Grant-Free Random Access With Channel Differentiation in Massive MIMO Systems
Author:
Affiliation:
1. State Key Laboratory of Integrated Services Network, Xidian University, Xi'an, China
2. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada
Funder
National Natural Science Foundation of China
China Scholarship Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10043591/09916151.pdf?arnumber=9916151
Reference19 articles.
1. Spatial Filtering Based Random Access for Machine-Type Communications in Massive MIMO Cellular Networks
2. Pilot Decontamination for Massive MIMO Network With UAVs
3. Self-Organized Scheduling Request for Uplink 5G Networks: A D2D Clustering Approach
4. Machine Learning-Based Channel Classification and Its Application to IEEE 802.11ad Communications
5. Pilot Contamination Attack Detection for 5G MmWave Grant-Free IoT Networks
Cited by 1 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. Fixed Cluster-Based Collision Resolution Random Access for Cell-Free Massive MIMO;IEEE Transactions on Wireless Communications;2024-08
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