Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems
Friedrich-Alexander-Universität Erlangen-Nürnberg · UNSW Sydney · +1 more institution
Abstract
In this letter, we propose a practical non-linear energy harvesting model and design a resource allocation algorithm for simultaneous wireless information and power transfer (SWIPT) systems. The algorithm design is formulated as a non-convex optimization problem for the maximization of the total harvested power at energy harvesting receivers subject to minimum required signal-to-interference-plus-noise ratios (SINRs) at multiple information receivers. We transform the considered non-convex objective function from sum-of-ratios form into an equivalent objective function in subtractive form, which enables the derivation of an efficient iterative resource allocation algorithm. In each iteration, a…
Citation impact
- FWCI
- 43.77
- Percentile
- 100%
- References
- 27
Authors
4Topics & keywords
- Computer science
- Mathematical optimization
- Relaxation (psychology)
- Resource allocation
- Maximum power transfer theorem
- Maximization
- Iterative method
- Wireless