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This paper proposes a stochastic geometry framework to analyze the SINR and rate performance in a large-scale uplink massive MIMO network. Based on the model, expressions are derived for spatial average SINR distributions over user and base…

Information Theory · Computer Science 2016-04-05 Tianyang Bai , Robert W. Heath

This paper proposes the nonlinear Least Square Error (LSE) precoders for multiuser MIMO broadcast channels. The output signals of LSE Precoders are limited to be chosen from a predefined set which let these precoders address several…

Information Theory · Computer Science 2017-08-09 Mohammad Ali Sedaghat , Ali Bereyhi , Ralf Mueller

Linear precoding and post-processing schemes are ubiquitous in wireless multi-input-multi-output (MIMO) settings, due to their reduced complexity with respect to optimal strategies. Despite their popularity, the performance analysis of…

Information Theory · Computer Science 2019-10-31 M. Kieburg , G. Akemann , G. Alfano , G. Caire

In this paper, we consider precoder designs for multiuser multiple-input-single-output (MISO) broadcasting channels. Instead of using a traditional linear zero-forcing (ZF) precoder, we propose a generalized ZF (GZF) precoder in conjunction…

Information Theory · Computer Science 2017-09-07 Sha Hu , Fredrik Rusek

A multiantenna multiuser broadcast channel with transmitter beamforming and user selection is considered. Different from the conventional works, we consider imperfect channel state information (CSI) which is a practical scenario for…

Signal Processing · Electrical Eng. & Systems 2020-03-24 Zijian Wang , Wen Chen

Linear receivers offer a low complexity option for multi-antenna communication systems. Therefore, understanding the outage behavior of the corresponding SINR is important in a fading mobile environment. In this paper we introduce a large…

Information Theory · Computer Science 2012-09-17 Aris L. Moustakas , Pavlos Kazakopoulos

We analyze the performance of multiple input/multiple output (MIMO) communications systems employing spatial multiplexing and zero-forcing detection (ZF). The distribution of the ZF signal-to-noise ratio (SNR) is characterized when either…

Information Theory · Computer Science 2014-01-03 Constantin Siriteanu , Steven Blostein , Akimichi Takemura , Hyundong Shin , Shahram Yousefi , Satoshi Kuriki

Massive MIMO system yields significant improvements in spectral and energy efficiency for future wireless communication systems. The regularized zero-forcing (RZF) beamforming is able to provide good performance with the capability of…

Information Theory · Computer Science 2020-03-31 Hayoung Choi , Tao Jiang , Yuanming Shi , Xuan Liu , Khaled B. Letaief

We investigate coordinated regularized zero-forcing precoding for limited feedback multicell multiuser multiple-input single-output systems. We begin by deriving an approximation to the expected signal-to-interference-plus-noise ratio for…

Information Theory · Computer Science 2016-11-18 Jawad Mirza , Peter J. Smith , Pawel A. Dmochowski , Mansoor Shafi

This paper answers a fundamental question about the exact distribution of the signal-to-interference-plus-noise ratio (SINR) under matched-filter (MF) precoding. Specifically, we derive the exact expressions for the cumulative distribution…

Information Theory · Computer Science 2024-01-31 Hui Zhao , Dirk Slock , Petros Elia

Large-scale MIMO systems have been considered as one of the possible candidates for the next-generation wireless communication technique, due to their potential to provide significant higher throughput than conventional wireless systems.…

Information Theory · Computer Science 2014-10-06 Dengkui Zhu , Boyu Li , Ping Liang

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

Information Theory · Computer Science 2016-06-14 Songtao Lu , Zhengdao Wang

In this paper, we propose network massive multiple- input multiple-output (MIMO) systems, where three radio units (RUs) connected via one digital unit (DU) support multiple user equipments (UEs) at a cell-boundary through the same radio…

Information Theory · Computer Science 2012-09-20 Changwoo Lee , Chan-Byoung Chae , Taehyung Kim , Sooyong Choi , Juho Lee

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 study the performance of random isometric precoders over quasi-static and correlated fading channels. We derive deterministic approximations of the mutual information and the signal-to-interference-plus-noise ratio (SINR)…

Information Theory · Computer Science 2016-11-18 Romain Couillet , Jakob Hoydis , Merouane Debbah

In a cooperative multiple-antenna downlink cellular network, maximization of a concave function of user rates is considered. A new linear precoding technique called soft interference nulling (SIN) is proposed, which performs at least as…

Information Theory · Computer Science 2013-05-10 Chris T. K. Ng , Howard Huang

We analyze the high-SNR regime of the MxK Network MISO channel in which each transmitter has access to a different channel estimate, possibly with different precision. It has been recently shown that, for some regimes, this setting attains…

Information Theory · Computer Science 2021-10-12 Antonio Bazco-Nogueras , Paul de Kerret , David Gesbert , Nicolas Gresset

In this paper, we analyze the performance of regularized channel inversion (RCI) precoding in multiple-input single-output (MISO) broadcast channels with confidential messages under transmit-side channel correlation. We derive a…

Information Theory · Computer Science 2016-11-18 Giovanni Geraci , Azzam Y. Al-nahari , Jinhong Yuan , Iain B. Collings

Cell-free massive multiple-input multiple-output (MIMO) systems, leveraging tight cooperation among wireless access points, exhibit remarkable signal enhancement and interference suppression capabilities, demonstrating significant…

Signal Processing · Electrical Eng. & Systems 2024-10-10 Peng Jiang , Jiafei Fu , Pengcheng Zhu , Yan Wang , Jiangzhou Wang , Xiaohu You

Cell-free Massive MIMO (multiple-input multiple-output) is a promising distributed network architecture for 5G-and-beyond systems. It guarantees ubiquitous coverage at high spectral efficiency (SE) by leveraging signal co-processing at…

Information Theory · Computer Science 2020-04-17 Giovanni Interdonato , Marcus Karlsson , Emil Björnson , Erik G. Larsson