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Energy Efficiency Maximization for WSNs with Simultaneous Wireless Information and Power Transfer
Hongyan Yu1, Yongqiang Zhang2, Songtao Guo3
1College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China. yhy123@email.swu.edu.cn.
Sensors (Basel, Switzerland)
|August 19, 2017
Summary
This study optimizes energy efficiency for simultaneous wireless information and power transfer (SWIPT) in wireless rechargeable sensor networks (WRSNs). Novel algorithms address tradeoffs between energy efficiency, spectral efficiency, and power constraints for power splitting (PS) and time switching (TS) modes.
Area of Science:
- Wireless Communication Systems
- Green Communication
- Optimization Theory
Background:
- Simultaneous Wireless Information and Power Transfer (SWIPT) is crucial for energy-constrained wireless sensor networks (WRSNs).
- Energy efficiency optimization in SWIPT for WRSNs, particularly considering green communication, remains underexplored.
- Existing SWIPT research often overlooks the intricate tradeoffs between energy efficiency and other performance metrics.
Purpose of the Study:
- To investigate and optimize energy efficiency in SWIPT systems for WRSNs.
- To analyze the tradeoffs between energy efficiency, spectral efficiency, transmit power, and outage target rate.
- To develop algorithms for maximizing energy efficiency under Quality of Service (QoS), harvested energy, and power constraints.
Main Methods:
- Formulation of an energy efficiency maximization problem as a non-convex optimization problem.
- Development of algorithms for power control and power allocation in Power Splitting (PS) and Time Switching (TS) modes.
- Application of nonlinear fractional programming and Lagrangian dual decomposition to solve non-convex problems.
- Derivation of outage probability and effective throughput for scenarios with partial or no Channel State Information (CSI).
Main Results:
- Proposed suboptimal iterative algorithms effectively solve the non-convex optimization problems for PS and TS modes.
- The algorithms achieve optimal solutions within a limited number of iterations.
- Demonstrated ability to manage tradeoffs between energy efficiency, spectral efficiency, transmit power, and outage target rate.
Conclusions:
- The developed iterative algorithms provide an effective solution for energy efficiency maximization in SWIPT-based WRSNs.
- The study highlights the importance of considering circuit power consumption and harvested energy in system design.
- The proposed methods offer flexibility in managing critical performance tradeoffs for practical SWIPT system deployment.
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