Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

Kishore, Rajalekshmi; Gurugopinath, Sanjeev; Sofotasios, Paschalis C.; Muhaidat, Sami; Al-Dhahir, Naofal

doi:10.1109/tccn.2019.2907090

Cited by 67 publications

(37 citation statements)

References 37 publications

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“…Motivated by previous analysis, this paper addresses how to improve the selection of primary destination. This open problem has not been well studied in [28][29][30][31]. The main findings of the present paper are summarized as follows.…”

Section: Introductionmentioning

confidence: 84%

“…in which the last equation is derived with the help of [35] (Equation (7.813.2)). Thus, with the above results, we then obtain the desired analytical form of OP out R in (28).…”

Section: Appendix C Proof Of Propositionmentioning

confidence: 95%

“…In order to realize high energy and spectrum efficiency, it is possible to integrate AmBC into RF-powered radio networks [21][22][23][24][25][26][27][28][29][30][31]. The authors in [22] presented hybrid backscatter communication for wireless-powered communication networks to intensify transmission coverage and provide uniform rate distribution in the heterogeneous network (HetNet) manner.…”

Section: Introductionmentioning

confidence: 99%

“…They derived formulas of a throughput maximization problem relying on the user location. A novel opportunistic ambient backscatter communication AmBC framework is further studied to implement radio frequency (RF)-powered cognitive radio (CR) networks [28]. They derived analytic expressions in terms of the average energy consumption, the average throughput, and energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Cognitive Relay-Assisted Ambient Backscatter with MRC over Nakagami-m Fading Channels

Nguyen

Lee

2020

Sensors

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This study presents ambient backscatter communication (AmBC) network as a concept of "modulation in the air" that has drawn growing interest by both academia and industry recently. In particular, we investigate and analyze an AmBC system relying on cognitive radio, where the primary destination is equipped with multiple antennas and maximum ratio combining (MRC). A wireless powered relay is necessary to serve both primary and secondary destinations. Benefiting from the surrounding radio frequency (RF) source, the relay can support the backscattering signal. To facilitate the performance analysis of received nodes, this study presents exact closed-form expressions of the outage probability. For comparison, the outage and throughput performance of these nodes are considered in numerical simulation. Taking advantage of the AmBC technology, the impact of the backscatter ratio on system performance is carefully studied considering various other parameters. Simulation results demonstrate the exactness of the derived outage probabilities and show that the optimal throughput performance can be achieved at specific parameters.

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Section: Introductionmentioning

confidence: 84%

“…in which the last equation is derived with the help of [35] (Equation (7.813.2)). Thus, with the above results, we then obtain the desired analytical form of OP out R in (28).…”

Section: Appendix C Proof Of Propositionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Cognitive Relay-Assisted Ambient Backscatter with MRC over Nakagami-m Fading Channels

Nguyen

Lee

2020

Sensors

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“…Recently, the above two technologies, WPCN and Back-Com, have been linked together for effectively inheriting their advantages [15]- [18]. In [15], the authors studied a point-to-point communication network, where the IoT device conveys information to the information fusion via backscattering the received signals or active transmissions.…”

Section: Introductionmentioning

confidence: 99%

Max-Min Throughput in Hybrid of Wireless Powered NOMA and Backscatter Communications

Zhou

2020

IEEE Access

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Discrete practical RF energy harvesting models for wireless communication networks

Tayel

Zakariya

Rabia

et al. 2023

Trans Emerging Tel Tech

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Optimal resource management in wireless communication networks is usually modeled in discrete state space, for example, using Markov decision process. This requires the energy harvesting (EH) model to be discrete. Since the existing discrete EH models in the literature use simple discrete distributions, for example, Bernoulli and Poisson, with no regard to the properties of the EH circuits, the proposed work handles this dilemma by deriving discrete EH models based on the practical continuous radio frequency to direct current (RF‐to‐DC) power conversion models. General closed‐form expressions are derived for the probability density functions of the harvested energy in the case of linear, piecewise linear, and non‐linear EH models. These general closed‐form expressions are applied to some special fading models, for example, the Nakagami‐m$$ m $$ fading model. Simulation results verify the derived models. Moreover, statistical analysis is performed to compare the derived models to other discrete models in the literature. Finally, the derived models are applied to a case study where the effect of the number of discrete EH levels and the importance of the derived models compared to other models in the literature are presented. These comparisons show the deviation in the performance of the discrete models commonly used in the literature from the actual performance when the proposed piecewise linear EH model is used. Based on these comparisons, the proposed models, especially the piecewise linear EH model with an adequate number of segments, are recommended to be used for accurate discrete modeling of the EH process.

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Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

Cited by 67 publications

References 37 publications

Performance Analysis of Cognitive Relay-Assisted Ambient Backscatter with MRC over Nakagami-m Fading Channels

Performance Analysis of Cognitive Relay-Assisted Ambient Backscatter with MRC over Nakagami-m Fading Channels

Max-Min Throughput in Hybrid of Wireless Powered NOMA and Backscatter Communications

Discrete practical RF energy harvesting models for wireless communication networks

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