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We propose a hierarchical interference mitigation scheme for massive MIMO cellular networks. The MIMO precoder at each base station (BS) is partitioned into an inner precoder and an outer precoder. The inner precoder controls the intra-cell…

Information Theory · Computer Science 2015-06-16 An Liu , Vincent Lau

We consider the downlink of a single-cell multi-user MIMO system in which the base station makes use of $N$ antennas to communicate with $K$ single-antenna user equipments (UEs) randomly positioned in the coverage area. In particular, we…

Information Theory · Computer Science 2016-11-17 Luca Sanguinetti , Emil Bjornson , Merouane Debbah , Aris Moustakas

This letter is concerned with transmit and receive filter optimization for the K-user MIMO interference channel. Specifically, linear transmit and receive filter sets are designed which maximize the weighted sum rate while allowing each…

Information Theory · Computer Science 2012-01-04 Joonwoo Shin , Jaekyun Moon

Hybrid precoder and combiner designs are conceived for decentralized parameter estimation in millimeter wave (mmWave) multiple-input multiple-output (MIMO) wireless sensor networks (WSNs). More explicitly, efficient pre- and post-processing…

Signal Processing · Electrical Eng. & Systems 2023-06-27 Priyanka Maity , Suraj Srivastava , Kunwar Pritiraj Rajput , Naveen K. D. Venkategowda , Aditya K. Jagannatham , Lajos Hanzo

In this paper, we consider linear precoding with SINR constraints for the downlink of a multiuser MISO (multiple-input single-output) communication system in the presence of imperfect channel state information (CSI). The base station is…

Information Theory · Computer Science 2008-04-18 P. Ubaidulla , A. Chockalingam

We present a novel approach for low-complexity equalizer design well-suited for cellular massive MIMO systems. Our design allows to exploit the channel structure in terms of covariance matrices to improve the performance in the face of…

Information Theory · Computer Science 2018-08-01 David Neumann , Thomas Wiese , Michael Joham , Wolfgang Utschick

This letter presents a low-complexity hybrid precoding framework for multiuser multiple-input multiple-output (MIMO) systems by leveraging a low-dimensional subspace property. Under the low-dimensional subspace perspective, we first…

Signal Processing · Electrical Eng. & Systems 2025-12-09 Mintaek Oh , Jinseok Choi

Massive multiple-input multiple-output (mMIMO) technology has transformed wireless communication by enhancing spectral efficiency and network capacity. This paper proposes a novel deep learning-based mMIMO precoder to tackle the complexity…

Signal Processing · Electrical Eng. & Systems 2025-02-14 Ali Hasanzadeh Karkan , Ahmed Ibrahim , Jean-François Frigon , François Leduc-Primeau

The receiver design for multi-input multi-output (MIMO) ultra-reliable and low-latency communication (URLLC) systems can be a tough task due to the use of short channel codes and few pilot symbols. Consequently, error propagation can occur…

Signal Processing · Electrical Eng. & Systems 2024-04-12 Yi Sun , Hong Shen , Bingqing Li , Wei Xu , Pengcheng Zhu , Nan Hu , Chunming Zhao

In this paper, we propose a generalized framework that combines the cognitive radio (CR) techniques for spectrum sharing and the simultaneous wireless information and power transfer (SWIPT) for energy harvesting (EH) in the conventional…

Information Theory · Computer Science 2019-10-02 Changick Song , Hoon Lee , Kyoung-Jae Lee

In this paper, we consider dynamic precoder/decorrelator optimization for multimedia streaming in MIMO interference networks. We propose a truly cross-layer framework in the sense that the optimization objective is the application level…

Information Theory · Computer Science 2015-06-18 Fan Zhang , Vincent K. N. Lau

This letter proposes an energy efficient distributed worst case robust power allocation in massive multiple input multiple output (MIMO) system. We assume a bounded channel state information (CSI) error and all channels lie in some bounded…

Signal Processing · Electrical Eng. & Systems 2019-01-04 Saeed Sadeghi Vilni

In this letter, we consider the coexistence and spectrum sharing between downlink multi-user multiple-input-multiple-output (MU-MIMO) communication and a MIMO radar. For a given performance requirement of the downlink communication system,…

Information Theory · Computer Science 2017-07-04 Fan Liu , Christos Masouros , Ang Li , Tharmalingam Ratnarajah

While machine learning (ML)-based receiver algorithms have received a great deal of attention in the recent literature, they often suffer from poor scaling with increasing spatial multiplexing order and lack of explainability and…

Signal Processing · Electrical Eng. & Systems 2026-02-13 Mikko Honkala , Dani Korpi , Elias Raninen , Janne M. J. Huttunen

Coordinated information processing by the base stations of multi-cell wireless networks enhances the overall quality of communication in the network. Such coordinations for optimizing any desired network-wide quality of service (QoS)…

Information Theory · Computer Science 2015-05-20 Ali Tajer , Narayan Prasad , Xiaodong Wang

We investigate precoding for multi-user (MU) multiple-input multiple-output (MIMO) joint communications and sensing (JCAS) systems, taking into account the potential interference between sensing and communication channels. We derive…

Signal Processing · Electrical Eng. & Systems 2026-02-02 Charlotte Muth , Shrinivas Chimmalgi , Laurent Schmalen

Practical multiple-input-multiple-output (MIMO) systems depend on a predefined set of precoders to provide spatial multiplexing gain. This limitation on the flexibility of the precoders affects the overall performance. Here, we propose a…

Signal Processing · Electrical Eng. & Systems 2020-03-06 Berker Peköz , Mohammed Hafez , Selçuk Köse , Hüseyin Arslan

In this paper, linear transceiver design for dual-hop non-regenerative (amplify-and-forward (AF)) MIMO-OFDM systems under channel estimation errors is investigated. Second order moments of channel estimation errors in the two hops are first…

Information Theory · Computer Science 2015-05-19 Chengwen Xing , Shaodan Ma , Yik-Chung Wu , Tung-Sang Ng

Mean-squared-error (MSE) is one of the most widely used performance metrics for the designs and analysis of multi-input-multiple-output (MIMO) communications. Weighted MSE minimization, a more general formulation of MSE minimization, plays…

Information Theory · Computer Science 2016-10-03 Chengwen Xing , Yindi Jing , Yiqing Zhou

This paper investigates the design of precoders for single-user multiple-input multiple-output (MIMO) channels, and in particular for finite-alphabet signals. Based on an asymptotic expression for the mutual information of channels…

Information Theory · Computer Science 2017-04-18 Yongpeng Wu , Chao-Kai Wen , Derrick Wing Kwan Ng , Robert Schober , Angel Lozano
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