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Recent advances in massive multiple-input multiple-output (MIMO) communication show that equipping base stations (BSs) with large arrays of antenna can significantly improve the performance of cellular networks. Massive MIMO has the…

Signal Processing · Electrical Eng. & Systems 2018-04-18 Yan Huang , Brian Jalaian , Stephen Russell , Hooman Samani

Cell-free Massive MIMO (multiple-input multiple-output) refers to a distributed Massive MIMO system where all the access points (APs) cooperate to coherently serve all the user equipments (UEs), suppress inter-cell interference and mitigate…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Hien Quoc Ngo , Pål Frenger , Erik G. Larsson

We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the receiver (base station) has a large number of antennas. Specifically, we analyze achievable…

Information Theory · Computer Science 2013-11-07 Zhengdao Wang

Full-dimensional (FD) multi-user massive multiple input multiple output (m-MIMO) systems employ large two-dimensional (2D) rectangular antenna arrays to control both the azimuth and elevation angles of signal transmission. We introduce the…

Information Theory · Computer Science 2023-02-21 W. Zhu , H. D. Tuan , E. Dutkiewicz , Y. Fang , L. Hanzo

Application of massive multiple-input multiple-output (MIMO) systems to frequency division duplex (FDD) is challenging mainly due to the considerable overhead required for downlink training and feedback. Channel extrapolation, i.e.,…

Signal Processing · Electrical Eng. & Systems 2020-10-01 Thomas Choi , François Rottenberg , Jorge Gomez-Ponce , Akshay Ramesh , Peng Luo , Jianzhong Zhang , Andreas F. Molisch

A massive MIMO system entails a large number (tens or hundreds) of base station antennas serving a much smaller number of terminals. These systems demonstrate large gains in spectral and energy efficiency compared with conventional MIMO…

Information Theory · Computer Science 2017-01-19 Ansuman Adhikary , Alexei Ashikhmin , Thomas L. Marzetta

We consider a massive MU-MIMO downlink time-division duplex system where a base station (BS) equipped with many antennas serves several single-antenna users in the same time-frequency resource. We assume that the BS uses linear precoding…

Information Theory · Computer Science 2013-10-08 Hien Quoc Ngo , Erik G. Larsson , Thomas L. Marzetta

Massive multiple-input--multiple-output (MIMO) systems can suffer from coherent intercell interference due to the phenomenon of pilot contamination. This paper investigates a two-layer decoding method that mitigates both coherent and…

Information Theory · Computer Science 2019-01-17 Trinh Van Chien , Christopher Mollén , Emil Björnson

In this paper, we analyze the performance of the uplink communication of massive multi-cell multiple-input multiple-output (MIMO) systems under the effects of pilot contamination and delayed channels because of terminal mobility. The base…

Information Theory · Computer Science 2016-11-17 Anastasios K. Papazafeiropoulos , Hien Quoc Ngo , Tharm Ratnarajah

In this work we extend the concept of uplink-downlink rate balancing to frequency division duplex (FDD) massive MIMO systems. We consider a base station with large number antennas serving many single antenna users. We first show that any…

Information Theory · Computer Science 2016-05-04 Itsik Bergel , Yona Perets , Shlomo Shamai

Coarse quantization at the base station (BS) of a massive multi-user (MU) multiple-input multiple-output (MIMO) wireless system promises significant power and cost savings. Coarse quantization also enables significant reductions of the raw…

Information Theory · Computer Science 2016-04-21 Christoph Studer , Giuseppe Durisi

This paper investigates downlink channel estimation in frequency-division duplex (FDD)-based massive multiple-input multiple-output (MIMO) systems. To reduce the overhead of downlink channel estimation and uplink feedback in FDD systems,…

Information Theory · Computer Science 2016-08-24 Yinsheng Liu , Yinjun Liu , Qimei Cui , Riku Jantti

This paper considers pilot design to mitigate pilot contamination and provide good service for everyone in multi-cell Massive multiple input multiple output (MIMO) systems. Instead of modeling the pilot design as a combinatorial assignment…

Information Theory · Computer Science 2018-01-23 Trinh Van Chien , Emil Björnson , Erik G. Larsson

This paper introduces a hybrid pilot-aided channel estimation technique for mitigating the effect of pilot contamination for the uplink of multi-cell multiuser massive MIMO systems. The proposed hybrid pilot is designed such that it enjoys…

Information Theory · Computer Science 2016-12-23 Jiaming Li , Chau Yuen , Dong Li , Han Zhang , Xianda Wu

This paper compares two important downlink multicell interference mitigation techniques, namely, large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. We consider a cooperative wireless cellular system operating in…

Information Theory · Computer Science 2014-07-23 Kianoush Hosseini , Wei Yu , Raviraj S. Adve

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

High-speed train (HST) communications with orthogonal frequency division multiplexing (OFDM) techniques have received significant attention in recent years. Besides, cell-free (CF) massive multiple-input multiple-output (MIMO) is considered…

Information Theory · Computer Science 2022-01-25 Jiakang Zheng , Jiayi Zhang , Enyu Shi , Jing Jiang , Bo Ai

In this paper, we investigate a cell-free massive MIMO system with both access points (APs) and user equipments (UEs) equipped with multiple antennas over jointly-correlated Rayleigh fading channels. We study four uplink implementations,…

Information Theory · Computer Science 2022-03-18 Zhe Wang , Jiayi Zhang , Bo Ai , Chau Yuen , Mérouane Debbah

In this paper, we investigate the downlink throughput performance of a massive multiple-input multiple-output (MIMO) system that employs superimposed pilots for channel estimation. The component of downlink (DL) interference that results…

Information Theory · Computer Science 2019-04-16 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera

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