Research on Anti-Jamming Algorithm of Massive MIMO Communication System Based on Multi-User Game Theory-Reference-Cited by-同舟云学术

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Research on Anti-Jamming Algorithm of Massive MIMO Communication System Based on Multi-User Game Theory

Published:2022-02-05 Issue:4 Volume:27 Page:1553-1558
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Guan Mingxiang,Wu Zhou^ORCID,Yang WeiGuo,Guo bin,Cao Xuemei,Chen Hanying

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s11036-021-01874-7.pdf

Reference21 articles.

1. Wang M, Gao F, Shlezinger N, Flanagan MF, Eldar YC (2020) A block sparsity based estimator for mm wave massive MIMO channels with beam squint [J]. IEEE Trans Signal Process 68:49–64

2. Wang J, He L, Song J (2019) Towards higher spectral efficiency: Spatial path index modulation improves millimeter-wave hybrid beamforming[J]. IEEE J Select Top Signal Process 13(6):1348–1359

3. Bandi A, Joroughi V, Mysore BSR, Grotz J, Ottersten B (2018) Sparsity aided low-implementation cost based on-board beamforming design for high throughput satellite systems[C]. 2018 9th Advanced Satellite Multimedia Systems Conference and the 15th Signal Processing for Space Communications Workshop (ASMS/SPSC), pp 1–6

4. Guesmi L, Menif M (2015) Modulation formats recognition technique using artificial neural networks for radio over fiber systems[C]. 2015 17th International Conference on Transparent Optical Networks (ICTON), Budapest, pp 1–4

5. Ye H, Li GY, Juang B (2018) Power of deep learning for channel estimation and signal detection in OFDM systems[J]. IEEE Wireless Commun Lett 7(1):114–117

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