Enabling Energy-Efficiency in Massive-MIMO: A Scalable Low-Complexity Decoder for Generalized Quadrature Spatial Modulation-Reference-Cited by-同舟云学术

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Enabling Energy-Efficiency in Massive-MIMO: A Scalable Low-Complexity Decoder for Generalized Quadrature Spatial Modulation

Published:2023-12-10 Issue: Volume:18 Page:301-305
ISSN:
Container-title:2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
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Author:

Rou Hyeon Seok¹,De Abreu Giuseppe Thadeu Freitas¹,G. David González²,Gonsa Osvaldo²

Affiliation:

1. School of Computer Science and Engineering, Constructor University,Bremen,Germany,28759

2. Wireless Communications Technologies, Continental AG,Frankfurt/Main,Germany,65936

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10402605/10403414/10403488.pdf?arnumber=10403488

Reference15 articles.

1. Spatial Modulation

2. 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies

3. Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond

4. Quadrature Spatial Modulation

5. Space-Time Block Coded Spatial Modulation

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