Applying Machine Learning Approach to Identifying Channels in MIMO Networks for Communications in 5G-Enabled Sustainable Smart Cities
Author:
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/s11036-023-02213-8.pdf
Reference19 articles.
1. Mokh A, Prévotet JC, Crussière M (2018) ‘Extended receive spatial modulation Mimo scheme for higher spectral efficiency’ Veh Technol
2. Anupma B, Kumar V, Dhyani P (2016) ‘Performance analysis of Mimo Ofdm system using Bpsk & Qpsk modulation techniques under Rayleigh fading channel’. Int J Adv Res Comput Eng Technol (Ijarcet) 5(1)
3. Tyagi A, Ashraf J, Bilal Y (2015) ‘Mimo configuration scheme with spatial multiplexing and Qpsk modulation’. Int J Adv Res Sci Eng 4(7)
4. Kushwah AS (2014) Performance analysis Of 2*4 Mimo-Mc-Cdma In Rayleigh fading channel using Zf-Decoder. Int J Eng Trends Technol (IJETT) 8(4):204
5. Azizzadeh A, Mohammadkhani R et al (2017) ‘Ber performance of uplink massive Mimo with low-resolution Adcs’. Electr Eng Syst Sci > Sig Process
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