Abstract

In recent research trends, simultaneous wireless information and power transfer (SWIPT) has proved to be an innovative technique to deal with limited energy problems in energy harvesting (EH) technologies for wireless sensor networks (WSNs). In this paper, a method of subcarrier and power allocation for both EH and information decoding (ID) operations is proposed under orthogonal frequency division multiplexing (OFDM) systems, with an improved the quality of service (QoS) parameters. This proposed method assigns one group of subcarriers for ID and remaining group of subcarriers is assigned for EH, despite of applying any splitting schemes. We achieved maximum EH under the ID and power constraints with an effective algorithm for the first time incorporating the dual decomposition technique which deals with power and subcarrier allocation problem jointly. The obtained simulation outcomes in relation to power allocation ratio, subcarrier allocation ratio and energy harvested (EH) at the destination node proved better when compared to the schemes that contain water filling, time switching (TS) or power splitting (PS) approaches under different target transmission rates and transmitter and receiver distances.

Highlights

  • The concept of simultaneous transformation of information and energy in the field of wireless communication has recently received an upsurge of interest for the researchers

  • One portion is allocated for one group that is used for energy harvesting (EH) and the other potion is allocated for another group that is used for information decoding (ID) of the received signal

  • EH is maximized under the allocation of joint power and subcarrier criteria, ensuring the achievable target transmission rates

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Summary

Introduction

The concept of simultaneous transformation of information and energy in the field of wireless communication has recently received an upsurge of interest for the researchers. Through this simultaneous wireless information and power transfer (SWIPT), mobile phone users have access to more than just energy but data as well at the same time, which provides huge prospects. In [6], the major problem of efficient energy optimization in the multi-input-single-output (MISO) downlink scheme based on the PS scheme was considered. This method used langrangian relaxation in conjunction with the dinkelbach method, which maximized the energy efficiency under the constraints of EH and signal-to-interference-plus-noise-ratio (SINR)

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