JOURNAL ARTICLE

User scheduling in wireless information and power transfer networks

Abstract

Wireless power transfer has been recognized as a promising energy harvesting technique. The aim of this paper is to characterize the impact of this new energy harvesting concept on user scheduling. Particularly a multi-user cooperative network is considered in this paper, where M source-destination (SD) pairs communicate with each other via an energy harvesting relay. When m = 1, the addressed scheduling problem is mathematically equivalent to relay selection for the scenario with one SD pair and M relays. It is well known that the max-min selection criterion has the capability to achieve the optimal diversity gain, and one important conclusion made in this paper is that the max-min approach can only achieve a diversity gain of M+1/2 in wireless power transfer systems. To compensate for this diversity loss, two user scheduling approaches are proposed in this paper and it is shown that both schemes can achieve larger diversity gains than the max-min approach.

Keywords:
Relay Computer science Scheduling (production processes) Diversity gain Wireless Maximum power transfer theorem Cooperative diversity Information transfer Wireless power transfer Energy harvesting Computer network Outage probability Wireless network Diversity combining Selection (genetic algorithm) Distributed computing Wireless sensor network Energy (signal processing) Power (physics) Mathematical optimization Telecommunications Fading Mathematics Channel (broadcasting)

Metrics

7
Cited By
1.11
FWCI (Field Weighted Citation Impact)
25
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Power Transfer Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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