Abstract
Device-to-device (D2D) communication requires maximization of throughput of D2D user by efficient transmission power control of D2D users in 5G network. We consider a scenario where D2D users are more than the cellular users and discuss the optimization problem with maximum power and SINR threshold constraints. We formulate the problem as a mixed integer non-linear programming problem, which is NP-hard in general. We propose a solution of this problem with the help of Simulated annealing-based resource allocation and power control (SARAPC) approach. First, we control the transmit power with the help of Brunn-Minkowski theorem and then in the second stage, we optimize the maximum throughput of d2d user with the help of simulated annealing (SA) algorithm. The simulation results show that the proposed power control approach performs better in comparison with the Dinkelbach and Gale-Shapley method by about 12.31 & 18.5%, 12.33 & 26.27% and 12.23 & 21.46%. The customizability of the SARAPCA technique opens up multiple avenues and IoT applications in Agriculture in 5G networks such as Remote sensing, smart farming and water management.
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Acknowledgements
The authors would like to acknowledge the support of Science and Engineering Research Board (SERB-DST), Govt. of India under the Grant EEQ/2019/000010.
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This work is funded by Science and Engineering Research Board (SERB-DST), Govt. of India under the Grant EEQ/2019/000010.
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SC: Conceptualization, Methodology. P: Writing-review & editing. RA: Funding acquisition, Supervision. AKV: Project Administration, Supervision.
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Chandra, S., Prateek, Arya, R. et al. Lebesgue Measures Based Power Control Annealing in 5G D2D Networks Under QoS Constraints for IoT Applications. Wireless Pers Commun 129, 623–639 (2023). https://doi.org/10.1007/s11277-022-10116-2
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DOI: https://doi.org/10.1007/s11277-022-10116-2