The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Surat ini menyelesaikan masalah pengoptimuman kecekapan tenaga untuk maklumat wayarles serentak dan sistem pemindahan kuasa (SWIPT) dengan akses berbilang bukan ortogon (NOMA), keluaran tunggal input berbilang (MISO) dan struktur pemisah kuasa, di mana setiap pengguna mungkin mempunyai individu yang berbeza. keperluan kualiti perkhidmatan (QoS) mengenai maklumat dan tenaga. Model penuaian tenaga bukan linear digunakan. Pendekatan pengoptimuman alternatif digunakan untuk mencari penyelesaian, yang menunjukkan tingkah laku penumpuan yang cepat. Keputusan simulasi menunjukkan skim yang dicadangkan mempunyai kecekapan tenaga yang lebih tinggi daripada kaedah lelaran dwi-lapisan dan pemaksimuman pemprosesan sedia ada.
Feng LIU
Shanghai Maritime University
Xianlong CHENG
Shanghai Maritime University
Conggai LI
Shanghai Maritime University
Yanli XU
Shanghai Maritime University
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Salinan
Feng LIU, Xianlong CHENG, Conggai LI, Yanli XU, "Energy Efficiency Optimization for MISO-NOMA SWIPT System with Heterogeneous QoS Requirements" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 2, pp. 159-163, February 2023, doi: 10.1587/transfun.2022EAL2025.
Abstract: This letter solves the energy efficiency optimization problem for the simultaneous wireless information and power transfer (SWIPT) systems with non-orthogonal multiple access (NOMA), multiple input single output (MISO) and power-splitting structures, where each user may have different individual quality of service (QoS) requirements about information and energy. Nonlinear energy harvesting model is used. Alternate optimization approach is adopted to find the solution, which shows a fast convergence behavior. Simulation results show the proposed scheme has higher energy efficiency than existing dual-layer iteration and throughput maximization methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAL2025/_p
Salinan
@ARTICLE{e106-a_2_159,
author={Feng LIU, Xianlong CHENG, Conggai LI, Yanli XU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Energy Efficiency Optimization for MISO-NOMA SWIPT System with Heterogeneous QoS Requirements},
year={2023},
volume={E106-A},
number={2},
pages={159-163},
abstract={This letter solves the energy efficiency optimization problem for the simultaneous wireless information and power transfer (SWIPT) systems with non-orthogonal multiple access (NOMA), multiple input single output (MISO) and power-splitting structures, where each user may have different individual quality of service (QoS) requirements about information and energy. Nonlinear energy harvesting model is used. Alternate optimization approach is adopted to find the solution, which shows a fast convergence behavior. Simulation results show the proposed scheme has higher energy efficiency than existing dual-layer iteration and throughput maximization methods.},
keywords={},
doi={10.1587/transfun.2022EAL2025},
ISSN={1745-1337},
month={February},}
Salinan
TY - JOUR
TI - Energy Efficiency Optimization for MISO-NOMA SWIPT System with Heterogeneous QoS Requirements
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 159
EP - 163
AU - Feng LIU
AU - Xianlong CHENG
AU - Conggai LI
AU - Yanli XU
PY - 2023
DO - 10.1587/transfun.2022EAL2025
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2023
AB - This letter solves the energy efficiency optimization problem for the simultaneous wireless information and power transfer (SWIPT) systems with non-orthogonal multiple access (NOMA), multiple input single output (MISO) and power-splitting structures, where each user may have different individual quality of service (QoS) requirements about information and energy. Nonlinear energy harvesting model is used. Alternate optimization approach is adopted to find the solution, which shows a fast convergence behavior. Simulation results show the proposed scheme has higher energy efficiency than existing dual-layer iteration and throughput maximization methods.
ER -