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Massive Multiple-Input Multiple-Output (MIMO) is foreseen to be one of the main technology components in next generation cellular communications (5G). In this paper, fundamental limits on the performance of downlink massive MIMO systems are…

Information Theory · Computer Science 2015-01-20 Fredrik Athley , Giuseppe Durisi , Ulf Gustavsson

MIMO communication may provide high spectral efficiency through the deployment of a very large number of antenna elements at the base stations. The gains from massive MIMO communication come from the use of multi-user MIMO on the uplink and…

Information Theory · Computer Science 2013-07-16 Kien T. Truong , Robert W. Heath

Although the combination of the orthogonal time frequency space (OTFS) modulation and the massive multiple-input multiple-output (MIMO) technology can make communication systems perform better in high-mobility scenarios, there are still…

Information Theory · Computer Science 2021-05-21 Ding Shi , Wenjin Wang , Li You , Xiaohang Song , Yi Hong , Xiqi Gao , Gerhard Fettweis

Terahertz (THz) communication is widely considered as a key enabler for future 6G wireless systems. However, THz links are subject to high propagation losses and inter-symbol interference due to the frequency selectivity of the channel.…

Information Theory · Computer Science 2021-02-16 Konstantinos Dovelos , Michail Matthaiou , Hien Quoc Ngo , Boris Bellalta

This paper investigates the combined benefits of full-duplex (FD) and cell-free massive multiple-input multipleoutput (CF-mMIMO), where a large number of distributed access points (APs) having FD capability simultaneously serve numerous…

Signal Processing · Electrical Eng. & Systems 2020-07-10 Hieu V. Nguyen , Van-Dinh Nguyen , Octavia A. Dobre , Shree Krishna Sharma , Symeon Chatzinotas , Björn Ottersten , Oh-Soon Shin

Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical performance gains in massive MIMO systems, accurate channel state…

Information Theory · Computer Science 2017-01-30 Wenqian Shen , Linglong Dai , Yi Shi , Byonghyo Shim , Zhaocheng Wang

This paper investigates the uplink cascaded channel estimation for intelligent-reflecting-surface (IRS)-assisted multi-user multiple-input-single-output systems. We focus on a sub-6 GHz scenario where the channel propagation is not sparse…

Signal Processing · Electrical Eng. & Systems 2022-09-07 Huayan Guo , Vincent K. N. Lau

Transmitter channel state information (CSIT) is indispensable for the spectral efficiency gains offered by massive multiple-input multiple-output (MIMO) systems. In a frequency-division-duplexing (FDD) massive MIMO system, CSIT is typically…

Information Theory · Computer Science 2023-02-10 Deokhwan Han , Jeonghun Park , Namyoon Lee

We provide the first-ever performance evaluation of orthogonal time frequency space (OTFS) modulation in cell-free massive multiple-input multiple-output (MIMO) systems. To investigate trade-off between performance and overhead, we apply…

Information Theory · Computer Science 2022-09-28 Mohammadali Mohammadi , Hien Quoc Ngo , Michail Matthaiou

To achieve the more promising passive beamforming gains in the double-intelligent reflecting surface (IRS) assisted system over the conventional single-IRS system, channel estimation is practically indispensable but also a more challenging…

Information Theory · Computer Science 2020-10-14 Beixiong Zheng , Changsheng You , Rui Zhang

Thanks to its capability to provide a uniform service rate for the User Equipments (UEs), Cell-free (CF) massive Multiple-Input, Multiple-Output (mMIMO), has recently attracted considerable attention, both in academia and in industry, and…

Information Theory · Computer Science 2022-03-24 Salman Mohebi , Andrea Zanella , Michele Zorzi

This letter proposes decision-directed semi-blind channel estimation for massive multiple-input multiple-output low-Earth-orbit satellite communications. Two semi-blind estimators are proposed. The first utilizes detected data symbols in…

Signal Processing · Electrical Eng. & Systems 2024-11-22 Abdollah Masoud Darya , Saeed Abdallah

In this paper, we propose a novel two-stage based uplink channel estimation strategy with reduced pilot overhead and error propagation for a reconfigurable intelligent surface (RIS)-aided multi-user (MU) millimeter wave (mmWave) system.…

Signal Processing · Electrical Eng. & Systems 2022-08-24 Zhendong Peng , Cunhua Pan , Gui Zhou , Hong Ren

In massive multiple-input multiple-output (MIMO) systems with time shifted pilot (TSP) schemes, the inter-group interference caused by the pilot contamination can be eliminated when the number of base station (BS) antennas M approaches…

Signal Processing · Electrical Eng. & Systems 2020-06-29 Bule Sun , Yiqing Zhou , Jinhong Yuan , Jinglin Shi

In this work, we address the problem of channel estimation and precoding / combining for the so-called hybrid millimeter wave (mmWave) MIMO architecture. Our proposed channel estimation scheme exploits channel reciprocity in TDD MIMO…

Information Theory · Computer Science 2016-11-15 Hadi Ghauch , Mats Bengtsson , Taejoon Kim , Mikael Skoglund

This paper investigates the design of channel estimation and 3D localization algorithms in a challenging scenario, where a sub-connected planar extremely large-scale multiple-input multiple-output (XL-MIMO) communicates with multi-antenna…

Signal Processing · Electrical Eng. & Systems 2025-10-24 Kangda Zhi , Tianyu Yang , Songyan Xue , Giuseppe Caire

In frequency-division duplexing (FDD) multiple-input multiple-output (MIMO) systems, obtaining accurate downlink channel state information (CSI) for precoding is vastly challenging due to the tremendous feedback overhead with the growing…

Signal Processing · Electrical Eng. & Systems 2024-05-15 Jungyeon Kim , Jinseok Choi , Jeonghun Park , Ahmed Alkhateeb , Namyoon Lee

We consider the uplink of a cellular massive MIMO network. Since the spectral efficiency of these networks is limited by pilot contamination, the pilot allocation across cells is of paramount importance. However, finding efficient pilot…

Information Theory · Computer Science 2015-07-15 Rami Mochaourab , Emil Björnson , Mats Bengtsson

This paper considers the transceiver design for uplink massive multiple-input multiple-output (MIMO) systems with channel sparsity in the angular domain. Recent progress has shown that sparsity-learning-based blind signal detection is able…

Information Theory · Computer Science 2019-06-05 Wenjing Yan , Xiaojun Yuan

In this letter, we study the performance of a downlink multiuser massive multiple-input multiple-output (MIMO) system with sub-connected structure over limited feedback channels. Tight rate approximations are theoretically analyzed for the…

Information Theory · Computer Science 2020-06-03 Yaqiong Zhao , Wei Xu , Jindan Xu , Shi Jin , Kezhi Wang , Mohamed-Slim Alouini
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