Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions

• Published in: IEEE wireless communications Vol. 27; no. 1; pp. 214 - 222
• Main Authors: Huang, Hongji, Guo, Song, Gui, Guan, Yang, Zhen, Zhang, Jianhua, Sari, Hikmet, Adachi, Fumiyuki
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 5G mobile communication; Channel estimation; Communication; Communications systems; Deep learning; Machine learning; Millimeter waves; MIMO communication; NOMA; Wireless communication; Wireless communications

The new demands for high-reliability and ultra-high capacity wireless communication have led to extensive research into 5G communications. However, current communication systems, which were designed on the basis of conventional communication theories, significantly restrict further performance impro...