Multi-User AF Relay Networks with Power Allocation and Transfer: A Joint Approach

Ramnaresh Yadav, Keshav Singh, Sudip Biswas and Ashwani Kumar
Additional contact information
Ramnaresh Yadav: Department of Electronics & Communication Engineering, IGTUW, Delhi 110006, India
Keshav Singh: School of Electrical & Electronic Engineering, University College Dublin (UCD), Dublin 4, Ireland
Sudip Biswas: Institute for Digital Communications (IDCOM), University of Edinburgh, Edinburgh EH9 3FG, UK
Ashwani Kumar: Department of Electronics & Communication Engineering, IGTUW, Delhi 110006, India

Energies, 2019, vol. 12, issue 16, 1-13

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.

Keywords: energy harvesting; energy transfer; cooperative communication; power allocation strategy; power constraints (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/16/3157/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/16/3157/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:16:p:3157-:d:258287

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().