Ye, Y., Shi, L., Chu, X., Lu, G., & Sun, S. (2022). Mutualistic Cooperative Ambient Backscatter Communications Under Hardware Impairments. IEEE Transactions on Communications, 70(11), 7656–7668. https://doi.org/10.1109/tcomm.2022.3201119
Abstract:
Mutualistic cooperative ambient backscatter communications (AmBC) have been proposed to improve the spectrum and energy efficiencies of Internet-of-Things (IoT) systems,
where a primary link (from a primary transmitter to a primary
receiver) and an AmBC link (from an IoT device to the same
primary receiver) form a mutualism relationship. We note that
hardware impairments (HIs), which are unavoidable in practical
systems and may significantly affect the transmission rates of
the primary and AmBC links and their mutualism relationships,
have been largely ignored in the study of mutualistic cooperative
AmBC networks. In this paper, we study a mutualistic cooperative AmBC network with HIs at all the active transceivers and a
non-linear energy harvesting circuit at each IoT device. We derive
closed-form rate expressions for both the AmBC and primary
links and theoretically prove that the mutualism relationship
between the AmBC and primary links is maintained under HIs,
i.e., the rate of the primary link in the mutualistic cooperative
AmBC network is still higher than that without the AmBC link.
To maximize the weighted sum rate of all links in a cooperative
AmBC network under HIs, we propose two resource allocation
schemes for two scenarios with a single link and multiple AmBC
links, respectively. For the single AmBC link case, we derive
the optimal transmit power of the primary transmitter and the
optimal power reflection coefficient of the IoT device in closed
forms. For the scenario with multiple AmBC links, the weightedsum-rate maximization problem is transformed into a convex one
and solved with convex optimization tools. Computer simulations
validate our theoretical results and that our proposed schemes
outperform the benchmark schemes in terms of the weighted
sum rate.
License type:
Publisher Copyright
Funding Info:
This research is supported by core funding from: I2R
Grant Reference no. : NA
This work was supported by the National Natural Science Foundation of China under Grant 62201451, the Young Talent fund of University Association for Science and Technology in Shaanxi under Grant 20210121, the Scientific Research Program Funded by Shaanxi Provincial Education Department under Grant 22JK0570, and the China Railway First Survey and Design Institute Group Co., LTD. Research Program under Grant 2022KY52ZD(ZNXT)-03