An accurate channel model for optimizing effect of non-LOS component in RF energy transfer
2017 (English)In: 23rd National Conference on Communications, NCC 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]
Self-sustainability of wireless sensor nodes can be realized with the help of controlled radio frequency energy transfer (RF-ET). However due to significant energy loss in wireless dissipation, there is a need for novel schemes to improve the end-To-end RF-ET efficiency. In this work we propose a new channel model for accurately characterizing the harvested DC power at the receiver. This model incorporates the effects of non-line of sight (NLOS) component along with the other factors, such as, polarization of transmitting field, radiation pattern of transmit and receive antennas, polarization loss factor, and efficiency of power harvester circuit. We have validated accuracy of the proposed model by carrying out experiments in an anechoic chamber. In addition to this characterization, we formulate an optimization problem by accounting for the effect of NLOS component to maximize the RF-ET efficiency. To solve this nonconvex problem, we present a computationally-efficient golden section based iterative algorithm. Finally, via numerical investigation we show that significant efficiency improvement can be achieved with
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1-6
Keywords [en]
Energy dissipation; Energy transfer; Iterative methods; Mobile telecommunication systems; Optimization; Polarization; Radiation effects; Receiving antennas; Sensor nodes, Computationally efficient; Efficiency improvement; Iterative algorithm; Numerical investigations; Optimization problems; Polarization loss; Radio-frequency energy; Wireless sensor node, Directional patterns (antenna)
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-155747DOI: 10.1109/NCC.2017.8077106ISBN: 9781509053568 (electronic)ISBN: 9781509053575 (electronic)OAI: oai:DiVA.org:liu-155747DiVA, id: diva2:1299104
Conference
Twenty-third National Conference on Communications (NCC), 2-4 March, Chennai, India
2019-03-262019-03-262019-03-26Bibliographically approved