Abstract

Paradigm shift to wireless power transfer provides opportunities for ultra-low-power devices to increase energy storage from electromagnetic (EM) sources. The notable gain occurs when EM sources deliver information as a meaningful signal with power transfer. Thus, energy harvesting (EH) is an active approach to obtain power from surrounding EM sources that transfer energy deliberately. This paper discusses energy efficiency (EE) trade-offs and EE maximization in simultaneous wireless power and information transfer (SWIPT) for wireless sensor networks (WSNs). The power splitting (PS) and time switching (TS) model for SWIPT are investigated in detail, where EE optimization is essential. This work formulates EE maximization problem as non-linear fractional programming and proposes a novel algorithm to solve the maximization problem using Lagrange dual decomposition. Numerical results reveal that the proposed algorithm maximizes EE in both PS and TS modes through noteworthy improvements.

Highlights

  • The generation of wireless technology is growing and concurrently demand for power consumption is increasing

  • The information conveys on different PAPR streams, which can be measured at the output of rectifier for energy harvesting (EH), and permits a low-energy combined receiver

  • This paper studied the EE maximization problem and proposed algorithms to solve the optimization problem in power splitting (PS) and time switching (TS) mode

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Summary

Introduction

The generation of wireless technology is growing and concurrently demand for power consumption is increasing. Several studies have considered SWIPT configuration in different modes such as power splitting (PS), time switching (TS), antenna switching (AS), and separated receiver architectures [4,5,6,7]. Reference [12] investigates the SWIPT architecture which uses distinct peak-to-average-power-ratio (PAPR) for information and multi-sine waveforms for energy. In this case, the information conveys on different PAPR streams, which can be measured at the output of rectifier for EH, and permits a low-energy combined receiver. The study on SWIPT focuses on cornering its basic architectural design and applications in some systems, such as MIMO wireless broadcast systems and cooperative relay network.

System Model
Energy Efficiency in Power Splitting Mode
Energy Efficiency in Time Switching Mode
Energy Efficiency Maximization in Power Splitting Mode
Energy Efficiency Maximization in Time Switching Mode
Optimal Solution of Power Splitting Mode
Optimal Solution of Time Switching Mode
Effective-Throughput in Power Splitting Mode
Effective-Throughput in Time Switching Mode
Numerical Results
Algorithm Convergence and Energy Efficiency in Power Splitting Mode
Effective Throughput and Outage Target Rate in Power Splitting Mode
Algorithm Convergence and Energy Efficiency in Time Switching Mode
Effective Throughput and Outage Target Rate in Time Switching Mode is
Conclusions
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