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The timely precoding of frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems is a substantial challenge in practice, especially in mobile environments. In order to improve the precoding performance and…

Information Theory · Computer Science 2024-10-08 Ziao Qin , Haifan Yin

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

In massive multiple-input multiple-output (MIMO) systems, achieving high spectral efficiency (SE) often requires advanced precoding algorithms whose complexity scales rapidly with the number of antennas, limiting practical deployment. In…

Signal Processing · Electrical Eng. & Systems 2026-03-13 Seunghyeong Yoo , Mintaek Oh , Jeonghun Park , Namyoon Lee , Jinseok Choi

Linear precoding techniques can achieve near- optimal capacity due to the special channel property in down- link massive MIMO systems, but involve high complexity since complicated matrix inversion of large size is required. In this paper,…

Information Theory · Computer Science 2014-11-18 Linglong Dai , Xinyu Gao , Shuangfeng Han , Chih-Lin I , Zhaocheng Wang

The focus of this paper is on spatial precoding in correlated multi-antenna channels, where the number of independent data-streams is adapted to trade-off the data-rate with the transmitter complexity. Towards the goal of a low-complexity…

Information Theory · Computer Science 2009-09-29 Vasanthan Raghavan , Akbar Sayeed , Venu Veeravalli

Constant envelope (CE) precoding is an appealing transmission technique, which enables highly efficient power amplification, and is realizable with a single radio frequency (RF) chain at the multi-antenna transmitter. In this paper, we…

Information Theory · Computer Science 2016-09-09 Shuowen Zhang , Rui Zhang , Teng Joon Lim

This paper addresses the mobility problem in massive multiple-input multiple-output systems, which leads to significant performance losses in the practical deployment of the fifth generation mobile communication networks. We propose a novel…

Information Theory · Computer Science 2022-08-04 Weidong Li , Haifan Yin , Ziao Qin , Yandi Cao , Merouane Debbah

In this paper, we consider massive multiple-input-multiple-output (MIMO) communication systems with a uniform planar array (UPA) at the base station (BS) and investigate the downlink precoding with imperfect channel state information (CSI).…

Information Theory · Computer Science 2020-05-28 Junchao Shi , Wenjin Wang , Xinping Yi , Xiqi Gao , Geoffrey Ye Li

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

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

The potential advantages of intelligent wireless communications with millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability of instantaneous channel state information (CSI) at the base…

Information Theory · Computer Science 2022-11-03 Yibin Zhang , Jinlong Sun , Guan Gui , Yun Lin , Haris Gacanin , Hikmet Sari , Fumiyuki Adachi

This study proposes a novel precoding scheme for multiuser multiple-input multiple-output (MIMO) relay systems in the presence of imperfect channel state information (CSI). The base station (BS) and the MIMO relay station (RS) are both…

Information Theory · Computer Science 2014-12-18 Y. Cai , R. C. de Lamare , L. L. Yang , M. Zhao

The sixth-generation (6G) communication networks target peak data rates exceeding 1Tbps, necessitating base stations (BS) to support up to 100 simultaneous data streams. However, sparse pilot allocation to accommodate such streams poses…

Information Theory · Computer Science 2024-04-09 Liu Junkai , Jiang Yi

Uplink channel estimation is a crucial component for the performance of cellular massive MIMO systems. However, when the number of user equipments (UEs) grows, the sharing of the available resources causes interference between UEs in…

Signal Processing · Electrical Eng. & Systems 2022-09-19 Robbe Van Rompaey , Marc Moonen

This paper presents a novel channel estimation technique for the multi-user massive multiple-input multiple-output (MU-mMIMO) systems using angular-based hybrid precoding (AB-HP). The proposed channel estimation technique generates…

Information Theory · Computer Science 2022-02-01 Xiaoyi Zhu , Asil Koc , Robert Morawski , Tho Le-Ngoc

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

A massive multiple-input multiple-output (MIMO) system, operating in Frequency Division Duplexing (FDD) mode of operation, suffers from prohibitively high overhead associated with downlink channel state information (CSI) acquisition and…

Information Theory · Computer Science 2018-08-16 Abdelrahman A. H. Anis , Bassant Abdelhamid , Salwa Elramly

Extremely large-scale multiple-input-multipleoutput (XL-MIMO) has been reviewed as a promising technology for future sixth-generation (6G) networks to achieve higher performance. In practice, various linear precoding schemes, such as…

Information Theory · Computer Science 2023-05-24 Bokai Xu , Jiayi Zhang , Jiaxun Li , Huahua Xiao , Bo Ai

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

Reconfigurable massive multiple-input multiple-output (RmMIMO), as an electronically-controlled fluid antenna system, offers increased flexibility for future communication systems by exploiting previously untapped degrees of freedom in the…

Information Theory · Computer Science 2024-11-07 Keke Ying , Zhen Gao , Yu Su , Tong Qin , Michail Matthaiou , Robert Schober
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