Next Article in Journal
A Polynomial-Exponent Model for Calibrating the Frequency Response of Photoluminescence-Based Sensors
Previous Article in Journal
Wind Tunnel Measurement Systems for Unsteady Aerodynamic Forces on Bluff Bodies: Review and New Perspective
Open AccessLetter

Energy Efficiency in RF Energy Harvesting-Powered Distributed Antenna Systems for the Internet of Things

by Jiaxin Li 1,2, Ke Xiong 1,3, Jie Cao 4, Xi Yang 5,6,* and Tong Liu 7
1
School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
3
Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China
4
College of Information Engineering, Nanjing University of Finance & Economic, Nanjing 210023, China
5
School of Information, Beijing Wuzi University, Beijing 101149, China
6
Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing 101149, China
7
Beijing Computing Center, Beike Industry Park, Beijing 100094, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(16), 4631; https://doi.org/10.3390/s20164631
Received: 13 July 2020 / Revised: 6 August 2020 / Accepted: 7 August 2020 / Published: 18 August 2020
(This article belongs to the Special Issue Energy-Efficient Communications for beyond 5G Green Networks)
This paper studies a distributed antenna system (DAS) network with radio frequency (RF) energy harvesting (EH) technology where the distributed antenna ports (DAPs) transmit energy and information to multiple users simultaneously. The time division multiple access (TDMA) protocol is adopted, so for each time slot is allowed to receive information, while the rest of the users harvest energy. In order to maximize the system energy efficiency (EE), subject to the EH requirements and data rate requirements of the users, the transmission time and power assignment are jointly optimized. In order to deal with this non-convex problem, based on Dinkelbach theory and the block-coordinate descent (BCD) scheme, an efficient algorithm is designed to obtain the global optimal solution. Then, simulation results are presented to show that the proposed method achieves much higher system EE compared with benchmark methods. With the increase of the user’s minimum information rate, the system EE decreases rapidly. View Full-Text
Keywords: energy harvesting; distributed antenna system; energy efficiency energy harvesting; distributed antenna system; energy efficiency
Show Figures

Figure 1

MDPI and ACS Style

Li, J.; Xiong, K.; Cao, J.; Yang, X.; Liu, T. Energy Efficiency in RF Energy Harvesting-Powered Distributed Antenna Systems for the Internet of Things. Sensors 2020, 20, 4631.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop