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For downlink transmission in massive multi-user multiple-input multiple-output (MU-MIMO) systems, conventional precoding research heavily focuses on reducing the computational complexity of precoding matrix design, while largely overlooking…

Signal Processing · Electrical Eng. & Systems 2026-05-19 Shuai Gao , Fan Xu , Mian Li , Xinzhi Ning , Lei Qiu , Ye Yang , Qingjiang Shi

This paper proposes a new transmission strategy for the multiuser massive multiple-input multiple-output (MIMO) systems, including uplink/downlink channel estimation and user scheduling for data transmission. A discrete Fourier transform…

Information Theory · Computer Science 2016-01-12 Hongxiang Xie , Feifei Gao , Shun Zhang , Shi Jin

This paper introduces a practical precoding method for the downlink of Filter Bank Multicarrier-based (FBMC-based) massive multiple-input multiple-output (MIMO) systems. The proposed method comprises a two-stage precoder, consisting of a…

Signal Processing · Electrical Eng. & Systems 2023-11-20 Hamed Hosseiny , Arman Farhang , Behrouz Farhang-Boroujeny

In terahertz (THz) massive multiple-input multiple-output (MIMO) systems, the combination of huge bandwidth and massive antennas results in severe beam split, thus making the conventional phase-shifter based hybrid precoding architecture…

Information Theory · Computer Science 2022-11-29 Jiabao Gao , Caijun Zhong , Geoffrey Ye Li , Joseph B. Soriaga , Arash Behboodi

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

This paper considers a single-cell massive MIMO (multiple-input multiple-output) system with dual-polarized antennas at both the base station and users. We study a channel model that includes the key practical aspects that arise when…

Information Theory · Computer Science 2022-09-21 Özgecan Özdogan , Emil Björnson

We consider a multi-cell multiple-input multiple-output (MIMO) coordinated downlink transmission, also known as network MIMO, under per-antenna power constraints. We investigate a simple multiuser zero-forcing (ZF) linear precoding…

Information Theory · Computer Science 2013-04-18 Saeed Kaviani , Witold A. Krzymien

Massive multiple-input multiple-output (MIMO) is one of the key technologies in future generation networks. Owing to their considerable spectral and energy efficiency gains, massive MIMO systems provide the needed performance to cope with…

Information Theory · Computer Science 2017-10-09 Salah Eddine Hajri , Mohamad Assaad , Maialen Larrañaga

This work revisits a recently proposed precoding design for massive multiple-input multiple output (MIMO) systems that is based on the use of an instantaneous total power constraint. The main advantages of this technique lie in its…

Information Theory · Computer Science 2016-06-02 Houssem Sifaou , Abla Kammoun , Mohamed-Slim Alouini

This work aims to design a cellular network for maximal energy efficiency (EE). In particular, we consider the uplink with multi-antenna base stations and assume that zero- forcing (ZF) combining is used for data detection with imperfect…

Information Theory · Computer Science 2017-09-19 Andrea Pizzo , Daniel Verenzuela , Luca Sanguinetti , Emil Björnson

Cell-free massive multiple-input multiple-output (MIMO) is a promising network to offer huge improvement of the achievable rate compared with conventional cellular massive MIMO systems. However, the commonly adopted Shannon-type achievable…

Information Theory · Computer Science 2022-09-30 Enyu Shi , Jing Zhang , Jiayi Zhang , Derrick Wing Kwan Ng , Bo Ai

A large majority of cellular networks deployed today make use of Frequency Division Duplexing (FDD) where, in contrast with Time Division Duplexing (TDD), the channel reciprocity does not hold and explicit downlink (DL) probing and uplink…

Information Theory · Computer Science 2019-12-09 Mahdi Barzegar Khalilsarai , Yi Song , Tianyu Yang , Saeid Haghighatshoar , Giuseppe Caire

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

The design of message passing (MP) algorithms on factor graphs is an effective manner to implement channel estimation (CE) in wireless communication systems, which performance can be further improved by exploiting prior probability models…

Information Theory · Computer Science 2023-03-21 Yi Song , Chuanzong Zhang , Xinhua Lu , Fabio Saggese , Zhongyong Wang

This paper focuses on the performance analysis of a class of limited peak-to-average power ratio (PAPR) precoders for downlink multi-user massive multiple-input multiple-output (MIMO) systems. Contrary to conventional precoding approaches…

Signal Processing · Electrical Eng. & Systems 2022-12-14 Xiuxiu Ma , Abla Kammoun , Ayed M. Alrashdi , Tarig Ballal , Tareq Y. Al-Naffouri , Mohamed-Slim Alouini

In this paper, we study the low-complexity channel reconstruction methods for downlink precoding in massive multiple-Input multiple-Output (MIMO) systems. When the user is allocated less streams than the number of its antennas, the base…

Information Theory · Computer Science 2015-10-30 Yuwei Ren , Yang Song , Xin Su

Cell-free massive MIMO (CF-mMIMO) is expected to provide reliable wireless services for a large number of user equipments (UEs) using access points (APs) distributed across a wide area. When the UEs are battery-powered, uplink energy…

Signal Processing · Electrical Eng. & Systems 2022-05-10 Thomas Choi , Masaaki Ito , Issei Kanno , Takeo Oseki , Kosuke Yamazaki , Andreas F. Molisch

Massive multiple-input multiple-output (MIMO) is envisioned to offer considerable capacity improvement, but at the cost of high complexity of the hardware. In this paper, we propose a low-complexity hybrid precoding scheme to approach the…

Information Theory · Computer Science 2016-11-17 Le Liang , Wei Xu , Xiaodai Dong

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

The use of low-resolution digital-to-analog and analog-to-digital converters (DACs and ADCs) significantly benefits energy efficiency (EE) at the cost of high quantization noise in implementing massive multiple-input multiple-output (MIMO)…

Signal Processing · Electrical Eng. & Systems 2021-08-16 Jinseok Choi , Jeonghun Park , Namyoon Lee