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In time division duplexing (TDD) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) can be obtained from uplink channel estimation thanks to channel reciprocity. However,…

Signal Processing · Electrical Eng. & Systems 2025-01-13 Binggui Zhou , Xi Yang , Shaodan Ma , Feifei Gao , Guanghua Yang

This paper proposes a spatially common sparsity based adaptive channel estimation and feedback scheme for frequency division duplex based massive multi-input multi-output (MIMO) systems, which adapts training overhead and pilot design to…

Information Theory · Computer Science 2023-10-20 Zhen Gao , Linglong Dai , Zhaocheng Wang , Sheng Chen

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

Pilot contamination is a critical issue in distributed massive MIMO networks, where the reuse of pilot sequences due to limited availability of orthogonal pilots for channel estimation leads to performance degradation. In this work, we…

Networking and Internet Architecture · Computer Science 2024-07-02 Mohd Saif Ali Khan , Samar Agnihotri , Karthik R. M

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

Efficient channel state information at transmitter (CSIT) for frequency division duplex (FDD) massive MIMO can facilitate its backward compatibility with existing FDD cellular networks. To date, several CSIT estimation schemes have been…

Information Theory · Computer Science 2021-08-24 Yikun Mei , Zhen Gao

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

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…

Information Theory · Computer Science 2016-09-21 Xiliang Luo , Xiaoyu Zhang

We consider a multi-cell massive MIMO system where a time-division duplex protocol is used to estimate the channel state information via uplink pilots. When maximum ratio combining (MRC) is used at the BSs, the re-use of pilots across cells…

Information Theory · Computer Science 2019-11-26 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran

We consider a cell-free wireless system operated in Time Division Duplex (TDD) mode with user-centric clusters of remote radio units (RUs). Since the uplink pilot dimensions per channel coherence slot is limited, co-pilot users might incur…

Information Theory · Computer Science 2022-11-18 Fabian Göttsch , Noboru Osawa , Takeo Ohseki , Kosuke Yamazaki , Giuseppe Caire

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

A massive multiple-input multiple-output (MIMO) system, which utilizes a large number of antennas at the base station (BS) to serve multiple users, suffers from pilot contamination due to inter-cell interference. A smart pilot assignment…

Information Theory · Computer Science 2016-11-15 Xudong Zhu , Zhaocheng Wang , Linglong Dai , Chen Qian

Recent advances in massive multiple-input multiple-output (MIMO) communication show that equipping base stations (BSs) with large arrays of antenna can significantly improve the performance of cellular networks. Massive MIMO has the…

Signal Processing · Electrical Eng. & Systems 2018-04-18 Yan Huang , Brian Jalaian , Stephen Russell , Hooman Samani

Distributed or Cell-free (CF) massive Multiple-Input, Multiple-Output (mMIMO), has been recently proposed as an answer to the limitations of the current network-centric systems in providing high-rate ubiquitous transmission. The capability…

Information Theory · Computer Science 2022-12-20 Salman Mohebi , Andrea Zanella , Michele Zorzi

We consider the uplink of a cellular massive MIMO network. Acquiring channel state information at the base stations (BSs) requires uplink pilot signaling. Since the number of orthogonal pilot sequences is limited by the channel coherence,…

Information Theory · Computer Science 2016-05-12 Rami Mochaourab , Emil Björnson , Mats Bengtsson

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

A major obstacle for widespread deployment of frequency division duplex (FDD)-based Massive multiple-input multiple-output (MIMO) communications is the large signaling overhead for reporting full downlink (DL) channel state information…

Information Theory · Computer Science 2019-01-14 Maximilian Arnold , Sebastian Dörner , Sebastian Cammerer , Sarah Yan , Jakob Hoydis , Stephan ten Brink

Multiple transmitting antennas can considerably increase the downlink spectral efficiency by beamforming to multiple users at the same time. However, multiuser beamforming requires channel state information (CSI) at the transmitter, which…

Information Theory · Computer Science 2017-01-31 Xu Du , John Tadrous , Ashutosh Sabharwal

Massive multiple-input multiple-output (MaMIMO) has become an integral part of the fifth-generation (5G) standard, and is envisioned to be further developed in beyond 5G (B5G) networks. With a massive number of antennas at the base station…

Information Theory · Computer Science 2022-11-15 Anup Mishra , Yijie Mao , Christo Kurisummoottil Thomas , Luca Sanguinetti , Bruno Clerckx

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…

Information Theory · Computer Science 2024-06-04 P Aswathylakshmi , Radha Krishna Ganti