Proportional fairness in wireless powered CSMA/CA based IoT networks

Xiaomin Chen, Zhan Shu, Kezhi Wang, Fangmin Xu, Yue Cao

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

1 Citation (Scopus)
5 Downloads (Pure)

Abstract

This paper considers the deployment of a hybrid wireless data/power access point in an 802.11-based wireless powered IoT network. The proportionally fair allocation of throughputs across IoT nodes is considered under the constraints of energy neutrality and CPU capability for each device. The joint optimization of wireless powering and data communication resources takes the CSMA/CA random channel access features, e.g. the backoff procedure, collisions, protocol overhead into account. Numerical results show that the optimized solution can effectively balance individual throughput across nodes, and meanwhile proportionally maximize the overall sum throughput under energy constraints.
Original languageEnglish
Title of host publication2018 IEEE Global Communications Conference (GLOBECOM)
Subtitle of host publicationAbu Dhabi, United Arab Emirates, 9-13 December 2018
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages4275-4282
ISBN (Electronic)9781538647271, 9781538669761
ISBN (Print)9781538647288
DOIs
Publication statusPublished - Dec 2018
EventIEEE Global Communications Conference - Abu Dhabi National Exhibition Centre, Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018
http://globecom2018.ieee-globecom.org/

Conference

ConferenceIEEE Global Communications Conference
Abbreviated titleGLOBECOM 2018
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period9/12/1813/12/18
Internet address

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