Mimo Systems with Improved Channel State Infrmations with ML and AI-Reference-Cited by-同舟云学术

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Mimo Systems with Improved Channel State Infrmations with ML and AI

Published:2023-12-19 Issue: Volume: Page:1461-1465
ISSN:
Container-title:2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)
language:
Short-container-title:

Author:

T Thiruvenkadam¹,Hassan Inzimam ul²,Agarwal Trapty³

Affiliation:

1. Jain (Deemed to be University),Computer Science Engineering Department,Bangalore,India

2. Vivekananda Global University,Department of Computer Science & Engineering,Jaipur,India

3. Maharishi School of Engineeing & Technology, Maharishi University of Information Technology,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450149/10449970/10451336.pdf?arnumber=10451336

Reference22 articles.

1. Five disruptive technology directions for 5G

2. Capacity Analysis of One-Bit Quantized MIMO Systems With Transmitter Channel State Information

3. On the limits of communication with low-precision analog-to-digital conversion at the receiver

4. Throughput Analysis of Massive MIMO Uplink With Low-Resolution ADCs

5. On the Spectral Efficiency of Massive MIMO Systems With Low-Resolution ADCs

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