Resource Allocation for a Secure SWIPT Network Based on a Quantitative Energy Harvesting Mechanism

Area of Science:

• Wireless communication networks
• Energy harvesting technologies
• Resource allocation optimization

Background:

• Energy-constrained networks require efficient solutions for extended lifecycles.
• Simultaneous Wireless Information and Power Transfer (SWIPT) offers a promising approach.
• Improving energy harvesting (EH) and network performance in secure SWIPT is crucial.

Purpose of the Study:

• To address the resource allocation problem in secure SWIPT networks using a quantitative EH mechanism.
• To design and apply a Quantified Power-Splitting (QPS) receiver architecture.
• To maximize network throughput while satisfying SINR, EH, power, and security constraints.

Main Methods:

• Developed a Quantified Power-Splitting (QPS) receiver architecture based on quantitative EH and nonlinear EH models.
• Formulated an optimization problem to maximize network throughput under various constraints.
• Employed a hierarchical optimization method, including an optimal received power algorithm and convex optimization techniques (variable substitution, semidefinite relaxation, dichotomous optimization).

Main Results:

• The QPS receiver architecture demonstrates a larger input power threshold range compared to traditional power splitting architectures.
• This wider range prevents the EH circuit from entering a saturated working state.
• High network throughput is maintained even with optimized energy harvesting.

Conclusions:

• The proposed QPS receiver architecture effectively improves EH efficiency and network performance in secure SWIPT systems.
• The hierarchical optimization method successfully tackles the nonconvex resource allocation problem.
• QPS architecture offers a robust solution for energy-constrained wireless networks.