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Related papers: Pilot Optimization and Channel Estimation for Mult…

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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

Massive MIMO communication systems, by virtue of utilizing very large number of antennas, have a potential to yield higher spectral and energy efficiency in comparison with the conventional MIMO systems. In this paper, we consider uplink…

Information Theory · Computer Science 2015-07-30 Alam Zaib , Mudassir Masood , Anum Ali , Weiyu Xu , Tareq Y. Al-Naffouri

Massive MIMO uses a large number of antennas to increase the spectral efficiency (SE) through spatial multiplexing of users, which requires accurate channel state information. It is often assumed that regular pilots (RP), where a fraction…

Information Theory · Computer Science 2021-05-03 Daniel Verenzuela , Emil Björnson , Xiaojie Wang , Maximilian Arnold , Stephan ten Brink

We consider a massive MIMO system based on Time Division Duplexing (TDD) and channel reciprocity, where the base stations (BSs) learn the channel vectors of their users via the pilots transmitted by the users in the uplink (UL). It is…

Information Theory · Computer Science 2017-07-03 Saeid Haghighatshoar , Giuseppe Caire

In this paper, we investigate the downlink throughput performance of a massive multiple-input multiple-output (MIMO) system that employs superimposed pilots for channel estimation. The component of downlink (DL) interference that results…

Information Theory · Computer Science 2019-04-16 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera

In this letter, we introduce a novel pilot design approach that minimizes the total mean square errors of the minimum mean square error estimators of all base stations (BSs) subject to the transmit power constraints of individual users in…

Information Theory · Computer Science 2018-03-06 Hayder Al-Salihi , Trinh Van Chien , Tuan Anh Le , Mohammad Reza Nakhai

In this paper, the problem of pilot beam pattern design for channel estimation in massive multiple-input multiple-output systems with a large number of transmit antennas at the base station is considered, and a new algorithm for pilot beam…

Information Theory · Computer Science 2015-06-17 Song Noh , Michael D. Zoltowski , Youngchul Sung , David J. Love

In this paper, we investigate the system performance of a multi-cell multi-user (MU) hybrid millimeter wave (mmWave) multiple-input multiple-output (MIMO) network adopting the channel estimation algorithm proposed in [1] for channel…

Signal Processing · Electrical Eng. & Systems 2018-01-30 Lou Zhao , Zhiqiang Wei , Derrick Wing Kwan Ng , Jinhong Yuan , Mark C. Reed

In this paper, we propose a joint pilot design and channel estimation scheme based on the deep learning (DL) technique for multiuser multiple-input multiple output (MIMO) channels. To this end, we construct a pilot designer using two-layer…

Information Theory · Computer Science 2018-12-12 Chang-Jae Chun , Jae-Mo Kang , Il-Min Kim

This paper proposes a joint optimization of pilot subcarrier allocation and non-orthogonal sequence for multiple-input-multiple-output (MIMO)-orthogonal frequency-division multiplexing (OFDM) systems under compressed sensing (CS)-based…

Signal Processing · Electrical Eng. & Systems 2025-09-23 Kabuto Arai , Koji Ishibashi , Hiroki Iimori , Yuto Hama , Paulo Valente Klaine , Szabolcs Malomsoky

In this paper, the pilot signal design for massive MIMO systems to maximize the training-based received signal-to-noise ratio (SNR) is considered under two channel models: block Gauss-Markov and block independent and identically distributed…

Information Theory · Computer Science 2015-06-22 Jungho So , Donggun Kim , Yuni Lee , Youngchul Sung

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 addresses the intricate task of hybrid-field channel estimation in extremely large-scale MIMO (XL-MIMO) systems, critical for the progression of 6G communications. Within these systems, comprising a line-of-sight (LoS) channel…

Information Theory · Computer Science 2024-03-29 Yoonseong Kang , Hyowoon Seo , Wan Choi

The doubly selective (DS) channel estimation in the large-scale multiple-input multiple-output (MIMO) systems is a challenging problem due to the large number of the channel coefficients to be estimated, which requires unaffordable and…

Signal Processing · Electrical Eng. & Systems 2020-04-22 Bo Gong , Lin Gui , Qibo Qin , Xiang Ren , Wen Chen

This letter proposes a deep learning based pilot design scheme to minimize the sum mean square error (MSE) of channel estimation for multi-user distributed massive multiple-input multiple-output (MIMO) systems. The pilot signal of each user…

Signal Processing · Electrical Eng. & Systems 2019-03-19 Jun Xu , Pengcheng Zhu , Jiamin Li , Xiaohu You

Pilot contamination remains a major bottleneck in realizing the full potential of distributed massive MIMO systems. We propose two dynamic and scalable pilot assignment schemes designed for practical deployment in such networks. First, we…

Networking and Internet Architecture · Computer Science 2025-10-27 Mohd Saif Ali Khan , Karthik RM , Samar Agnihotri

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

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 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

With the large number of antennas and subcarriers the overhead due to pilot transmission for channel estimation can be prohibitive in wideband massive multiple-input multiple-output (MIMO) systems. This can degrade the overall spectral…

Information Theory · Computer Science 2021-04-14 Mahdi Boloursaz Mashhadi , Deniz Gunduz
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