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The focus of this letter is on the reduction of the large pilot overhead in orthogonal frequency division multiplexing (OFDM) based massive multiple-input multiple-output (MIMO) systems. We propose a novel joint channel estimation and…

Information Theory · Computer Science 2022-12-16 Danilo Lelin Li , Arman Farhang

Massive multiple-input multiple-output (massive MIMO) can provide large spectral and energy efficiency gains. Nevertheless, its potential is conditioned on acquiring accurate channel state information (CSI). In time division duplexing (TDD)…

Information Theory · Computer Science 2018-05-01 Salah Eddine Hajri , Mohamad Assaad

This paper considers pilot design to mitigate pilot contamination and provide good service for everyone in multi-cell Massive multiple input multiple output (MIMO) systems. Instead of modeling the pilot design as a combinatorial assignment…

Information Theory · Computer Science 2018-01-23 Trinh Van Chien , Emil Björnson , Erik G. Larsson

In this paper, we propose a coordinated pilot design method to minimize the channel estimation mean squared error (MSE) in 1-bit analog-to-digital converters (ADCs) massive multiple-input multiple-output (MIMO). Under the assumption that…

Signal Processing · Electrical Eng. & Systems 2025-11-14 Hyeongtak Yun , Juntaek Han , Kaiming Shen , Jeonghun Park

Massive multiple-input multiple-output is a very important technology for future fifth-generation systems. However, massive massive multiple input multiple output systems are still limited because of pilot contamination, impacting the data…

Information Theory · Computer Science 2021-06-28 Qazwan Abdullah , Norsaliza Abdullah , Adeb Salh , Lukman Audah , Nabil Farah , Abbas Ugurenver , Abdu Saif

In this paper, we investigate the system performance of a multi-cell multi-user (MU) hybrid millimeter wave (mmWave) communications in a multiple-input multiple-output (MIMO) network. Due to the reuse of pilot symbols among different cells,…

Information Theory · Computer Science 2018-06-08 Lou Zhao , Zhiqiang Wei , Derrick Wing Kwan Ng , Jinhong Yuan , Mark C. Reed

We propose a strategy for orthogonal downlink pilot assignment in cell-free massive MIMO (multiple-input multiple-output) that exploits knowledge of the channel state information, the channel hardening degree at each user, and the mobility…

Information Theory · Computer Science 2019-09-04 Giovanni Interdonato , Pål Frenger , Erik G. Larsson

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

The increasing number of users leads to an increase in pilot overhead, and the limited pilot resources make it challenging to support all users using orthogonal pilots. By fully capturing the inherent physical characteristics of the…

Signal Processing · Electrical Eng. & Systems 2025-01-07 Kaiyuan Tian , Yani Chi , Yufan Zhou , An Liu

This paper considers the problem of pilot design for compressive multiple-input multiple-output (MIMO) channel estimation. In particular, we are interested in estimating the channels for multiple transmitters simultaneously when the pilot…

Information Theory · Computer Science 2013-11-05 Peng Zhang , Lu Gan , Sumei Sun , Cong Ling

Pilot contamination (PC) arises when the pilot sequences assigned to user equipments (UEs) are not mutually orthogonal, eventually due to their reuse. In this work, we propose a novel expectation propagation (EP)-based joint channel…

Information Theory · Computer Science 2025-11-21 Christian Forsch , Zilu Zhao , Dirk Slock , Laura Cottatellucci

The performance of centralized and distributed massive MIMO deployments are analyzed for indoor office scenarios. The distributed deployments use one of the following precoding methods: (1) local precoding with local channel state…

Information Theory · Computer Science 2018-01-11 Stefan Dierks , Gerhard Kramer , Berthold Panzner , Wolfgang Zirwas

Massive MIMO is a promising technique to increase the spectral efficiency (SE) of cellular networks, by deploying antenna arrays with hundreds or thousands of active elements at the base stations and performing coherent transceiver…

Information Theory · Computer Science 2015-10-21 Emil Björnson , Erik G. Larsson , Mérouane Debbah

Channel estimation is essential to massive multiple-input multiple-output (MIMO) systems. While recent generative model-based approaches using lightweight diffusion models (DMs) have achieved superior performance, they typically rely on a…

Signal Processing · Electrical Eng. & Systems 2026-05-19 Zhuorui Jiang , Jun Fang , Boyu Ning , Hongbin Li , Ying-Chang Liang

This paper considers pilot-based channel estimation in large-scale multiple-input multiple-output (MIMO) communication systems, also known as massive MIMO, where there are hundreds of antennas at one side of the link. Motivated by the fact…

Information Theory · Computer Science 2015-06-18 Nafiseh Shariati , Emil Björnson , Mats Bengtsson , Mérouane Debbah

In the uplink of multiuser multiple input multiple output (MU-MIMO) systems operating over aging channels, pilot spacing is crucial for acquiring channel state information and achieving high signal-to-interference-plus-noise ratio (SINR).…

Signal Processing · Electrical Eng. & Systems 2022-04-04 Sebastian Fodor , Gábor Fodor , Doğa Gürgünoğlu , Miklós Telek

In this paper, adaptive pilot beam sequence design for channel estimation in large millimeter-wave (mmWave) MIMO systems is considered. By exploiting the sparsity of mmWave MIMO channels with the virtual channel representation and imposing…

Information Theory · Computer Science 2016-11-15 Junyeong Seo , Youngchul Sung , Gilwon Lee , Donggun Kim

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

In this work, we consider a 1-bit quantized massive MIMO channel with superimposed pilot (SP) scheme, dubbed QSP. With linear minimum mean square error (LMMSE) channel estimator and maximum ratio combining (MRC) receiver at the BS, we…

Information Theory · Computer Science 2018-06-25 M. A. Teeti , Rui Wang , Reza Abdolee

Radar sensing will be integrated into the 6G communication system to support various applications. In this integrated sensing and communication system, a radar target may also be a communication channel scatterer. In this case, the radar…

Information Theory · Computer Science 2022-02-08 Zhe Huang , Kexuan Wang , An Liu , Yunlong Cai , Rui Du , Tony Xiao Han
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