Optimal Pilot Contamination Mitigation-Based Channel Estimation for Massive MIMO System Using Hybrid Machine Learning Technique
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0825-5_33
Reference11 articles.
1. Gao Z, Dai L, Dai W, Wang Z (2015) Block compressive channel estimation and feedback for FDD massive MIMO. In: 2015 IEEE conference on computer communications workshops (INFOCOM WKSHPS). IEEE, pp 49–50
2. Qian C, Fu X, Sidiropoulos ND (2019) Algebraic channel estimation algorithms for FDD massive MIMO systems. IEEE J Sel Top Signal Process 13(5):961–973
3. Wang X, Wan L, Huang M, Shen C, Zhang K (2019) Polarization channel estimation for circular and non-circular signals in massive MIMO systems. IEEE J Sel Top Signal Process 13(5):1001–1016
4. Rao S, Mezghani A, Swindlehurst AL (2019) Channel estimation in one-bit massive MIMO systems: angular versus unstructured models. IEEE J Sel Top Signal Process 13(5):1017–1031
5. Sure P, Bhuma CM (2015) A pilot aided channel estimator using DFT based time interpolator for massive MIMO-OFDM systems. AEU-Int J Electron Commun 69(1):321–327
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Channel estimation for pilot contamination in massive MIMO-NOMA system;Journal of High Speed Networks;2024-08-02
2. Channel estimation using hybrid optimizer based recurrent neural network long short term memory for MIMO communications in 5G network;SN Applied Sciences;2023-01-20
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