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As millimeter-wave (mmWave) MIMO systems adopt larger antenna arrays, near-field propagation becomes increasingly prominent, especially for users close to the transmitter. Traditional far-field beam training methods become inadequate, while…

Information Theory · Computer Science 2026-02-03 Weicao Deng , Binpu Shi , Min Li , Osvaldo Simeone

In this paper, we solve the sum mean-squared error (MSE)-optimal 1-bit quantized precoding problem exactly for small-to-moderate sized multiuser multiple-input multiple-output (MU-MIMO) systems via branch and bound. To this end, we…

Information Theory · Computer Science 2018-04-11 Sven Jacobsson , Weiyu Xu , Giuseppe Durisi , Christoph Studer

Integrated sensing and communication is regarded as a key enabler for next-generation wireless networks. To optimize the transmitted waveform for both sensing and communication, various performance metrics must be considered. This work…

We provide a simple, yet general and accurate framework for analyzing zero-forcing (ZF) precoding performance for a full-dimensional massive multiple-input multiple-output system. Exploiting an order two Neumann series, our framework…

Information Theory · Computer Science 2021-08-03 Harsh Tataria , Mansoor Shafi

Zero-forcing (ZF) precoding plays an important role for massive MIMO downlink due to its near optimal performance. However, the high computation cost of the involved matrix inversion hinders its application. In this paper, we adopt the…

Information Theory · Computer Science 2017-11-02 Cheng Zhang , Yindi Jing , Yongming Huang , Luxi Yang

Channel estimation for millimeter-wave (mmWave) massive MIMO with hybrid precoding is challenging, since the number of radio frequency (RF) chains is usually much smaller than that of antennas. To date, several channel estimation schemes…

Information Theory · Computer Science 2023-10-20 Zhen Gao , Linglong Dai , Chen Hu , Zhaocheng Wang

This paper focuses on the analysis and optimization of a class of linear one-bit precoding schemes for a downlink massive MIMO system under Rayleigh fading channels. The considered class of linear one-bit precoding is fairly general,…

Information Theory · Computer Science 2023-06-28 Zheyu Wu , Junjie Ma , Ya-Feng Liu , A. Lee Swindlehurst

To satisfy the capacity requirements of future mobile systems, under-utilized millimeter wave frequencies can be efficiently exploited by employing massive MIMO technology with highly directive beamforming. Hybrid analog-digital beamforming…

Signal Processing · Electrical Eng. & Systems 2020-12-08 Mohammad Majidzadeh , Jarkko Kaleva , Nuutti Tervo , Harri Pennanen , Antti Tolli , Matti Latva-aho

In this paper we examine a number of deployment issues which arise from practical considerations in massive multiple-input-multiple-output (MIMO) systems. We show both spatial correlation and line-of-sight (LOS) introduce an interference…

Information Theory · Computer Science 2015-03-04 Callum T. Neil , Mansoor Shafi , Peter J. Smith , Pawel A. Dmochowski

In this paper, we focus on 1-bit precoding for large-scale antenna systems in the downlink based on the concept of constructive interference (CI). By formulating the optimization problem that aims to maximize the CI effect subject to the…

Signal Processing · Electrical Eng. & Systems 2020-02-14 Ang Li , Fan Liu , Christos Masouros , Yonghui Li , Branka Vucetic

In this paper, we analyze the ergodic sum-rate of a multi-cell downlink system with base station (BS) cooperation using regularized zero-forcing (RZF) precoding. Our model assumes that the channels between BSs and users have independent…

Information Theory · Computer Science 2016-11-15 Jun Zhang , Chao-Kai Wen , Shi Jin , Xiqi Gao , Kai-Kit Wong

This paper derives a Ziv-Zakai Bound (ZZB) on the Mean Squared Error (MSE) for Direction-of-Arrival (DoA) estimation in co-located Multiple-Input Multiple-Output (MIMO) radar systems and provides closed-form expressions that hold for…

Information Theory · Computer Science 2025-11-12 Mohammadreza Bakhshizadeh Mohajer , Daniela Tuninetti , Luca Barletta

Channel estimation is useful in millimeter wave (mmWave) MIMO communication systems. Channel state information allows optimized designs of precoders and combiners under different metrics such as mutual information or…

Information Theory · Computer Science 2017-04-28 Javier Rodríguez-Fernández , Nuria González-Prelcic , Kiran Venugopal , Robert W. Heath

In this paper, we consider a general K-user Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC). We assume that the channel state is deterministic and known to all the nodes. While the private-message capacity region is…

Information Theory · Computer Science 2021-04-29 Zheng Li , Sheng Yang , Shlomo Shamai

In multi-user millimeter wave (mmWave) multiple-input-multiple-output (MIMO) systems, hybrid precoding is a crucial task to lower the complexity and cost while achieving a sufficient sum-rate. Previous works on hybrid precoding were usually…

Signal Processing · Electrical Eng. & Systems 2020-04-28 Ahmet M. Elbir , Anastasios Papazafeiropoulos

This article presents an efficient quasi-optimal sum rate (SR) maximization technique based on zero-forcing water-filling (ZFWF) algorithm directly applied to cognitive radio networks (CRNs). We have defined the non-convexity nature of the…

Signal Processing · Electrical Eng. & Systems 2018-10-09 Lucas Claudino , Taufik Abrao

The focus of this paper is on multi-user MIMO transmissions for millimeter wave systems with a hybrid precoding architecture at the base-station. To enable multi-user transmissions, the base-station uses a cell-specific codebook of…

Information Theory · Computer Science 2018-07-04 Miguel R. Castellanos , Vasanthan Raghavan , Jung H. Ryu , Ozge H. Koymen , Junyi Li , David J. Love , Borja Peleato

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

In this paper, the feasibility of a new downlink transmission mode in massive multi-input multi-output (MIMO) systems is investigated with two types of users, i.e., the users with only statistical channel state information (CSI) and the…

Information Theory · Computer Science 2017-12-01 Shuang Qiu , Da Chen , Daiming Qu , Kai Luo , Tao Jiang

In this paper, we consider the precoder design for an under-loaded or critically loaded downlink multi-user multiple-input multiple-output (MU-MIMO) communication system. We propose novel precoding and decoding schemes which enhance system…

Information Theory · Computer Science 2022-05-03 Aravindh Krishnamoorthy , Robert Schober
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