SWIPT-based Real-Time Mobile Computing Systems: A Stochastic Geometry Perspective

Akin, Ayse Ipek;Janatian, Nafiseh;Stupia, Ivan;Vandendorpe, Luc
(2019) 2019 IEEE Wireless Communications and Networking Conference (WCNC) — Location: Marrakesh, Morocco (15.April.2019)

Files

WCNC2019-IPEK.pdf
  • Open Access
  • Adobe PDF
  • 647.65 KB
Download

Details

Authors
  • Akin, Ayse IpekUCLouvain
    Author
  • Janatian, NafisehUCLouvain
    Author
  • Stupia, Ivanorcid-logoUCLouvain
    Author
  • Vandendorpe, LucUCLouvain
    Author
Abstract
In this paper, we propose the use of simultaneous wireless information and power transfer (SWIPT) to control distributed computation process while delivering power to perform the computation tasks requested. A real-time mobile computing (MC) system is considered, meaning that the trade-off between the information rate and the energy harvested must be carefully chosen to guarantee that the central processing unit (CPU) may perform tasks of given complexity before receiving a new control signal. In order to provide a system-level perspective on the performance of such a SWIPT-MC network, we make use of stochastic geometry to characterise the rate-energy trade-off of the system. The resulting achievable performance region is then put in relation with the CPU energy consumption to investigate the operating conditions of real-time computing systems.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

Akin, A. I., Janatian, N., Stupia, I., & Vandendorpe, L. (2019). SWIPT-based Real-Time Mobile Computing Systems: A Stochastic Geometry Perspective. 2019 IEEE Wireless Communications and Networking Conference (WCNC). Published. 2019 IEEE Wireless Communications and Networking Conference (WCNC), Marrakesh, Morocco. https://doi.org/10.1109/wcnc.2019.8885663