Multiuser Detection Using GRAND-Aided Macrosymbols
Author:
Affiliation:
1. MIT,Research Lab of Electronics,Cambridge,USA
2. Northeastern University,Dept. ECE & Math,Boston,USA
Funder
National Science Foundation
DARPA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10278938.pdf?arnumber=10278938
Reference19 articles.
1. Global connectivity report 2022;International Telecommunication Union,2022
2. IMT traffic estimates for the years 2020 to 2030;International Telecommunication Union,2015
3. Ultra-Reliable Low Latency Cellular Networks: Use Cases, Challenges and Approaches
4. Toward Massive, Ultrareliable, and Low-Latency Wireless Communication With Short Packets
5. Performance Comparison of MMSE-SIC and MMSE-ML Multiuser Detectors in a STBC-OFDM System
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Nonorthogonal Multiple Access With Guessing Random Additive Noise Decoding-Aided Macrosymbol (GRAND-AM);IEEE Internet of Things Journal;2024-09-01
2. Separating Interferers from Multiple Users in Interference Aware Guessing Random Additive Noise Decoding Aided Macrosymbol;MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM);2023-10-30
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