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Adopting one-bit analog-to-digital convertors (ADCs) for massive multiple-input multiple-output (MIMO) implementations has great potential in reducing the hardware cost and power consumption. However, distortions caused by quantization…

Information Theory · Computer Science 2021-02-12 Mingjie Shao , Wing-Kin Ma

Media-based modulation (MBM) is a novel modulation technique that can improve the spectral efficiency of the existing wireless systems. In MBM, multiple radio frequency (RF) mirrors are placed near the transmit antenna(s) and are switched…

Information Theory · Computer Science 2021-01-07 Manish Mandloi , Devendra Singh Gurjar

Massive multiple-input multiple-output (MIMO) is a key technology for fifth generation (5G) communication system. MIMO symbol detection is one of the most computationally intensive tasks for a massive MIMO baseband receiver. In this paper,…

Millimeter-wave (mmWave) channels, which occupy frequency ranges much higher than those being used in previous wireless communications systems, are utilized to meet the increased throughput requirements that come with 5G communications. The…

Signal Processing · Electrical Eng. & Systems 2023-02-16 Esen Özbay

Low-resolution analog-to-digital converters (ADCs) are promising for reducing energy consumption and costs of multiuser multiple-input multiple-output (MIMO) systems with many antennas. We propose low-resolution multiuser MIMO receivers…

Signal Processing · Electrical Eng. & Systems 2022-11-21 Ana Beatriz L. B. Fernandes , Zhichao Shao , Lukas T. N. Landau , Rodrigo C. de Lamare

Tomlinson-Harashima precoding (THP) is a nonlinear processing technique employed at the transmit side to implement the concept of dirty paper coding (DPC). The perform of THP, however, is restricted by the dimensionality constraint that the…

Information Theory · Computer Science 2014-12-30 K. Zu , R. C. de Lamare

In this paper, we introduce the novel use of linear spatial precoding based on fixed and known parameters of multiple-input multiple-output (MIMO) channels to improve the performance of space-time coded MIMO systems. We derive linear…

Information Theory · Computer Science 2007-07-13 Tharaka A. Lamahewa , Rodney A. Kennedy , Thushara D. Abhayapala , Van K. Nguyen

The present paper deals with an OFDM-based uplink within a multi-user MIMO (MU-MIMO) system where a massive MIMO approach is employed. In this context, the linear detectors Minimum Mean-Squared Error (MMSE), Zero Forcing (ZF) and Maximum…

Hybrid analog/digital architectures and receivers with low-resolution analog-to-digital converters (ADCs) are two low power solutions for wireless systems with large antenna arrays. Most prior work represents two extreme cases in which…

Signal Processing · Electrical Eng. & Systems 2019-11-01 Mahdi Eskandari , Hamidreza Bakhshi

Using precoding to suppress multi-user interference is a well-known technique to improve spectra efficiency in multiuser multiple-input multiple-output (MU-MIMO) systems, and the pursuit of high performance and low complexity precoding…

Information Theory · Computer Science 2022-07-11 Maojun Zhang , Jiabao Gao , Caijun Zhong

Massive multiple-input multiple-output (mMIMO) technology is considered a key enabler for the 5G and future wireless networks. In most wireless communication systems, mMIMO is employed together with orthogonal frequency-division…

Networking and Internet Architecture · Computer Science 2023-07-03 Marcin Wachowiak , Pawel Kryszkiewicz

This paper is devoted to the design of precoders maximizing the ergodic mutual information (EMI) of bi-correlated flat fading MIMO systems equiped with MMSE receivers. The channel state information and the second order statistics of the…

Information Theory · Computer Science 2016-11-17 Cedric Artigue , Philippe Loubaton

This paper presents an innovative approach to enhancing machine learning based communication systems, specifically focusing on multiple-input multiple-output (MIMO) configurations using autoencoders. We optimize the transmitter, receiver,…

Signal Processing · Electrical Eng. & Systems 2026-05-26 Mohammad Reza Ghavidel Aghdam , Alireza Naghavi

We study the expectation propagation (EP) algorithm for symbol detection in massive multiple-input multiple-output (MIMO) systems. The EP detector shows excellent performance but suffers from a high computational complexity due to the…

Information Theory · Computer Science 2024-08-23 Luca Schmid , Dominik Sulz , Laurent Schmalen

This paper addresses the problem of estimating sparse channels in massive MIMO-OFDM systems. Most wireless channels are sparse in nature with large delay spread. In addition, these channels as observed by multiple antennas in a neighborhood…

Applications · Statistics 2015-06-22 Mudassir Masood , Laila H. Afify , Tareq Y. Al-Naffouri

In this article, deep learning is applied to estimate the uplink channels for mixed analog-to-digital converters (ADCs) massive multiple-input multiple-output (MIMO) systems, where a portion of antennas are equipped with high-resolution…

Information Theory · Computer Science 2019-08-20 Shen Gao , Peihao Dong , Zhiwen Pan , Geoffrey Ye Li

We consider downlink channel training of a frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) system when a multi-antenna jammer is present in the network. The jammer intends to degrade mean square error (MSE) of…

Cryptography and Security · Computer Science 2019-04-04 Mohammad Amin Sheikhi , S. Mohammad Razavizadeh

Future wireless networks are envisioned to employ multiple-input multiple-output (MIMO) transmissions with large array sizes, and therefore, the adoption of complexity-scalable transceiver becomes important. In this paper, we propose a…

Signal Processing · Electrical Eng. & Systems 2025-04-15 Jie Yang , Wanchen Hu , Yi Jiang , Shuangyang Li , Xin Wang , Derrick Wing Kwan Ng , Giuseppe Caire

Receivers with joint channel estimation and signal detection using superimposed pilots (SP) can achieve high transmission efficiency in orthogonal time frequency space (OTFS) systems. However, existing receivers have high computational…

Information Theory · Computer Science 2024-04-16 Fupeng Huang , Qinghua Guo , Youwen Zhang , Yuriy Zakharov

The superimposed pilot transmission scheme offers substantial potential for improving spectral efficiency in MIMO-OFDM systems, but it presents significant challenges for receiver design due to pilot contamination and data interference. To…

Information Theory · Computer Science 2025-07-15 Xinjie Li , Xingyu Zhou , Yixiao Cao , Jing Zhang , Chao-Kai Wen , Xiao Li , Shi Jin
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