Bjorn Ottersten

Channel estimation is challenging for millimeter-wave (mmWave) massive MIMO with hybrid precoding, since the number of radio frequency (RF) chains is much smaller than that of antennas. Conventional compressive sensing based channel…

Information Theory · Computer Science 2018-07-10 Chen Hu , Linglong Dai , Talha Mir , Zhen Gao , Jun Fang

Rate splitting (RS) systems can better deal with imperfect channel state information at the transmitter (CSIT) than conventional approaches. However, this requires an appropriate power allocation that often has a high computational…

Information Theory · Computer Science 2022-06-07 A. R. Flores , R. C. de Lamare

Millimeter wave (mmWave) is a practical solution to provide high data rate for the vehicle-to-everything (V2X) communications. This enables the future autonomous vehicles to exchange big data with the base stations (BSs) such as the…

Information Theory · Computer Science 2021-03-24 Elyes Balti

Hybrid precoding design is challenging for millimeter-wave (mmWave) massive MIMO. Most prior hybrid precoding schemes are designed to maximize the sum spectral efficiency (SSE), while seldom investigate the bit-error-rate (BER). Therefore,…

Information Theory · Computer Science 2018-05-22 Jiening Mao , Zhen Gao , Yongpeng Wu , Mohamed-Slim Alouini

In this paper, we investigate the robust linear precoder design for three dimensional (3D) massive multi-input multi-output (MIMO) downlink with uniform planar array (UPA) and imperfect channel state information (CSI). In practical massive…

Information Theory · Computer Science 2022-06-17 An-An Lu , Xiqi Gao , Chengshan Xiao

In this paper, we consider precoder designs for multiuser multiple-input-single-output (MISO) broadcasting channels. Instead of using a traditional linear zero-forcing (ZF) precoder, we propose a generalized ZF (GZF) precoder in conjunction…

Information Theory · Computer Science 2017-09-07 Sha Hu , Fredrik Rusek

Hybrid precoding is a promising technique for mmWave massive MIMO systems, as it can considerably reduce the number of required radio-frequency (RF) chains without obvious performance loss. However, most of the existing hybrid precoding…

Information Theory · Computer Science 2017-08-25 Xinyu Gao , Linglong Dai , Ying Sun , Shuangfeng Han , I Chih-Lin

We consider minimum mean square error (MMSE) joint precoder and combiner design for single and multi carrier distributed beamforming systems with nonuniform per-antenna transmit power constraints. We show that, similar to the maximum-gain…

Signal Processing · Electrical Eng. & Systems 2019-05-03 Riten Gupta , Han Yan , Danijela Cabric