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In this paper, we investigate the quantization and the feedback of downlink spatial covariance matrix for massive multiple-input multiple-output (MIMO) systems with cascaded precoding. Massive MIMO has gained a lot of attention recently…

Information Theory · Computer Science 2016-10-18 Yinsheng Liu , Geoffrey Ye Li , Wei Han

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it preferable to get…

Information Theory · Computer Science 2016-11-17 Niranjay Ravindran , Nihar Jindal

We provide in this paper a comprehensive solution to the design, performance analysis, and optimization of a multi-antenna non-orthogonal multiple access (NOMA) system for multiuser downlink communications under a general limited channel…

Information Theory · Computer Science 2019-12-03 Zhiyao Tang , Liang Sun , Lu Cao , Shutong Qi , and Yong Feng

We propose a novel method for massive Multiple-Input Multiple-Output (massive MIMO) in Frequency Division Duplexing (FDD) systems. Due to the large frequency separation between Uplink (UL) and Downlink (DL), in FDD systems channel…

Information Theory · Computer Science 2018-08-28 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

One challenge for FDD massive MIMO communication system is how to obtain the downlink channel state information (CSI) at the base station. Except for traditional codebook feedback through uplink pilot transmission, some channel reciprocity…

Information Theory · Computer Science 2020-09-16 Zhimeng Zhong , Li Fan , Shibin Ge

To fully unlock the benefits of multiple-input multiple-output (MIMO) networks, downlink channel state information (CSI) is required at the base station (BS). In frequency division duplex (FDD) systems, the CSI is acquired through a…

Information Theory · Computer Science 2023-05-23 Matteo Nerini , Valentina Rizzello , Michael Joham , Wolfgang Utschick , Bruno Clerckx

Downlink beamforming in Massive MIMO either relies on uplink pilot measurements - exploiting reciprocity and TDD operation, or on the use of a predetermined grid of beams with user equipments reporting their preferred beams, mostly in FDD…

Information Theory · Computer Science 2017-04-04 Jose Flordelis , Fredrik Rusek , Fredrik Tufvesson , Erik G. Larsson , Ove Edfors

The overheads associated with feedback-based channel acquisition can greatly compromise the achievable rates of FDD based massive MIMO systems. Indeed, downlink (DL) training and uplink (UL) feedback overheads scale linearly with the number…

Information Theory · Computer Science 2018-02-06 Nadisanka Rupasinghe , Yuichi Kakishima , Haralabos Papadopoulos , Ismail Guvenc

In this paper, we propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as \emph{cache-aided massive MIMO}, for multi-cell downlink transmission to multiple cache-enabled receivers.…

Information Theory · Computer Science 2022-04-12 Lin Xiang , Xiao Wei , Laura Cottatellucci , Robert Schober , Tao Jiang

In millimeter wave (mmWave) systems, antenna architecture limitations make it difficult to apply conventional fully digital precoding techniques but call for low cost analog radio-frequency (RF) and digital baseband hybrid precoding…

Information Theory · Computer Science 2017-10-11 Shiwen He , Jiaheng Wang , Yongming Huang , Bjorn Ottersten , Wei Hong

We derive novel bounds for the performance of algorithms that estimate the downlink covariance matrix from the uplink covariance matrix in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems. The focus is…

Signal Processing · Electrical Eng. & Systems 2018-08-02 Renato Luis Garrido Cavalcante , Lorenzo Miretti , Slawomir Stanczak

We analyze the effect of finite rate feedback on CDMA (code-division multiple access) signature optimization and MIMO (multi-input-multi-output) beamforming vector selection. In CDMA signature optimization, for a particular user, the…

Information Theory · Computer Science 2007-07-13 Wei Dai , Youjian Liu , Brian Rider

In frequency division duplex massive multiple-input multiple-output systems, downlink channel state information must be fed back within a limited uplink budget. While transform coding with Karhunen-Loeve transform and reverse water-filling…

Information Theory · Computer Science 2026-04-23 Youngmok Park , Bumsu Park , Namyoon Lee

In this paper we propose a downlink codebook-based opportunistic interference alignment (OIA) in a three-cell MIMO system. A codebook composed of multiple transmit vector sets is utilized to improve the multiuser selection diversity. The…

Information Theory · Computer Science 2014-03-20 Haijing Liu , Hui Gao , Wei Long , Tiejun Lv

In this paper, the problem of designing a forward link linear precoder for Massive Multiple-Input Multiple-Output (MIMO) systems in conjunction with Quadrature Amplitude Modulation (QAM) is addressed. First, we employ a novel and efficient…

Information Theory · Computer Science 2017-07-14 Thomas Ketseoglou , Ender Ayanoglu

Remarkable research activities and major advances have been occurred over the past decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several transmission technologies and precoding techniques have been developed in order…

Information Theory · Computer Science 2016-11-16 Eduardo Castañeda , Adão Silva , Atílio Gameiro , Marios Kountouris

This paper investigates an uplink multiuser massive multiple-input multiple-output (MIMO) system with one-bit analog-to-digital converters (ADCs), in which $K$ users with a single-antenna communicate with one base station (BS) with $n_r$…

Information Theory · Computer Science 2017-02-03 Seonho Kim , Namyoon Lee , Songnam Hong

We study downlink channel estimation in a frequency-division duplex (FDD) massive MIMO system from PMI-only feedback under a 5G NR-type limited-feedback architecture. In this architecture, the user selects a preferred codeword from a shared…

Information Theory · Computer Science 2026-04-27 Jinchi Chen , Mingxi Hu , Peigang Jiang , Xin Meng , Ke Wei , Xianyin Zhang

The channel feedback overhead for massive MIMO systems with a large number of base station (BS) antennas is very high, since the number of feedback bits of traditional codebooks scales linearly with the number of BS antennas. To reduce the…

Information Theory · Computer Science 2017-01-23 Wenqian Shen , Linglong Dai , Yu Zhang , Zhaocheng Wang

Channel state information (CSI) feedback is necessary for the frequency division duplexing (FDD) multiple input multiple output (MIMO) systems due to the channel non-reciprocity. With the help of deep learning, many works have succeeded in…

Information Theory · Computer Science 2023-02-07 Zhilin Lu , Xudong Zhang , Rui Zeng , Jintao Wang
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