Energy-Efficient Resource Allocation for OFDMA-based Wireless-Powered Backscatter Communications

Gu, Bowen; Xu, Yongjun; Huang, Chongwen; Hu, Rose Qingyang

doi:10.1109/icc42927.2021.9500839

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…They may complement each other for increasing the data rates and energy utilization while they are used in IoT. Hence, applying BackCom in WPCNs and wirelesspowered backscatter communication networks (WPBCNs) is a very efficient way to exploit the advantages of the HTT mode and the BackCom mode, which have gained extensive attention in academic field, especially in [12][13][14][15][16]. The authors in [12] presented an optimal time resource allocation method to achieve the maximal throughput for WPBCNs.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [12] presented an optimal time resource allocation method to achieve the maximal throughput for WPBCNs. The literatures [13][14][15][16] played an emphasis on optimizing the EE performance of WPBCNs.…”

Section: Introductionmentioning

confidence: 99%

“…It is to be noted that EE is a crucial performance metric in IoT to achieve a better tradeoff between data rates and the overall energy consumption. Due to the characteristics of WPT, the energy cost of WPCNs, especially the energy consumption of the dedicated energy source devices, has drawn a great deal of attention [14,15]. In [17], the authors proposed an EE resource allocation scheme which employed a Dinkelbach-based iterative algorithm to obtain the optimal time allocation, reflection coefficient, and transmit power of the dedicated RF energy source in BackCom networks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Energy Efficiency Maximization in the Wireless-Powered Backscatter Communication Networks with DF Relaying

Zheng

Zhou

2022

Wireless Communications and Mobile Computing

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This paper focuses on the design of an optimal resource allocation scheme to maximize the energy efficiency (EE) in the wireless-powered backscatter communication networks (WPBCN) with decode and forward (DF) relaying. The two different devices are supported to operate in different modes, the harvest-then-transmit (HTT) mode and backscatter communication (BackCom) mode, respectively. In particular, we formulate an optimization problem to maximize system EE by jointly optimizing the transmit power of hybrid access point (H-AP) and the system time resource allocation. To deal with the nonconvex problem, we investigate the characteristics of the EE expression and a variable substitution approach. Then, the optimal power allocation scheme and iterative optimization algorithm were derived for achieving maximum EE. Extensive simulation results have demonstrated that the system EE can be improved about 10% because the proposed scheme provides more flexibility to utilize the resource efficiently by employing the proposed scheme.

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