Shifting the MIMO Paradigm
By David Gesbert, Marios Kountouris, Robert W. Heath, Chan-Byoung Chae, Thomas E. Sälzer. IEEE Signal Processing Magazine, 2007
1,087 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/2720c554db24944546348fc0623a980953a3bbeb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Emil Björnson
- Luca Sanguinetti
- Erik G. Larsson
- Nihar Jindal
- Rui Zhang
- Giuseppe Caire
- Robert W. Heath
- Shi Jin
In Electrical and Electronic Engineering
- Emil Björnson
- Rui Zhang
- Luca Sanguinetti
- Erik G. Larsson
- Robert W. Heath
- T. Marzetta
- Nihar Jindal
- Jakob Hoydis
Citations in the corpus
- Beamspace MIMO for high-dimensional multiuser communication at millimeter-wave frequencies (2013, background): “These plots show that the simplest MF precoder [19], [21], [22] performs well at lower SNRs due to the approximate orthogonality of high-dimensional user channels [8].”
- Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback (2007, background): “In addition, the maximum multiplexing gain is M for all K ≥ M and hence the case K = M suffices to capture the fundamental aspects of the problem (particularly at high SNR).”
- Argos: practical many-antenna base stations (2012, background): “Roughly speaking, the spectral capacity gain from MUBF is min( M, K ) [9].”
- Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems (2011, background): “Such systems have attracted much attention for some time now [2].”
- The Multicell Multiuser MIMO Uplink with Very Large Antenna Arrays and a Finite-Dimensional Channel (2013, background): “Such systems can offer a spatial multiplexing gain even if the users have only a single antenna each [2]–[4].”
- Massive MIMO: An Introduction (2015, neutral): “The third activity is known as MIMO (multiple input multiple output), and it further divides into its original form, Point-to-Point MIMO [3–6], and the later (in terms of its theoretical development) Multi-User MIMO [7–10] of which Massive MIMO is emerging as its ultimate and most useful form [11–14”
- Multi-Cell MIMO Cooperative Networks: A New Look at Interference (2010, methodology): “To achieve this remarkable result, multi-user spatial precoding and decoding is involved on the downlink and uplink respectively, much akin to techniques used over the MU-MIMO channel [13].”
- Massive MIMO Performance Evaluation Based on Measured Propagation Data (2014, methodology): “With massive MIMO, we consider multiuser MIMO (MU-MIMO) systems [1] where base stations are equipped with a large number (say, tens to hundreds) of antennas.”
- Cloud RAN for Mobile Networks—A Technology Overview (2015, methodology): “1) [14], [27], [28], [29], [30], [31], [32], [33], [44], [55]; 2) [6], [12], [34], [35], [36] Quantifying an increase of through-put It has been analyzed to what extend the cooperative techniques such as ICIC, CoMP and Massive MIMO can be enhanced in C-RAN.”