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Contextual optimization enhances decision quality by leveraging side information to improve predictions of uncertain parameters. However, existing approaches face significant challenges when dealing with multimodal or mixtures of…

Optimization and Control · Mathematics 2025-09-19 YoungChul Yoon , Grani A. Hanasusanto , Yijie Wang

As the number of antennas in frequency-division duplex (FDD) multiple-input multiple-output (MIMO) systems increases, acquiring channel state information (CSI) becomes increasingly challenging due to limited spectral resources and feedback…

Signal Processing · Electrical Eng. & Systems 2025-12-15 Yiran Guo , Wei Chen , Bo Ai , Lun Li

Massive multiple-input multiple-output (MIMO) communication is a promising technology for increasing spectral efficiency in wireless networks. Two of the main challenges massive MIMO systems face are degraded channel estimation accuracy due…

Information Theory · Computer Science 2018-01-18 Shahar S. Ioushua , Yonina C. Eldar

This paper considers a Massive multiple-input multiple-output (MIMO) network, where the base station (BS) with a large number of antennas communicates with a smaller number of users. The signals are transmitted using frequency division…

Information Theory · Computer Science 2018-04-24 Manijeh Bashar , Alister G. Burr , Katsuyuki Haneda Kanapathippillai Cumanan

Massive multiple-input multiple-output (mMIMO) regime reaps the benefits of spatial diversity and multiplexing gains, subject to precise channel state information (CSI) acquisition. In the current communication architecture, the downlink…

Information Theory · Computer Science 2022-08-26 Muhammad Karam Shehzad , Luca Rose , Stefan Wesemann , Mohamad Assaad , Syed Ali Hassan

We consider downlink channel training of a frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) system when a multi-antenna jammer is present in the network. The jammer intends to degrade mean square error (MSE) of…

Cryptography and Security · Computer Science 2019-04-04 Mohammad Amin Sheikhi , S. Mohammad Razavizadeh

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

In this work, we present new results for the application of rate splitting multiple access (RSMA) to the downlink (DL) of a massive multiple-input-multiple-output (MaMIMO) system operating in frequency-division-duplex (FDD) mode. Due to the…

Signal Processing · Electrical Eng. & Systems 2023-01-31 Donia Ben Amor , Michael Joham , Wolfgang Utschick

This paper explores the flexibility of generalized frequency division multiplexing (GFDM) for achieving the same performance as filter bank multicarrier (FBMC). We present a GFDM configuration where the good spectral containment of FBMC is…

Signal Processing · Electrical Eng. & Systems 2019-02-27 Ivo Bizon Franco de Almeida , Luciano Leonel Mendes

This paper investigates Gaussian copula mixture models (GCMM), which are an extension of Gaussian mixture models (GMM) that incorporate copula concepts. The paper presents the mathematical definition of GCMM and explores the properties of…

Machine Learning · Computer Science 2023-05-25 Ke Wan , Alain Kornhauser

In this paper, we propose optimal pilot pattern of downlink OFDM (Orthogonal Frequency Division Multiplexing) communication system.

Other Computer Science · Computer Science 2016-01-29 Yong Chan Lee , Won Chol Jang , Un Kyong Choe , Gyong Chol Leem

Unlike the time-division duplexing (TDD) systems, the downlink (DL) and uplink (UL) channels are not reciprocal anymore in the case of frequency-division duplexing (FDD). However, some long-term parameters, e.g. the time delays and angles…

Information Theory · Computer Science 2017-08-02 Xiliang Luo , Penghao Cai , Xiaoyu Zhang , Die Hu , Cong Shen

This paper addresses the problem of downlink channel estimation in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. The existing methods usually exploit hidden sparsity under a discrete Fourier…

Signal Processing · Electrical Eng. & Systems 2018-02-27 Jisheng Dai , An Liu , Vincent K. N. Lau

Although the benefits of precoding and combining of data signals are widely recognized, the potential of these techniques for pilot transmission is not fully understood. This is particularly relevant for multiuser multiple-input…

Information Theory · Computer Science 2016-11-17 Nima N. Moghadam , Hossein Shokri-Ghadikolaei , Gabor Fodor , Mats Bengtsson , Carlo Fischione

We consider the problem of downlink training and channel estimation in frequency division duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large number of antennas serves a number of single-antenna users…

Information Theory · Computer Science 2016-08-01 Jun Fang , Xingjian Li , Hongbin Li , Feifei Gao

We propose a comprehensive scheme for realizing a massive multiple-input multiple-output (MIMO) system with dual-polarized antennas in frequency division duplexing (FDD) mode. Employing dual-polarized elements in a massive MIMO array has…

Information Theory · Computer Science 2020-08-26 Mahdi Barzegar Khalilsarai , Tianyu Yang , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

Generalized spatial modulation-aided affine frequency division multiplexing (GSM-AFDM) is conceived for reliable multiple-input multiple-output (MIMO) communications over doubly selective channels. \textcolor{black}{We commence by proposing…

Signal Processing · Electrical Eng. & Systems 2025-09-18 Zeping Sui , Zilong Liu , Leila Musavian , Lie-Liang Yang , Lajos Hanzo

In an aerial hybrid massive multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) system, how to design a spectral-efficient broadband multi-user hybrid beamforming with a limited pilot and feedback…

Signal Processing · Electrical Eng. & Systems 2022-09-12 Zhen Gao , Minghui Wu , Chun Hu , Feifei Gao , Guanghui Wen , Dezhi Zheng , Jun Zhang

We present the Gaussian process dynamical mixture model (GPDMM) and show its utility in single-example learning of human motion data. The Gaussian process dynamical model (GPDM) is a form of the Gaussian process latent variable model…

Machine Learning · Computer Science 2025-06-18 Jesse St. Amand , Leonardo Gizzi , Martin A. Giese

The trimming scheme with a prefixed cutoff portion is known as a method of improving the robustness of statistical models such as multivariate Gaussian mixture models (MG- MMs) in small scale tests by alleviating the impacts of outliers.…

Computation and Language · Computer Science 2014-05-20 Dalei Wu , Haiqing Wu