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In large scale dynamic wireless networks, the amount of overhead caused by channel estimation (CE) is becoming one of the main performance bottlenecks. This is due to the large number users whose channels should be estimated, the user…

Information Theory · Computer Science 2022-04-19 Mohanad Obeed , Yasser Al-Eryani , Anas Chaaban

A novel time-efficient framework is proposed for improving the robustness of a broadband multiple-input multiple-output (MIMO) system against unknown interference under rapidly-varying channels. A mean-squared error (MSE) minimization…

Signal Processing · Electrical Eng. & Systems 2025-03-04 Jingjing Zhao , Jing Su , Kaiquan Cai , Yanbo Zhu , Yuanwei Liu , Naofal Al-Dhahir

In multi-cell massive MIMO systems, channel estimation is deteriorated by pilot contamination and the effects of pilot contamination become more severe due to hardware impairments. In this paper, we propose a joint pilot design and channel…

Signal Processing · Electrical Eng. & Systems 2021-08-11 Byungju Lim , Won Joon Yun , Joongheon Kim , Young-Chai Ko

This paper proposes novel pilot optimization and channel estimation algorithm for the downlink multiuser massive multiple input multiple output (MIMO) system with $K$ decentralized single antenna mobile stations (MSs), and time division…

Applications · Statistics 2014-02-07 Tadilo Endeshaw Bogale , Long Bao Le

In this paper, the downlink of a multi-cell massive MIMO system is considered where the channel state information (CSI) is estimated via pilot symbols that are orthogonal in a cell but re-used in other cells. Re-using the pilots, however,…

Information Theory · Computer Science 2021-12-21 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran , Hideki Ochiai

We consider the downlink of a multi-cell massive MIMO system suffering from asymptotic rate saturation due to pilot contamination. As opposed to treating pilot contamination interference as noise (TIN), we study the performance of decoding…

Information Theory · Computer Science 2022-08-09 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran , Hideki Ochiai

Next generation wireless networks aim at providing substantial improvements in spectral efficiency (SE) and energy efficiency (EE). Massive MIMO has been proved to be a viable technology to achieve these goals by spatially multiplexing…

Signal Processing · Electrical Eng. & Systems 2017-09-25 Daniel Verenzuela , Emil Björnson , Luca Sanguinetti

Massive MIMO is a promising technique for future 5G communications due to its high spectrum and energy efficiency. To realize its potential performance gain, accurate channel estimation is essential. However, due to massive number of…

Information Theory · Computer Science 2016-11-17 Zhen Gao , Linglong Dai , Wei Dai , Byonghyo Shim , Zhaocheng Wang

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

A wireless massive MIMO system entails a large number (tens or hundreds) of base station antennas serving a much smaller number of users, with large gains in spectral-efficiency and energy-efficiency compared with conventional MIMO…

Information Theory · Computer Science 2014-11-18 Alexei Ashikhmin , Thomas L. Marzetta , Liangbin Li

Large-scale multiple-input multiple-output (MIMO) with high spectrum and energy efficiency is a very promising key technology for future 5G wireless communications. For large-scale MIMO systems, accurate channel state information (CSI)…

Information Theory · Computer Science 2015-11-30 Zhen Gao , Linglong Dai , Zhaocheng Wang

This work concerns wireless cellular networks applying massive multiple-input multiple-output (MIMO) technology. In such a system, the base station in a given cell is equipped with a very large number (hundreds or even thousands) of…

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

Pilot contamination is a limiting factor in multicell massive multiple-input multiple-output (MIMO) systems because it can severely impair channel estimation. Prior works have suggested coordinating pilot design across cells in order to…

Information Theory · Computer Science 2020-08-13 Kaiming Shen , Hei Victor Cheng , Xihan Chen , Yonina C. Eldar , Wei Yu

Cognitive radios have been proposed as agile technologies to boost the spectrum utilization. This paper tackles the problem of channel estimation and its impact on downlink transmissions in an underlay cognitive radio scenario. We consider…

Information Theory · Computer Science 2015-05-11 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

In this paper, we propose a channel acquisition approach with time-frequency phase-shifted pilots (TFPSPs) for massive multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. We first present a triple-beam…

Information Theory · Computer Science 2025-06-23 Jinke Tang , Xiqi Gao , Li You , Ding Shi , Jiyuan Yang , Xiang-Gen Xia , Xinwei Zhao , Peigang Jiang

In this paper, we propose the joint interference cancellation, fast fading channel estimation, and data symbol detection for a general interference setting where the interfering source and the interfered receiver are unsynchronized and…

Signal Processing · Electrical Eng. & Systems 2020-05-12 Minh Tri Nguyen , Long Bao Le

Massive multiple-input multiple-output - orthogonal frequency division multiplexing (MIMO-OFDM) systems face the challenge of high channel acquisition overhead while providing significant spectral efficiency (SE). Adjustable phase shift…

Signal Processing · Electrical Eng. & Systems 2026-02-12 Yu Zhao , Li You , Jinke Tang , Mengyu Qian , Bin Jiang , Xiang-Gen Xia , Xiqi Gao

Pilot contamination, defined as the interference during the channel estimation process due to reusing the same pilot sequences in neighboring cells, can severely degrade the performance of massive multiple-input multiple-output systems. In…

Information Theory · Computer Science 2018-06-05 L. Srikar Muppirisetty , Themistoklis Charalambous , Johnny Karout , Gabor Fodor , Henk Wymeersch

A subspace method for channel estimation has been recently proposed [1] for tackling the pilot contamination effect, which is regarded by some researchers as a bottleneck in massive MIMO systems. It was shown in [1] that if the power ratio…

Information Theory · Computer Science 2015-10-15 Mohammed Teeti , Jun Sun , David Gesbert , Yingzhuang Liu

Sharing global channel information at base stations (BSs) is commonly assumed for downlink multi-cell precoding. In the context of massive multi-input multi-output (MIMO) systems where each BS is equipped with a large number of antennas,…

Information Theory · Computer Science 2014-11-18 Liangbin Li , Alexei Ashikhmin , Thomas Marzetta