| Title |
AI-Enabled Massive Devices Multiple Access for Smart City |
| ID_Doc |
45561 |
| Authors |
Peng, W; Gao, W; Liu, JJ |
| Title |
AI-Enabled Massive Devices Multiple Access for Smart City |
| Year |
2019 |
| Published |
Ieee Internet Of Things Journal, 6, 5 |
| DOI |
10.1109/JIOT.2019.2902448 |
| Abstract |
Smart city is coming into urban life with the development of information and communication technologies. As an integral part of the smart city, massive heterogeneous Internet of Things devices face enormous challenges in multiple accessing and signal processing. In this paper, we propose an innovative and flexible scheduling method under the channel field multiple access framework to meet these requirements. In particular, artificial intelligence (AI) technology is adopted by the proposed solution. It is proved that the proposed AI-based scheduling method can obtain better performance than the existing methods by low complexity, especially, such performance gain becomes more significant as the number of devices increases. |
| Author Keywords |
Artificial intelligence (AI); Internet of Things (IoT); multiple access; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000491295800024 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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