Abstract

The Internet-of-Things (IoT) framework has been considered as an enabler of the smart world where all devices will be deployed with extra-sensory power in order to sense the world as well as communicate with other sensor nodes. As a result, smart devices require more energy. Therefore, energy harvesting (EH) and wireless power transfer (WPT) emerge as a remedy for relieving the battery limitations of wireless devices. In this work, we consider a multi-user amplify-and-forward (AF)-assisted network, wherein multiple source nodes communicate with destination nodes with the help of a relay node. All the source nodes and the relay node have the capability of EH. In addition, to cope with a single point of failure i.e., failure of the relay node due to the lack of transmit power, we consider the WPT from the source nodes to the relay node. For WPT, a dedicated energy control channel is utilized by the source nodes. To maximize the sum rate using a deadline, we adopt a joint approach of power allocation and WPT and formulate an optimization problem under the constraints of the battery as well as energy causality. The formulated problem is non-convex and intractable. In order to make the problem solvable, we utilize a successive convex approximation method. Furthermore, an iterative algorithm based on the dual decomposition technique is investigated to get the optimal power allocation and transfer. Numerical examples are used to illustrate the performance of the proposed iterative algorithm.

Highlights

  • In today’s smart world, wireless communication services are growing in demand exponentially.The Internet-of-Things (IoT) framework has been viewed as an enabler of the smart world

  • An iterative algorithm based on the dual decomposition technique is investigated to get the optimal power allocation and transfer

  • Since relaying schemes are paramount for improving coverage, capacity, and reliability of wireless networks, the lifetime of wireless networks can be enhanced by deploying intermediate energy harvesting (EH) relay nodes, we don’t need to replace the battery sporadically [3,4,5]

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Summary

Introduction

In today’s smart world, wireless communication services are growing in demand exponentially. For transmission reliability, these uncertainties become more challenging for designing EH communication systems In such a scenario, a promising solution has emerged as regards the wireless power transfer (WPT) in an EH relay-assisted network, wherein. In [18], power allocation schemes were designed to maximize the throughput of a dual-hop amplify-and-forward (AF) relay system; while the authors in [19,20]. SWIPT methods have been investigated in [21,22,23,24] None of these aforementioned works has studied joint power allocation and WPT in multi-user AF-assisted relay networks. We consider a multi-user AF assisted network and focus on maximizing the sum rate of the designed framework by jointly optimizing optimal power allocation and transfer.

System Model
Energy Harvesting and Power Transfer Model
Problem Formulation and Transformation
Proposed Power Allocation and Transfer Algorithm
Subproblem Solution
Master Problem
Numerical Results
Conclusions
Full Text
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