Deep Learning Based Antenna Selection Aided Space-Time Shift Keying Systems
Author:
Affiliation:
1. Department of Electronic and Information Engineering, Shenzhen University, Shenzhen China
Funder
Foundation of Shenzhen University
Natural Science Foundation of China
Foundation of Shenzhen
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3349341.3349441
Reference15 articles.
1. Intelligent 5G: When cellular networks meet artificial intelligence;Li R.;{\sl IEEE Wireless Communications},2017
2. Space-Time Shift Keying: A Unified MIMO Architecture;Sugiura S.;{\sl IEEE Global Telecommunications Conference},2010
3. Semi-Blind adaptive space-Time shift keying systems based on iterative channel estimation and data detection;Zhang P.;{\sl IEEE Vehicular Technology Conference},2011
4. Selecting an optimal set of transmit antennas for a low rank matrix channel
5. K. He X. Zhang S. Ren J. Sun "Deep residual learning for image recognition " in {\sl IEEE Conference on Computer Vision and Pattern Recognition (CVPR)} pp. 770--778 2016. K. He X. Zhang S. Ren J. Sun "Deep residual learning for image recognition " in {\sl IEEE Conference on Computer Vision and Pattern Recognition (CVPR)} pp. 770--778 2016.
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. Applications of Machine Learning and Deep Learning in Antenna Design, Optimization, and Selection: A Review;IEEE Access;2023
2. Deep Learning Based Antenna Selection for MIMO SDR System;Sensors;2020-12-07
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