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A Stochastic Geometry Analysis for Energy-Harvesting-Based Device-to-Device Communication
- Source :
- IEEE Internet of Things Journal. 9:1591-1607
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- The rapidly developing energy harvesting (EH) technology is a promising solution to the durability issue in the battery-powered Internet of things (IoT) systems. In this paper, underlaid device-to-device (D2D) transmission powered by radio signals harvested from cellular systems is studied. By considering the dilemmas among energy harvesting, D2D transmission opportunity, and interference management, we propose two transmission policies: Policy 1 requires that the available power in the battery should be no less than the D2D transmission power; Policy 2 not only sets the constraint on available power, but also introduces the guard zone rule to protect D2D transmissions from severe interference. The employment of a guard zone in this situation is technically challenging since the original distribution of energy arrival will thereby be changed. We derive expressions in closed or semi-closed forms for the considered D2D transmission performance metrics with the stochastic geometry framework and Poisson hole process. With numerical simulation results, the influences of varying network parameters on D2D performances are illustrated. The results show that by introducing a guard zone, the D2D successful transmission rate can be increased by 41.2%. All the developed D2D framework and the summarized useful remarks are used to provide meaningful design insights and guidelines for the deployment strategies of EH based D2D wireless networks.
- Subjects :
- Guard (information security)
Computer Networks and Communications
Wireless network
Computer science
Interference (wave propagation)
Computer Science Applications
Power (physics)
Transmission (telecommunications)
Hardware and Architecture
Signal Processing
Electronic engineering
Energy harvesting
Stochastic geometry
Energy (signal processing)
Information Systems
Subjects
Details
- ISSN :
- 23722541
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Internet of Things Journal
- Accession number :
- edsair.doi...........8b2a07c4f6a9e36f9a67facff782d5d7