A Study on the Information and Power Transfer Strategies with Multuple Access in Wireless Powered Sensor Networks 


Vol. 42,  No. 10, pp. 1904-1910, Oct.  2017
10.7840/kics.2017.42.10.1904


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  Abstract

In this paper, we consider wireless powered sensor networks (WPSNs), where the access point (AP) with multiple antennas transmits energy signal to multiple nodes which can harvest energy from the RF signal in the downlink (DL) and then, the nodes send their sensing data to the AP by exploiting the harvested energy in the uplink (UL). We consider the energy minimization to support the WPSN. To minimize the total transferred energy, the UL/DL time allocation and the covariance matrix of the transmit energy signal at AP are jointly optimized when TDMA and SDMA are, respectively exploited for the multiple access in DL. Because the associated energy minimization problem is non-convex, we develop iterative algorithms to solve it. Through the computer simulations, the performance of the proposed algorithm is demonstrated.

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  Cite this article

[IEEE Style]

S. Lee, J. Lee, J. Park, "A Study on the Information and Power Transfer Strategies with Multuple Access in Wireless Powered Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1904-1910, 2017. DOI: 10.7840/kics.2017.42.10.1904.

[ACM Style]

Sung-bok Lee, Jongheok Lee, and Jaehyun Park. 2017. A Study on the Information and Power Transfer Strategies with Multuple Access in Wireless Powered Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 42, 10, (2017), 1904-1910. DOI: 10.7840/kics.2017.42.10.1904.

[KICS Style]

Sung-bok Lee, Jongheok Lee, Jaehyun Park, "A Study on the Information and Power Transfer Strategies with Multuple Access in Wireless Powered Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1904-1910, 10. 2017. (https://doi.org/10.7840/kics.2017.42.10.1904)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880