Fundamentals of massive MIMO

By Erik G. Larsson. International Workshop on Signal Processing Advances in Wireless Communications, 2016

1,385 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/6ffb3107e1a9ae1741f3e781ac6a97ecbdec41d5

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Citations in the corpus

Prospective Multiple Antenna Technologies for Beyond 5G (2019, methodology): “In a nutshell, it is a combination of the best aspects of network MIMO that were conceived in the last decade and the analytical framework from the massive MIMO literature, recently surveyed in the textbooks [11], [12].”
Millimeter Wave Communications for Future Mobile Networks (2017, background): “The design of transmit precoding/beamforming and receive combining for SDMA is generally a mature topic [194], [195], but the special channel estimation and channel characteristics of hybrid systems require some further work on this topic [196], [197].”
Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces (2020, methodology): “For example, the basic features of Massive MIMO (multipleinput multiple-output) were first established using that model [5] and later extended to spatially correlated channels [6].”
Channel Hardening and Favorable Propagation in Cell-Free Massive MIMO With Stochastic Geometry (2017, methodology): “Such systems deliver high spectral efficiency by utilizing the channel hardening and favorable propagation phenomena [14].”
Massive MIMO Has Unlimited Capacity (2017, methodology): “Rayleigh fading with Rk = βkIM [26], but it only arises in fully isotropic fading environments.”
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities (2020, background): “remains the choice of interest [116], due to its ability to provide a higher beamforming gain, while utilizing the channel’s spatial degrees-of-freedom [113].”
White Paper on Broadband Connectivity in 6G (2020, methodology): “However, fully digital arrays will be available for a wide range of frequencies (including mmWave) when 6G arrives and, therefore, we should utilize it to implement something capable of providing a performance substantially closer to what the massive MIMO theory suggests [12, 13].”
Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination (2019, background): “uantify the SE and ﬁnally present recent results on the fundamental SE limits of Massive MIMO, which are not determined by pilot contamination (as is the case for spatially uncorrelated channels [7], [12]) but the ability to acquire accurate channel statistics. The lack of these insights has not pre”
Ubiquitous cell-free Massive MIMO communications (2018, methodology): “By exploiting channel reciprocity, the UL channel estimates can be also utilized as DL channel estimates, as in cellular Massive MIMO [2].”
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, methodology): “nation and decontamination [25]–[29], and power optimization [30]–[32]. The maturity of the research on Massive MIMO is underlined by the two recent textbooks on the topic that cover the fundamentals [2] as well as advanced topics [3]. The research in the aforementioned directions can certainly cont”
User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (2021, background): “In these systems, the transmitters are called access points in the cell-free massive MIMO architecture [2], remote radio heads (RRHs) in distributed antenna systems and C-RAN [33], and base stations (BSs) in small cells.”
Federated Learning via Over-the-Air Computation (2018, neutral): “…to support efﬁcient algorithms design, we shall propose a sparse representation approach to ﬁnd the maximum number of involved devices, followed by reformulating the nonconvex quadratic constraints as afﬁne constraints with an additional rank-one constraint by the matrix lifting technique.”
Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach (2020, background): “According to [27], the following result generally holds for ULA in a massive MIMO scenario: This result indicates that the steering vectors related to two different vehicles are asymptotically orthogonal in massive MIMO systems [21].”
Orthogonal Time Frequency Space Modulation (2017, background): “The convergence to a constant channel gain can also be interpreted as ”channel hardening”, an effect well known from massive MIMO systems [37].”
5G Key Technologies for Smart Railways (2020, methodology): “2) Massive MIMO Another important research direction to improve the data rate is to utilize massive MIMO, which played a major role in early 5G trials and becomes more central as 5G matures [13].”
On the Total Energy Efficiency of Cell-Free Massive MIMO (2017, background): “As in (cellular) colocated massive MIMO [8], cell-free massive MIMO exploits the favorable propagation and channel hard-ening properties when the number of APs is large to multiplex many users in the same time-frequency resource with small inter-user interference.”
Foundations of User-Centric Cell-Free Massive MIMO (2020, methodology): “The large data rate variations are inherent to the cellular network architecture and remain even if the APs are equipped with advanced hardware, such as Massive multiple-input multiple-output (MIMO) [33], [113], [114].”