Power Beacon Energy Consumption Minimization in Wireless Powered Backscatter Communication Networks
Haohang Yang, Yinghui Ye, Kai Liang, Xiaoli Chu

TL;DR
This paper proposes optimization algorithms to minimize power beacon energy consumption in wireless powered backscatter IoT networks while ensuring throughput, demonstrating significant energy savings over benchmark schemes.
Contribution
It introduces joint optimization methods for power and time allocation in WPBC networks, including dynamic and static power schemes, with proven effectiveness through simulations.
Findings
Dynamic power scheme achieves lowest energy consumption.
Static power scheme outperforms benchmark schemes.
Proposed algorithms effectively reduce PB energy use.
Abstract
Internet-of-Things (IoT) networks are expected to support the wireless connection of massive energy limited IoT nodes. The emerging wireless powered backscatter communications (WPBC) enable IoT nodes to harvest energy from the incident radio frequency signals transmitted by a power beacon (PB) to support their circuit operation, but the energy consumption of the PB (a potentially high cost borne by the network operator) has not been sufficiently studied for WPBC. In this paper, we aim to minimize the energy consumption of the PB while satisfying the throughput requirement per IoT node by jointly optimizing the time division multiple access (TDMA) time slot duration and backscatter reflection coefficient of each IoT node and the PB transmit power per time slot. As the formulated joint optimization problem is non-convex, we transform it into a convex problem by using auxiliary variables,…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Antenna Design and Analysis · Advanced MIMO Systems Optimization
