The Multicell Multiuser MIMO Uplink with Very Large Antenna Arrays and a Finite-Dimensional Channel
By Hien Quoc Ngo, Erik G. Larsson, T. Marzetta. IEEE Transactions on Communications, 2013
321 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1788b4f939e25b50443c11eca41d8b62574fb114
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In Computer Networks and Communications
In Electrical and Electronic Engineering
- Rui Zhang
- Geoffrey Y. Li
- Qingqing Wu
- Zhiguo Ding
- Shi Jin
- A. L. Swindlehurst
- Robert Schober
- Emil Björnson
Citations in the corpus
- Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction (2020, methodology): “Channel Estimation Least Square [74], MMSE [75,76], Improved MMSE [77,78], Blind Estimation [80,81], Compresses Sensing [82,83], MICED [84], Untraind Deep Neural Network [85], Compressed Sensing [86], Convolutional Blind Denoising [87], VAMP [88], Deep Learning based Sparse Estimation [89], CNN base”
- An Overview of Massive MIMO: Benefits and Challenges (2014, background): “The impact of more practical channel models on pilot contamination is analyzed in [65].”
- A Comprehensive Survey of Pilot Contamination in Massive MIMO—5G System (2016, unknown): “literature [11], [13], [26], [27], [32], [74], [75], [92], [93].”
- 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].”
- Pilot Reuse for Massive MIMO Transmission over Spatially Correlated Rayleigh Fading Channels (2015, background): “Regarding the multi-cell scenario where pilot contamination persists [15], performances of the proposed PR scheme will depend on the system configurations.”