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Utility-based cooperative resource sharing in symbiotic-radio-aided Internet of Things networks.

Liang, W., Wen, S., Ng, S. X. and Zhang, J., 2023. Utility-based cooperative resource sharing in symbiotic-radio-aided Internet of Things networks. IEEE Internet of Things Journal, 10 (22), 19368-19384.

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FINAL VERSION-2022-12-12.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.


DOI: 10.1109/JIOT.2022.3229089


Symbiotic radio (SR) is a key technique to solve the energy shortage and spectrum limitation of the future Internet of Things (IoT). In the SR-aided IoT networks supporting energy harvesting (EH), we study the cooperation schemes and offloading strategy between the primary users (PUs), IoT devices and the base station (BS) for reasonably allocating the spectrum, power and time resources. Considering the monetary transactions between the PUs and IoT devices, two cooperation schemes, namely the “Preferential Scenario" and the “No-Preferential Scenario", are proposed. In the “Preferential Scenario", based on the final strategy, the IoT devices use the purchased spectrum and power to offload their own tasks to the BS after assisting the cooperative PUs to offload during a certain time slot. Due to the assistance of IoT devices for the PUs, IoT devices enjoy a discount when paying for the purchased spectrum and power. In the “No-Preferential Scenario", the IoT devices and the cooperative PUs offload tasks to the BS together in a certain time slot according to the offloading strategy. The spectrum and power used by the IoT devices are purchased at the original price without a discount. For each scenario, we study the utility maximization problem of the PUs, where the utility of PUs includes the transmission rates and income. The utility based resource sharing algorithm is proposed to obtain an approximately optimal resource allocation scheme. Our simulation results indicate that the proposed algorithm provides good performances for both scenarios, while each scenario applying the proposed algorithm has its own advantages.

Item Type:Article
Uncontrolled Keywords:Internet of Things; symbiotic radio; backscatter communication; energy harvesting; mobile edge computing; offloading strategyTask analysis; Backscatter; Servers; Resource management; Sensors; Radio transmitters
Group:Faculty of Science & Technology
ID Code:37929
Deposited By: Symplectic RT2
Deposited On:20 Dec 2022 12:45
Last Modified:21 May 2024 10:26


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