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The Multi-User downlink, particularly in a Multi-Cell Massive MIMO setting, requires enormous amounts of instantaneous CSIT (Channel State Information at the Transmitter(s)), iCSIT. Here we focus on exploiting channel covariance CSIT…

Signal Processing · Electrical Eng. & Systems 2018-07-25 Christo Thomas Kurisummoottil , Wassim Tabikh , Dirk Slock , Yi Yuan-Wu

We propose a hierarchical interference mitigation scheme for massive MIMO cellular networks. The MIMO precoder at each base station (BS) is partitioned into an inner precoder and an outer precoder. The inner precoder controls the intra-cell…

Information Theory · Computer Science 2015-06-16 An Liu , Vincent Lau

This paper studies a two-layer decoding method that mitigates inter-cell interference in multi-cell Massive MIMO systems. In layer one, each base station (BS) estimates the channels to intra-cell users and uses the estimates for local…

Information Theory · Computer Science 2019-03-19 Trinh Van Chien , Christopher Mollén , Emil Björnson

Channel state information (CSI) feedback is critical for achieving the promised advantages of enhancing spectral and energy efficiencies in massive multiple-input multiple-output (MIMO) wireless communication systems. Deep learning…

Information Theory · Computer Science 2024-03-29 Suhang Fan , Wei Xu , Renjie Xie , Shi Jin , Derrick Wing Kwan Ng , Naofal Al-Dhahir

Cell-free massive multiple-input multiple-output (MIMO) is a key technology for next-generation wireless systems. The integration of cell-free massive MIMO within the open radio access network (O-RAN) architecture addresses the growing need…

Signal Processing · Electrical Eng. & Systems 2026-05-04 Mohammad Hossein Shokouhi , Vincent W. S. Wong

In this paper, we investigate the downlink communication challenges in heavy-load Internet-of-Things (IoT) networks supported by frequency-division-duplexing (FDD) millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO)…

Signal Processing · Electrical Eng. & Systems 2025-02-18 Jeongjae Lee , Songnam Hong

Massive Multiple-Input Multiple-Output (massive MIMO) is a variant of multi-user MIMO in which the number of antennas at each Base Station (BS) is very large and typically much larger than the number of users simultaneously served. Massive…

Information Theory · Computer Science 2017-08-16 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Giuseppe Caire

This paper considers the implementation of Tomlinson-Harashima (TH) precoding for multiuser MIMO systems based on quantized channel state information (CSI) at the transmitter side. Compared with the results in [1], our scheme applies to…

Information Theory · Computer Science 2014-08-05 Liang Sun , Ming Lei

Cell-free (CF) systems have the potential to fulfill the increasing performance demand of future wireless applications by employing distributed access points (APs) that transmit the information over the same time-frequency resources. Due to…

Information Theory · Computer Science 2024-10-08 A. Flores , R. C. de Lamare

Most multiuser precoding techniques require accurate transmitter channel state information (CSIT) to maintain orthogonality between the users. Such techniques have proven quite fragile in time-varying channels because the CSIT is inherently…

Information Theory · Computer Science 2011-05-19 Jiaming Xu , Jeffrey G. Andrews , Syed A. Jafar

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

In massive multiple-input multiple-output (MIMO) systems, acquisition of the channel state information at the transmitter side (CSIT) is crucial. In this paper, a practical CSIT estimation scheme is proposed for frequency division duplexing…

Networking and Internet Architecture · Computer Science 2016-10-13 Zhiyi Zhou , Xu Chen , Dongning Guo , Michael L. Honig

Cell-free massive multiple-input multiple-output (MIMO) systems, leveraging tight cooperation among wireless access points, exhibit remarkable signal enhancement and interference suppression capabilities, demonstrating significant…

Signal Processing · Electrical Eng. & Systems 2024-10-10 Peng Jiang , Jiafei Fu , Pengcheng Zhu , Yan Wang , Jiangzhou Wang , Xiaohu You

In this correspondence, we propose a space domain index modulation (IM) scheme for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems. Instead of the most common approach where spatial bits select active receiver…

Signal Processing · Electrical Eng. & Systems 2020-07-23 Nuno Souto , Américo Correia

In this paper, we propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as cache-aided massive MIMO, for advanced downlink cellular communications. In addition to reaping the…

Signal Processing · Electrical Eng. & Systems 2019-03-25 Xiao Wei , Lin Xiang , Laura Cottatellucci , Tao Jiang , Robert Schober

Massive multi-user multiple-input multiple-output (MU-MIMO) wireless systems operating at millimeter-wave (mmWave) frequencies enable simultaneous wideband data transmission to a large number of users. In order to reduce the complexity of…

Information Theory · Computer Science 2021-08-19 Emre Gönültaş , Sueda Taner , Alexandra Gallyas-Sanhueza , Seyed Hadi Mirfarshbafan , Christoph Studer

With the increase of physical antenna and subcarrier numbers in MIMO-OFDM systems, channel side information feedback amount and signal precoding complexity overburden will consume much more system resource, even become intolerable. To solve…

Information Theory · Computer Science 2017-06-20 Jiaxun Lu , Zhengchuan Chen , Pingyi Fan , Khaled B. Letaief

We consider Gaussian multiple-input multiple-output (MIMO) channels with discrete input alphabets. We propose a non-diagonal precoder based on the X-Codes in \cite{Xcodes_paper} to increase the mutual information. The MIMO channel is…

Information Theory · Computer Science 2016-11-17 Saif Khan Mohammed , Emanuele Viterbo , Yi Hong , Ananthanarayanan Chockalingam

This paper proposes symbol level precoding in the downlink of a MISO cognitive system. The new scheme tries to jointly utilize the data and channel information to design a precoding that minimizes the transmit power at a cognitive base…

Information Theory · Computer Science 2015-05-11 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

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