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相关论文: Pilot Decontamination via PDP Alignment

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Pilot contamination in the uplink (UL) can severely degrade the channel estimation quality at the base station (BS) in a massive multi-input multi-output (MIMO) system. Thus, it is critical to explore all possible avenues to enable more…

信息论 · 计算机科学 2016-09-21 Xiliang Luo , Xiaoyu Zhang

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…

信息论 · 计算机科学 2015-05-22 Jesper H. Sørensen , Elisabeth de Carvalho

This letter studies the pilot contamination (PC) problem for massive multiple-input multiple-output (MIMO) networks with coexisting terrestrial users and unmanned aerial vehicles (UAVs). Due to the strong line-of-sight (LoS) air-to-ground…

信息论 · 计算机科学 2020-06-11 Rui Lu , Qingqing Wu , Rui Zhang

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…

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…

信息论 · 计算机科学 2021-06-28 Qazwan Abdullah , Norsaliza Abdullah , Adeb Salh , Lukman Audah , Nabil Farah , Abbas Ugurenver , Abdu Saif

Massive MIMO is expected to play an important role in the development of 5G networks. This paper addresses the issue of pilot contamination and scalability in massive MIMO systems. The current practice of reusing orthogonal pilot sequences…

信息论 · 计算机科学 2024-09-12 Muhammad Kamran Saeed , Ahmed E. Kamal , Ashfaq Khokhar

Cell-free massive MIMO systems are currently being considered as potential enablers of future (6G) technologies for wireless communications. By combining distributed processing and massive MIMO, they are expected to deliver improved user…

信息论 · 计算机科学 2025-09-24 Raphael M. Guedes , José F. de Rezende , Valmir C. Barbosa

This letter shows that optimizing the transmit powers along with optimally designed nonorthogonal pilots can significantly reduce pilot contamination and improve the overall throughput of the uplink multi-cell massive multiple-input…

信息论 · 计算机科学 2019-12-24 Xihan Chen , Kaiming Shen , Hei Victor Cheng , An Liu , Wei Yu , Min-Jian Zhao

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…

信息论 · 计算机科学 2017-07-03 Saeid Haghighatshoar , Giuseppe Caire

Pilot contamination problem in massive MIMO networks operating in time-division duplex (TDD) mode can limit their expected capacity to a great extent. This paper addresses this problem in cosine modulated multitone (CMT) based massive MIMO…

This letter focuses on the pilot contamination problem in the uplink and downlink of cell-free massive multiple-input multiple-output networks with different degrees of cooperation between access points. The optimum minimum mean square…

信息论 · 计算机科学 2021-10-06 Alberto Alvarez Polegre , Luca Sanguinetti , Ana Garcia Armada

Massive MIMO systems, where the base stations are equipped with hundreds of antenna elements, are an attractive way to attain unprecedented spectral efficiency in future wireless networks. In the "classical" massive MIMO setting, the…

信息论 · 计算机科学 2016-06-08 Elisabeth de Carvalho , Emil Bjornson , Erik G. Larsson , Petar Popovski

Massive MIMO OFDM waveforms help support a large number of users in the same time-frequency resource and also provide significant array gain for uplink reception in cellular systems. However, channel estimation in such large antenna systems…

信息论 · 计算机科学 2024-06-04 P Aswathylakshmi , Radha Krishna Ganti

Cellular networks of massive MIMO base-stations employing TDD/OFDM and relying on uplink training for both downlink and uplink transmission are viewed as an attractive candidate for 5G deployments, as they promise high area spectral and…

信息论 · 计算机科学 2018-11-07 Zekun Zhang , Chenwei Wang , Haralabos Papadopoulos

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…

信息论 · 计算机科学 2018-01-23 Trinh Van Chien , Emil Björnson , Erik G. Larsson

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…

信号处理 · 电气工程与系统科学 2017-09-25 Daniel Verenzuela , Emil Björnson , Luca Sanguinetti

The pilot contamination in cell-free massive multiple-input-multiple-output (CF-mMIMO) must be addressed for accommodating a large number of users. In previous works, we have investigated a decontamination method called subspace projection…

The fundamental limitation of massive MIMO technology is pilot contamination effect. This effect occurs during uplink training when terminals use the same orthogonal signals. In this paper, a pilot reuse factor with large scale fading…

信息论 · 计算机科学 2017-02-09 Tedros Salih , Elijah Mwangi , Kibet Langat

This paper presents a new approach to intra-cell pilot contamination in crowded massive MIMO scenarios. The approach relies on two essential properties of a massive MIMO system, namely near-orthogonality between user channels and…

信息论 · 计算机科学 2015-05-22 Jesper H. Sørensen , Elisabeth de Carvalho , Petar Popovski

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…

信息论 · 计算机科学 2025-11-21 Christian Forsch , Zilu Zhao , Dirk Slock , Laura Cottatellucci
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