Unsupervised Learning Approaches for User Clustering in NOMA enabled Aerial SWIPT Networks

Jingjing Cui, Mohammad Bariq Khan, Yansha Deng, Zhiguo Ding, Arumugam Nallanathan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2019-July
ISBN (Electronic)9781538665282
DOIs
Publication statusPublished - 1 Jul 2019
Event20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019 - Cannes, France
Duration: 2 Jul 20195 Jul 2019

Publication series

Name2019 IEEE 20TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC 2019)
ISSN (Print)2325-3789

Conference

Conference20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
Country/TerritoryFrance
CityCannes
Period2/07/20195/07/2019

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