Pilot contamination precoding in multi-cell large scale antenna systems
By Alexei E. Ashikhmin, T. Marzetta. IEEE International Symposium on Information Theory. Proceedings, 2012
339 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3e18509237700c031fcdfc484c0e287960671741
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In Computer Networks and Communications
- Emil Björnson
- Luca Sanguinetti
- Rui Zhang
- Jakob Hoydis
- Erik G. Larsson
- Geoffrey Y. Li
- Robert W. Heath
- Qingqing Wu
In Electrical and Electronic Engineering
- Emil Björnson
- Luca Sanguinetti
- Rui Zhang
- Erik G. Larsson
- Jakob Hoydis
- Merouane Debbah
- Qingqing Wu
- Geoffrey Y. Li
Citations in the corpus
- RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks (2019, background): “Some additional applications that rely on the knowledge of the pathloss function are fingerprint based localization [9], physical-layer security [10], power control in multi-cell massive MIMO systems [11], user pairing in MIMO-NOMA systems [12], precoding in multi-cell large scale antenna systems [1”
- Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “Cooperation between the distributed antennas can break this barrier as the number of antennas grows large [27], [49]–[52], at least in theory.”
- Massive MIMO Has Unlimited Capacity (2017, methodology): “The fourth category is pilot contamination precoding that rejects interference by coherent joint transmission/reception over the entire network [22], [23].”
- Pilot Reuse for Massive MIMO Transmission over Spatially Correlated Rayleigh Fading Channels (2015, background): “…contamination, several approaches including, e.g., coordinated channel estimation [11], time-shifted pilot allocation [12], eigenvalue decomposition based blind channel estimation [13], cooperative pilot contamination precoding [14], and distributed MMSE precoding [10] were proposed, respectively.”
- An Overview of Massive MIMO: Benefits and Challenges (2014, methodology): “To obtain the benefit of cooperation while limiting the information exchange overhead, a pilot contamination precoding (PCP) method is proposed in [48].”
- Fundamental Limits of Cooperation (2012, neutral): “It would be desirable to formalize the extension to MIMO, and especially to large-dimensional MIMO [54], [55].”
- Beam Division Multiple Access Transmission for Massive MIMO Communications (2015, background): “Nevertheless, because of pilot sequence reuse among cells, inter-cell interference persists for multicell systems [3], [4].”
- 5G roadmap: 10 key enabling technologies (2016, neutral): “t new precoding algorithms, such as pilot contamination precodng (PCP) [102] .”
- Massive MIMO for next generation wireless systems (2013, background): “• New precoding techniques that take into account the network structure, such as pilot contamination precoding [18], can utilize cooperative transmission over a multiplicity of cells—outside of the beamforming operation—to nullify, at least partially, the directed interference that results from pilo”
- A Comprehensive Survey of Pilot Contamination in Massive MIMO—5G System (2016, methodology): “[73] T. Marzetta and B. Hochwald, “Fast transfer of channel state information in wireless systems,” IEEE Trans.”
- Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey (2018, methodology): “Though TDD simplifies CSI acquisition with the use of uplink pilots particularly for mmWave massive MIMO systems and is easily adopted for modeling and simulation studies, it does not account for ICIs specific to downlink transmission, it is prone to inaccuracies due to transmitter-receiver mismatch”
- What Will 5G Be? (2014, background): “We begin with the most fundamental aspect of the physical layer—the waveform—and then consider the evolution of cloud-based and virtualized network architectures, latency and control signaling, and energy efficiency.”
- Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation (2019, methodology): “This approach is known as LSFD in Cellular mMIMO [28], [29], and can be applied at Level 3 as follows.”