Compressive Sensing based User Activity Detection and Channel Estimation in Uplink NOMA Systems
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9116580/9120448/09120664.pdf?arnumber=9120664
Cited by 11 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. Sparse Vector Coding Based Massive Grant-Free Access for Short-Packet Communication in IIoT;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Activity Detection for Grant-Free NOMA in Massive IoT Networks;2023 International Conference on Computing, Networking and Communications (ICNC);2023-02-20
3. Seamless Connectivity: The Power of Integrating Power Line and Wireless Communications;IEEE Communications Surveys & Tutorials;2023
4. On Power Line Positioning Systems;Sensors;2022-10-14
5. Detection of Burst Users and Symbols for Grant-Free Communication in the Presence of Massive Connected Users;IEEE Transactions on Vehicular Technology;2022-07
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