Joint Channel Estimation
Joint Channel Estimation is a channel estimation method that simultaneously infers multiple channel parameters or states within a shared statistical or signal model, distinguishing itself from sequential or isolated estimation techniques by exploiting interdependencies among the parameters to improve accuracy and robustness.
1.1K
Publications
46.6K
Citations
2.3K
Authors
688
Institutions
Publications per year
2017–2026
391
Parents
1.1K
Cell-Free Massive MIMO: A New Next-Generation Paradigm
Jiayi Zhang, ShuaiFei Chen, Yan Lin et al. · IEEE Access · 2019 · 522 citations · Full text
Qurrat-Ul-Ain Nadeem, Hibatallah Alwazani, Abla Kammoun et al. · IEEE Open Journal of the Communications Society · 2020 · 453 citations · Full text
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688
Tsinghua University
Beijing, China
24 h-index
102 publications
7.1K citations
University of Southampton
Southampton, United Kingdom
24 h-index
92 publications
4.1K citations

Southeast University
Nanjing, China
24 h-index
83 publications
5K citations

University of Electronic Science and Technology of China
Chengdu, China
22 h-index
96 publications
5.9K citations

Beijing Institute of Technology
Beijing, China
20 h-index
68 publications
4.2K citations

Zhejiang University
Hangzhou, China
19 h-index
60 publications
3.4K citations

Beijing University of Posts and Telecommunications
Beijing, China
18 h-index
74 publications
2.4K citations

Shanghai Jiao Tong University
Shanghai, China
17 h-index
55 publications
3K citations
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111 publications · 6.9K citations
46
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102 publications · 5.6K citations
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94 publications · 6.6K citations
41
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88 publications · 3.2K citations
34
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41 publications · 2.4K citations
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