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Data Aggregation in Massive Machine Type Communication: Challenges and Solutions

  • Published:2019 Issue: Volume:7 Page:41921-41946
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Salam TabindaORCID,Rehman Waheed UrORCID,Tao XiaofengORCID

Funder

National Science and Technology Major Project

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

111 Project of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 42 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. Active Detection and Channel Estimation Schemes for Massive Random Access in User-Centric Cell-Free Massive MIMO System;IEEE Internet of Things Journal;2024-09-01

2. Decentralized Massive Access Random Scheme in User-Centric Cell-Free Massive MIMO System;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

3. Precoder Optimization Using Data Correlation for Wireless Data Aggregation;IEICE Transactions on Communications;2024-03

4. An Optimized Neural Network-Based Resource Allocation for 5G Wireless Communication Systems;Lecture Notes in Electrical Engineering;2024

5. Priority-Based Resource Scheduling for Smart City M2M Communication in 5G Networks;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04
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