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Reconfigurable intelligent surfaces (RISs) have emerged as a promising technology to enhance the performance of sixth-generation (6G) and beyond communication systems. The passive nature of RISs and their large number of reflecting elements…

Information Theory · Computer Science 2024-06-12 Nipuni Ginige , Arthur Sousa de Sena , Nurul Huda Mahmood , Nandana Rajatheva , Matti Latva-aho

As intelligent reflecting surface (IRS) has emerged as a new and promising technology capable of configuring the wireless environment favorably, channel estimation for IRS-assisted multiple-input multiple-output (MIMO) systems has garnered…

Information Theory · Computer Science 2025-12-22 Zhen Qin , Zhihui Zhu

The performance of millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems is limited by the sparse nature of propagation channels and the restricted number of radio frequency (RF) chains at transceivers. The introduction of…

Information Theory · Computer Science 2018-08-23 Biao He , Hamid Jafarkhani

Millimeter-wave (mmWave) communication in combination with massive multiuser multiple-input multiple-output (MU-MIMO) enables high-bandwidth data transmission to multiple users in the same time-frequency resource. The strong path loss of…

Information Theory · Computer Science 2020-09-08 Seyed Hadi Mirfarshbafan , Alexandra Gallyas-Sanhueza , Ramina Ghods , Christoph Studer

This paper develops a novel channel estimation approach for multi-user millimeter wave (mmWave) wireless systems with large antenna arrays. By exploiting the inherent mmWave channel sparsity, we propose a novel simultaneous-estimation with…

Information Theory · Computer Science 2017-03-03 Matthew Kokshoorn , He Chen , Yonghui Li , Branka Vucetic

Channel estimation is very challenging when the receiver is equipped with a limited number of radio-frequency (RF) chains in beamspace millimeter-wave (mmWave) massive multiple-input and multiple-output systems. To solve this problem, we…

Information Theory · Computer Science 2019-01-15 Hengtao He , Chao-Kai Wen , Shi Jin , Geoffrey Ye Li

Channel and frequency offset estimation is a classic topic with a large body of prior work using mainly maximum likelihood (ML) approach together with Cram\'er-Rao Lower bounds (CRLB) analysis. We provide the maximum a posteriori (MAP)…

Signal Processing · Electrical Eng. & Systems 2019-05-13 Mingda Zhou , Zhe Feng , Xinming Huang , Youjian , Liu

We consider the problem of channel estimation for millimeter wave (mmWave) systems, where, to minimize the hardware complexity and power consumption, an analog transmit beamforming and receive combining structure with only one radio…

Information Theory · Computer Science 2017-05-09 Xingjian Li , Jun Fang , Hongbin Li , Pu Wang

Movable antenna (MA) is an emerging technology that can significantly improve communication performance via the continuous adjustment of the antenna positions. To unleash the potential of MAs in wideband communication systems, acquiring…

Signal Processing · Electrical Eng. & Systems 2024-10-01 Zhenyu Xiao , Songqi Cao , Lipeng Zhu , Boyu Ning , Xiang-Gen Xia , Rui Zhang

Due to their ability to create favorable line-of-sight (LoS) propagation environments, intelligent reflecting surfaces (IRSs) are regarded as promising enablers for future millimeter-wave (mm-wave) wireless communication. In this paper, we…

Information Theory · Computer Science 2021-07-27 Tian Lin , Xianghao Yu , Yu Zhu , Robert Schober

We investigate a general channel estimation problem in the massive multiple-input multiple-output (MIMO) system which employs the hybrid analog/digital precoding structure with limited radio-frequency (RF) chains. By properly designing RF…

Information Theory · Computer Science 2017-12-27 Leyuan Pan , Le Liang , Wei Xu , Xiaodai Dong

The trade-off between reliability, latency, and energy efficiency is a central problem in communication systems. Advanced hybrid automated repeat request (HARQ) techniques reduce retransmissions required for reliable communication but incur…

In this paper, optimal linear transceiver designs for multi-hop amplify-and-forward (AF) Multiple-input Multiple-out (MIMO) relaying systems with Gaussian distributed channel estimation errors are investigated. Some commonly used…

Information Theory · Computer Science 2011-09-26 Chengwen Xing , Zesong Fei , Shaodan Ma , Jingming Kuang , Yik-Chung Wu

Unmanned aerial vehicles (UAVs) have attracted significant interest from the academia and industry most recently. Motivated by the wide usage of UAVs, this paper considers UAV communication with reconfigurable antenna (RA) in the presence…

Signal Processing · Electrical Eng. & Systems 2022-06-10 Ayse Betul Buyuksar , Eylem Erdogan , Ibrahim Altunbas

Massive MIMO is one of the main features of 5G mobile radio systems. However, it often leads to high cost, size and power consumption. To overcome these issues, the use of constrained radio frequency (RF) frontends has been proposed, as…

Signal Processing · Electrical Eng. & Systems 2021-11-16 Brenda Vilas Boas , Wolfgang Zirwas , Martin Haardt

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

In this paper, linear transceiver design for multi-hop amplify-and-forward (AF) multiple-input multiple-out (MIMO) relaying systems with Gaussian distributed channel estimation errors is investigated. Commonly used transceiver design…

Information Theory · Computer Science 2016-11-18 Chengwen Xing , Shaodan Ma , Zesong Fei , Yik-Chung Wu , H. Vincent Poor

The problem of MIMO channel estimation at millimeter wave frequencies, both in a single-user and in a multi-user setting, is tackled in this paper. Using a subspace approach, we develop a protocol enabling the estimation of the right (resp.…

Information Theory · Computer Science 2019-06-24 Stefano Buzzi , Carmen D'Andrea

Information on the future state of time varying frequency selective channels can significantly enhance the effectiveness of feedback in adaptive and limited feedback MIMO-OFDM systems. This paper investigates the parametric extrapolation of…

Information Theory · Computer Science 2014-08-05 Ramoni Adeogun , Paul Teal , Pawel Dmochowski

The highly sparse nature of propagation channels and the restricted use of radio frequency (RF) chains at transceivers limit the performance of millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. Introducing…

Information Theory · Computer Science 2018-06-04 Biao He , Hamid Jafarkhani
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