Literature Database Entry

cui2019unsupervised

Jingjing Cui, Mohammad Bariq Khan, Yansha Deng, Zhiguo Ding and Arumugam NaIlanathan, "Unsupervised Learning Approaches for User Clustering in NOMA enabled Aerial SWIPT Networks," Proceedings of 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019), Cannes, France, July 2019.

Abstract

This paper studies the application of simultaneous wireless information and power transfer (SWIPT) to millimeterwave non-orthogonal multiple access (mmWave-NOMA) enabled aerial networks, where an aerial base station (ABS) sends wireless information and energy simultaneously via NOMA schemes to multiple single-antenna information decoding (ID) devices and energy harvesting (EH) devices. This paper aims to maximize the harvested sum-power of all EH devices subject to given minimum rate constraints at different ID devices. Furthermore, we develop two machine learning based clustering algorithms, namely, K-means and K-medoids, where devices' locations are extracted to model the features for clustering. Our simulation results demonstrate: 1) the impact of different clustering approaches on the sum EH power under different spatial distributions of devices; 2) the proposed machine learning based clustering framework for mmWave-NOMA enabled aerial SWIPT networks is capable of achieving considerate improvements in terms of the harvested energy compared to conventional aerial SWIPT networks.

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Original Version DOI (at publishers web site)
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Jingjing Cui
Mohammad Bariq Khan
Yansha Deng
Zhiguo Ding
Arumugam NaIlanathan

BibTeX reference

@inproceedings{cui2019unsupervised,
    author = {Cui, Jingjing and Khan, Mohammad Bariq and Deng, Yansha and Ding, Zhiguo and NaIlanathan, Arumugam},
    doi = {10.1109/spawc.2019.8815399},
    title = {{Unsupervised Learning Approaches for User Clustering in NOMA enabled Aerial SWIPT Networks}},
    publisher = {IEEE},
    address = {Cannes, France},
    booktitle = {20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019)},
    month = {7},
    year = {2019},
   }
   
   

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Last modified: 2024-04-26