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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

Designing beamforming techniques for the downlink (DL) of frequency division duplex (FDD) massive MIMO is known to be a challenging problem due to the difficulty of obtaining channel state information (CSI). Indeed, since the…

Signal Processing · Electrical Eng. & Systems 2020-04-02 François Rottenberg , Ming-Chun Lee , Thomas Choi , Jianzhong Zhang , Andreas F. Molisch

Precoding design for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems is a fundamental problem. In this paper, we aim to maximize the weighted sum rate (WSR) while considering both quality-of-service (QoS)…

Signal Processing · Electrical Eng. & Systems 2023-06-06 Kaiyi Chi , Yingzhi Huang , Qianqian Yang , Zhaohui Yang , Zhaoyang Zhang

Massive multiple input multiple output (MIMO) systems are typically designed under the assumption of linear power amplifiers (PAs). However, PAs are typically most energy-efficient when operating close to their saturation point, where they…

Machine Learning · Computer Science 2022-10-14 Thomas Feys , Xavier Mestre , François Rottenberg

This paper presents a novel massive multiple-input multiple-output (MIMO) transmission in beam domain for optical wireless communications. The optical base station equipped with massive optical transmitters communicates with a number of…

Signal Processing · Electrical Eng. & Systems 2018-11-27 Chen Sun , Xiqi Gao , Jiaheng Wang , Zhi Ding , Xiang-Gen Xia

In this paper, we consider the uplink channel estimation phase and downlink data transmission phase of cell-free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with low-capacity fronthaul links and…

Information Theory · Computer Science 2022-11-01 In-soo Kim , Mehdi Bennis , Junil Choi

In this letter, we consider linear precoding for downlink massive multi-user (MU) multiple-input multiple-output (MIMO) systems. We propose the novel successively-regularized zero forcing (SRZF) precoding, which exploits successive null…

Information Theory · Computer Science 2022-11-03 Aravindh Krishnamoorthy , Robert Schober

Robust transceiver design against unresolvable system uncertainties is of crucial importance for reliable communication. For instance, full-duplex communication suffers from such uncertainties when canceling the self-interference, since…

Information Theory · Computer Science 2020-01-01 Hossein Esmaeili , Ali Kariminezhad , Aydin Sezgin

This paper investigates the optimization of the long-standing probabilistically robust transmit beamforming problem with channel uncertainties in the multiuser multiple-input single-output (MISO) downlink transmission. This problem poses…

Information Theory · Computer Science 2024-06-06 Kai Liang , Gan Zheng , Zan Li , Kai-Kit Wong , Chan-Byoung Chae

We consider the design of a uniform circular array (UCA) based multiple-input multiple-output (MIMO) system over line-of-sight (LoS) environments in which array misalignment exists. In particular, optimal antenna placement in UCAs and…

Signal Processing · Electrical Eng. & Systems 2024-10-30 Yuri Jeon , Gye-Tae Gil , Yong H. Lee

This paper proposes a roust downlink multiuser MIMO scheme that exploits the channel mean and antenna correlations to alleviate the performance penalty due to the mismatch between the true and estimated CSI.

Information Theory · Computer Science 2008-11-05 Pengfei Ma , Xiaochuan Zhao , Mugen Peng , Wenbo Wang

Satellite-based communications are expected to be a substantial future market in 6G networks. As satellite constellations grow denser and transmission resources remain limited, frequency reuse plays an increasingly important role in…

Signal Processing · Electrical Eng. & Systems 2025-10-30 Alea Schröder , Steffen Gracla , Carsten Bockelmann , Dirk Wübben , Armin Dekorsy

In this paper, we propose a sequential and incremental precoder design for downlink joint transmission (JT) network MIMO systems with imperfect backhaul links. The objective of our design is to minimize the maximum of the sub-stream mean…

Signal Processing · Electrical Eng. & Systems 2020-03-18 Ming Ding , Jun Zou , Zeng Yang , Hanwen Luo , Wen Chen

The updated physical layer standard of the fifth generation wireless communication suggests the necessity of a rapid prototyping platform. To this end, we develop RaPro, a multi-core general purpose processor-based massive…

Signal Processing · Electrical Eng. & Systems 2018-02-23 Xuanxuan Gao , Zhichao Huang , Xintong Lu , Senjie Zhang , Chao-Kai Wen , Shi Jin

We address the problem of the bit error rate (BER) performance gap between the sub-optimal and optimal linear precoder (LP) for a multiuser (MU) multiple input and multiple output (MIMO) broadcast systems in this paper. Particularly, mobile…

Information Theory · Computer Science 2016-12-08 Md. Abdul Latif Sarker

This paper is focused on multiuser load modulation arrays (MU-LMAs) which are attractive due to their low system complexity and reduced cost for millimeter wave (mmWave) multi-input multi-output (MIMO) systems. The existing precoding…

Signal Processing · Electrical Eng. & Systems 2023-11-09 Ercong Yu , Jinle Zhu , Qiang Li , Zilong Liu , Hongyang Chen , Shlomo Shamai , H. Vincent Poor

This paper investigates a two-timescale uplink transmission framework for a fluid antenna-enabled multiuser multi-input multi-output system (MIMO-FAS). Antenna positions are optimized based on statistical channel state information (CSI),…

Signal Processing · Electrical Eng. & Systems 2025-03-04 Linyue Hu , Luchu Li , Cunhua Pan , Hong Ren

In this paper, we consider secure downlink transmission in a multi-cell massive multiple-input multiple-output (MIMO) system where the numbers of base station (BS) antennas, mobile terminals, and eavesdropper antennas are asymptotically…

Information Theory · Computer Science 2016-11-17 Jun Zhu , Robert Schober , Vijay K. Bhargava

In this paper, optimal linear transceiver designs for multi-hop amplify-and-forward (AF) Multiple-input Multiple-out (MIMO) relaying systems with Gaussian distributed channel estimation errors are investigated. Some commonly used…

Information Theory · Computer Science 2011-09-26 Chengwen Xing , Zesong Fei , Shaodan Ma , Jingming Kuang , Yik-Chung Wu

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