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This paper proposes a novel approach for designing channel estimation, beamforming and scheduling jointly for wideband massive multiple input multiple output (MIMO) systems. With the proposed approach, we first quantify the maximum number…

Information Theory · Computer Science 2018-01-17 Tadilo Endeshaw Bogale , Long Bao Le , Xianbin Wang

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

Recent information theoretic results suggest that precoding on the multi-user downlink MIMO channel with delayed channel state information at the transmitter (CSIT) could lead to data rates much beyond the ones obtained without any CSIT,…

Information Theory · Computer Science 2012-07-10 Xinping Yi , David Gesbert

Wireless links using massive MIMO transceivers are vital for next generation wireless communications networks networks. Precoding in Massive MIMO transmission requires accurate downlink channel state information (CSI). Many recent works…

Information Theory · Computer Science 2022-01-17 Mason del Rosario , Zhi Ding

The large beamforming gain used to operate at millimeter wave (mmWave) frequencies requires obtaining channel information to configure hybrid antenna arrays. Previously proposed wideband channel estimation strategies, however, assume…

Signal Processing · Electrical Eng. & Systems 2019-06-06 Javier Rodriguez-Fernandez , Nuria Gonzalez-Prelcic

Hybrid analog/digital architectures and receivers with low-resolution analog-to-digital converters (ADCs) are two low power solutions for wireless systems with large antenna arrays. Most prior work represents two extreme cases in which…

Signal Processing · Electrical Eng. & Systems 2019-11-01 Mahdi Eskandari , Hamidreza Bakhshi

In this work, the uplink channel estimation problem is considered for a millimeter wave (mmWave) multi-input multi-output (MIMO) system. It is well known that pilot overhead and computation complexity in estimating the channel increases…

Information Theory · Computer Science 2023-02-07 Rakesh Mundlamuri , Rajeev Gangula , Christo Kurisummoottil Thomas , Florian Kaltenberger , Walid Saad

We study the information rates of non-coherent, stationary, Gaussian, multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbor decoding and pilot-aided channel estimation. In particular, we…

Information Theory · Computer Science 2014-04-09 A. Taufiq Asyhari , Tobias Koch , Albert Guillén i Fàbregas

This paper studies a robust design problem for far-field line-of-sight (LOS) channels where phase errors are present. Compared with the commonly used additive error model, the phase error model is more suitable for capturing the uncertainty…

Information Theory · Computer Science 2016-06-29 Man-Chung Yue , Sissi Xiaoxiao Wu , Anthony Man-Cho So

In this paper, we consider multistopping problems for finite discrete time sequences $X_1,...,X_n$. $m$-stops are allowed and the aim is to maximize the expected value of the best of these $m$ stops. The random variables are neither assumed…

Probability · Mathematics 2012-01-04 Andreas Faller , Ludger Rüschendorf

It has been well known that the achievable rate of multiuser multiple-input multiple-output systems with limited feedback is severely degraded by quantization errors when the number of feedback bits is not sufficient. To overcome such a…

Information Theory · Computer Science 2024-07-09 Wentao Zhou , Di Zhang , Merouane Debbah , Inkyu Lee

To reap the promising benefits of massive multiple-input multiple-output (MIMO) systems, accurate channel state information (CSI) is required through channel estimation. However, due to the complicated wireless propagation environment and…

Signal Processing · Electrical Eng. & Systems 2024-11-04 Binggui Zhou , Xi Yang , Shaodan Ma , Feifei Gao , Guanghua Yang

The recent proposed affine frequency division multiplexing (AFDM) employing a multi-chirp waveform has shown its reliability and robustness in doubly selective fading channels. In the existing embedded pilot-aided channel estimation…

Signal Processing · Electrical Eng. & Systems 2024-04-17 Kai Zheng , Miaowen Wen , Tianqi Mao , Lixia Xiao , Zhaocheng Wang

Compressive approaches provide a means of effective channel high resolution channel estimates in millimeter wave MIMO systems, despite the use of analog and hybrid architectures. Such estimates can also be used as part of a joint channel…

Signal Processing · Electrical Eng. & Systems 2022-04-08 Joan Palacios , Nuria González-Prelcic , Cristian Rusu

We propose a generalized feedback model and compressive sensing based opportunistic feedback schemes for feedback resource reduction in MIMO Broadcast Channels under the assumption that both uplink and downlink channels undergo block…

Information Theory · Computer Science 2015-02-17 Syed Qaseem , Tareq Al-Naffouri , Mohammed Eltayeb , Hamid Reza Bahrami

This paper presents a new approach to intra-cell pilot contamination in crowded massive MIMO scenarios. The approach relies on two essential properties of a massive MIMO system, namely near-orthogonality between user channels and…

Information Theory · Computer Science 2015-05-22 Jesper H. Sørensen , Elisabeth de Carvalho , Petar Popovski

Millimeter wave (mmWave) multi-user massive multi-input multi-output (MIMO) is a promising technique for the next generation communication systems. However, the hardware cost and power consumption grow significantly as the number of radio…

Signal Processing · Electrical Eng. & Systems 2021-06-09 Liangyuan Xu , Feifei Gao , Ting Zhou , Shaodan Ma , Wei Zhang

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

This paper investigates the linear precoder design that maximizes the average mutual information of multiple-input multiple-output channels with finite-alphabet inputs and statistical channel state information known at the transmitter. This…

Information Theory · Computer Science 2011-09-07 Weiliang Zeng , Chengshan Xiao , Mingxi Wang , Jianhua Lu

In this paper, we propose a fully-integrated radar and communication system -- named ComSens. We utilize two different pilot sequences (one for uplink and one for downlink) with the condition that they must be uncorrelated to each other.…

Information Theory · Computer Science 2017-09-22 Mohammadreza Mousaei , Mojtaba Soltanalian , Besma Smida