Pareto-Optimal Resource Allocation in Wireless Powered Networks. Bouzinis, P., S., Vranas, C., K., Papanikolaou, V., K., Diamantoulakis, P., D., Goudos, S., K., & Karagiannidis, G., K. In 2020 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020, pages 1-4, 2020.
doi  abstract   bibtex   
In this paper, the uplink of a wireless-powered network is investigated. More specifically, we focus on simultaneously maximizing the sum-throughput and minimum throughput of the network's users, for the case of non-orthogonal multiple access (NOMA) and time-division multiple access (TDMA), by optimizing the allocated time to energy harvesting and information transmission. Since this problem belongs to the category of multi-objective optimization, we transform it into a singleobjective problem, via the scalarization approach, aiming to obtain the Pareto Front. The proposed methodology facilitates the evaluation of the trade-off between the considered conflicted metrics. Finally, simulation results validate the effectiveness of the proposed methodology and provide useful insights for the network's performance.
@inproceedings{
 title = {Pareto-Optimal Resource Allocation in Wireless Powered Networks},
 type = {inproceedings},
 year = {2020},
 keywords = {Multi-objective optimization (MOO),Non-orthogonal multiple access (NOMA),Pareto front,Wireless powered networks (WPNs)},
 pages = {1-4},
 id = {e47b990d-25d2-31a6-8911-30970fd847de},
 created = {2020-10-30T21:19:07.603Z},
 file_attached = {false},
 profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
 last_modified = {2023-02-11T16:55:12.922Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Bouzinis2020},
 source_type = {INPROCEEDINGS},
 private_publication = {false},
 abstract = {In this paper, the uplink of a wireless-powered network is investigated. More specifically, we focus on simultaneously maximizing the sum-throughput and minimum throughput of the network's users, for the case of non-orthogonal multiple access (NOMA) and time-division multiple access (TDMA), by optimizing the allocated time to energy harvesting and information transmission. Since this problem belongs to the category of multi-objective optimization, we transform it into a singleobjective problem, via the scalarization approach, aiming to obtain the Pareto Front. The proposed methodology facilitates the evaluation of the trade-off between the considered conflicted metrics. Finally, simulation results validate the effectiveness of the proposed methodology and provide useful insights for the network's performance.},
 bibtype = {inproceedings},
 author = {Bouzinis, Pavlos S and Vranas, Christos K and Papanikolaou, Vasilis K and Diamantoulakis, Panagiotis D and Goudos, Sotirios K and Karagiannidis, George K},
 doi = {10.1109/MOCAST49295.2020.9200276},
 booktitle = {2020 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020}
}

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