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Reciprocity-based time-division duplex (TDD) Massive MIMO (multiple-input multiple-output) systems utilize channel estimates obtained in the uplink to perform precoding in the downlink. However, this method has been criticized of breaking…

Information Theory · Computer Science 2022-06-13 Ema Becirovic , Emil Björnson , Erik G. Larsson

A major obstacle for widespread deployment of frequency division duplex (FDD)-based Massive multiple-input multiple-output (MIMO) communications is the large signaling overhead for reporting full downlink (DL) channel state information…

Information Theory · Computer Science 2019-01-14 Maximilian Arnold , Sebastian Dörner , Sebastian Cammerer , Sarah Yan , Jakob Hoydis , Stephan ten Brink

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

Unlike the time-division duplexing (TDD) systems, the downlink (DL) and uplink (UL) channels are not reciprocal anymore in the case of frequency-division duplexing (FDD). However, some long-term parameters, e.g. the time delays and angles…

Information Theory · Computer Science 2017-08-02 Xiliang Luo , Penghao Cai , Xiaoyu Zhang , Die Hu , Cong Shen

Massive multiple-input multiple-output (MIMO) is believed to deliver unrepresented spectral efficiency gains for 5G and beyond. However, a practical challenge arises during its commercial deployment, which is known as the ``curse of…

Information Theory · Computer Science 2022-05-27 Ziao Qin , Haifan Yin , Yandi Cao , Weidong Li , David Gesbert

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

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

Channel reciprocity in time-division duplexing (TDD) massive multiple-input multiple-output (MIMO) systems can be exploited to reduce the overhead required for the acquisition of channel state information (CSI). However, perfect reciprocity…

Information Theory · Computer Science 2018-03-08 De Mi , Mehrdad Dianati , Lei Zhang , Sami Muhaidat , Rahim Tafazolli

The increasingly demanding objectives for next generation wireless communications have spurred recent research activities on multi-antenna transceiver hardware architectures and relevant intelligent communication schemes. Among them belong…

Information Theory · Computer Science 2022-05-18 George C. Alexandropoulos , Md Atiqul Islam , Besma Smida

We propose a comprehensive scheme for realizing a massive multiple-input multiple-output (MIMO) system with dual-polarized antennas in frequency division duplexing (FDD) mode. Employing dual-polarized elements in a massive MIMO array has…

Information Theory · Computer Science 2020-08-26 Mahdi Barzegar Khalilsarai , Tianyu Yang , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

In this paper, we propose a novel method for efficient implementation of a massive Multiple-Input Multiple-Output (massive MIMO) system with Frequency Division Duplexing (FDD) operation. Our main objective is to reduce the large overhead…

Information Theory · Computer Science 2017-10-24 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

Canonical Massive MIMO uses time division duplex (TDD) to exploit channel reciprocity within the coherence time, avoiding feedback of channel state information (CSI), as is required for precoding at the base station. We extend the idea of…

Information Theory · Computer Science 2018-04-18 Maximilian Arnold , Xiaojie Wang , Stephan ten Brink

Massive MIMO systems can achieve high spectrum and energy efficiency in downlink (DL) based on accurate estimate of channel state information (CSI). Existing works have developed learning-based DL CSI estimation that lowers uplink feedback…

Information Theory · Computer Science 2022-05-31 Yu-Chien Lin , Ta-Sung Lee , Zhi Ding

The knowledge of the downlink (DL) channel spatial covariance matrix at the BS is of fundamental importance for large-scale array systems operating in frequency division duplexing (FDD) mode. In particular, this knowledge plays a key role…

Signal Processing · Electrical Eng. & Systems 2019-10-25 Lorenzo Miretti , Renato L. G. Cavalcante , Slawomir Stanczak

To get channel state information (CSI) at a base station (BS), most of researches on massive multiple-input multiple-output (MIMO) systems consider time division duplexing (TDD) to get benefit from the uplink and downlink channel…

Information Theory · Computer Science 2022-06-28 Hyeongtaek Lee , Hyuckjin Choi , Hwanjin Kim , Sucheol Kim , Chulhee Jang , Yongyun Choi , Junil Choi

In order to unlock the full advantages of massive multiple input multiple output (MIMO) in the downlink, channel state information (CSI) is required at the base station (BS) to optimize the beamforming matrices. In frequency division duplex…

Information Theory · Computer Science 2021-07-09 Yusha Liu , Osvaldo Simeone

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

The acquisition of channel state information (CSI) in Frequency Division Duplex (FDD) massive MIMO has been a formidable challenge. In this paper, we address this problem with a novel CSI feedback framework enabled by the partial…

Information Theory · Computer Science 2022-01-27 Haifan Yin , David Gesbert

Channel covariance is emerging as a critical ingredient of the acquisition of instantaneous channel state information (CSI) in multi-user Massive MIMO systems operating in frequency division duplex (FDD) mode. In this context, channel…

Information Theory · Computer Science 2016-02-19 Alexis Decurninge , Maxime Guillaud , Dirk Slock

Massive MIMO systems are well-suited for mm-Wave communications, as large arrays can be built with reasonable form factors, and the high array gains enable reasonable coverage even for outdoor communications. One of the main obstacles for…

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