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SWIPT-Assisted Energy Efficiency Optimization in 5G/B5G Cooperative IoT Network

Author

Listed:
  • Maliha Amjad

    (Department of Electrical & Computer Engineering, Wah Campus, COMSATS University Islamabad, Wah Cantonment 47040, Pakistan)

  • Omer Chughtai

    (Department of Electrical & Computer Engineering, Wah Campus, COMSATS University Islamabad, Wah Cantonment 47040, Pakistan)

  • Muhammad Naeem

    (Department of Electrical & Computer Engineering, Wah Campus, COMSATS University Islamabad, Wah Cantonment 47040, Pakistan)

  • Waleed Ejaz

    (Department of Electrical Engineering, Lakehead University, Barrie, ON L4M 3X9, Canada)

Abstract

Resource use in point-to-point and point-to-multipoint communication emerges with the tremendous growth in wireless communication technologies. One of the technologies is wireless power transfer which may be used to provide sufficient resources for energy-constrained networks. With the implication of cooperative communication in 5G/B5G and the Internet of Things (IoT), simultaneous wireless information and power transfer (SWIPT)-assisted energy efficiency and appropriate resource use become challenging tasks. In this paper, multiple IoT-enabled devices are deployed to cooperate with the source node through intermediate/relay nodes powered by radio-frequency (RF) energy. The relay forwards the desired information generated by the source node to the IoT devices with the fusion of decode/amplify processes and charges itself at the same time through energy harvesting technology. In this regard, a problem with throughput, energy efficiency, and joint throughput with user admission maximization is formulated while assuring the useful, practical network constraints, which contemplate the upper/lower bounds of power transmitted by the source node, channel condition, and energy harvesting. The formulated problem is a mixed-integer non-linear problem (MINLP). To solve the formulated problem, the rate of individual IoT-enabled devices (b/s), number of selected IoT devices, and the sum-rate maximization are prosecuted for no-cooperation, cooperation with diversity, and cooperation without diversity. Moreover, a comparison of the outer approximation algorithm (OAA) and mesh adaptive direct search algorithm (MADS) for non-linear optimization with the exhaustive search algorithm is provided. The results with reference to the complexity of the algorithms have also been evaluated which show that 4.68 × 10 − 10 OAA and 7.81 × 10 − 11 MADS as a percent of ESA, respectively. Numerous simulations are carried out to exhibit the usefulness of the analysis to achieve the convergence to ε -optimal solution.

Suggested Citation

  • Maliha Amjad & Omer Chughtai & Muhammad Naeem & Waleed Ejaz, 2021. "SWIPT-Assisted Energy Efficiency Optimization in 5G/B5G Cooperative IoT Network," Energies, MDPI, vol. 14(9), pages 1-25, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2515-:d:544760
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    Citations

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    Cited by:

    1. James Deva Koresh Hezekiah & Karnam Chandrakumar Ramya & Sathya Bama Krishna Radhakrishnan & Vishnu Murthy Kumarasamy & Malathi Devendran & Avudaiammal Ramalingam & Rajagopal Maheswar, 2023. "Review of Next-Generation Wireless Devices with Self-Energy Harvesting for Sustainability Improvement," Energies, MDPI, vol. 16(13), pages 1-15, July.
    2. Shuang Fu & Dailin Jiang, 2023. "Multi-Dimensional Resource Allocation for Throughput Maximization in CRIoT with SWIPT," Energies, MDPI, vol. 16(12), pages 1-21, June.

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