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Link activation using variational graph autoencoders |
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| Author: | Jamshidiha, Saeed1; Pourahmadi, Vahid1; Mohammadi, Abbas1; |
| Organizations: |
1Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran 2Centre for Wireless Communications, University of Oulu, Finland |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.4 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2021101450946 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2021
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| Publish Date: | 2021-10-14 |
| Description: |
AbstractAn unsupervised method is proposed for link activation in wireless networks by identifying clusters of interfering users. A k-nearest neighbors interference graph is first defined for the wireless network which is then mapped to a stochastic latent space. The users are then clustered in the latent space using a Gaussian mixture model, and one user from each interfering cluster is activated while the rest of the users in that cluster remain idle. The proposed framework is scalable, works across several network topologies such as device to device (D2D), and is close to the optimal solution in performance. see all
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| Series: |
IEEE communications letters |
| ISSN: | 1089-7798 |
| ISSN-E: | 2373-7891 |
| ISSN-L: | 1089-7798 |
| Volume: | 25 |
| Issue: | 7 |
| Pages: | 2358 - 2361 |
| DOI: | 10.1109/LCOMM.2021.3076190 |
| OADOI: | https://oadoi.org/10.1109/LCOMM.2021.3076190 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Copyright information: |
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