Liang, K., Zhao, L., Yang, K. et al. (1 more author) (2017) Online Power and Time Allocation in MIMO Uplink Transmissions Powered by RF Wireless Energy Transfer. IEEE Transactions on Vehicular Technology, 66 (8). pp. 6819-6830. ISSN 1939-9359
Abstract
Wireless energy transfer (WET) has been a promising technology to tackle the lifetime bottlenecks of energy-limited wireless devices in recent years. In this paper, we study a WET enabled multiple input multiple output (MIMO) system including a base station (BS) and a user equipment (UE), which has a finite battery capacity. We consider slotted transmissions, where each slot includes two phases, namely downlink (DL) WET phase and uplink (UL) wireless information transmission (WIT) phase. In the WET phase (a fraction τ of a slot), the BS transfers energy and the UE stores the received energy in the battery. In the WIT phase (a fraction 1 − τ of a slot), the UE transmits information to the BS by using the energy in the battery. Considering the power sensitivity α of the radio frequency (RF) to direct current (DC) conversion circuits, the BS transfers energy only if the UE received power is larger than α, and the downlink WET is formulated as a Bernoulli process. Based on the formulation, we propose an online power and time allocation algorithm to maximize the average data rate of uplink WIT. We also extend the proposed algorithm to multiple user systems. The numerical results show that the proposed algorithm outperforms the existing schemes in terms of average data rate, energy efficiency and outage probability.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2017 IEEE. This is an author produced version of a paper subsequently published in IEEE Transactions on Vehicular Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | WET; MIMO; online power and time allocation; finite battery size |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Jul 2016 13:40 |
Last Modified: | 25 Oct 2017 13:47 |
Published Version: | https://doi.org/10.1109/TVT.2017.2651949 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/TVT.2017.2651949 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102862 |