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AI assisted PHY in future wireless systems: Recent developments and challenges
- Source :
- China Communications. 18:285-297
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- Nowadays, the rapid development of artificial intelligence (AI) provides a fresh perspective in designing future wireless communication systems. Innumerable attempts exploiting AI methods have been carried out, which results in the state-of-the-art performance in many different areas of wireless communications. In this article, we present the most recent and insightful developments that demonstrate the potentials of AI techniques in different physical layer (PHY) components and applications including channel characterization, channel coding, intelligent signal identification, channel estimation, new PHY for random access in massive machine-type communication (mMTC), massive multiple-input multiple-output (MIMO) power control and PHY resource management. Open challenges and potential future directions are identified and discussed along this research line.
- Subjects :
- Computer Networks and Communications
Computer science
business.industry
MIMO
Physical layer
020302 automobile design & engineering
020206 networking & telecommunications
02 engineering and technology
0203 mechanical engineering
Computer architecture
PHY
0202 electrical engineering, electronic engineering, information engineering
Wireless
Resource management
Electrical and Electronic Engineering
business
Random access
Power control
Communication channel
Subjects
Details
- ISSN :
- 16735447
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- China Communications
- Accession number :
- edsair.doi...........e88f137355a6930412f74981fd210e97
- Full Text :
- https://doi.org/10.23919/jcc.2021.05.019