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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Esta carta resolve o problema de otimização da eficiência energética para sistemas simultâneos de informação e transferência de energia sem fio (SWIPT) com acesso múltiplo não ortogonal (NOMA), múltiplas entradas e saídas únicas (MISO) e estruturas de divisão de energia, onde cada usuário pode ter diferentes estruturas individuais. requisitos de qualidade de serviço (QoS) sobre informação e energia. O modelo não linear de coleta de energia é usado. Abordagem de otimização alternativa é adotada para encontrar a solução, que mostra um comportamento de convergência rápido. Os resultados da simulação mostram que o esquema proposto tem maior eficiência energética do que a iteração de camada dupla existente e os métodos de maximização de rendimento.
Feng LIU
Shanghai Maritime University
Xianlong CHENG
Shanghai Maritime University
Conggai LI
Shanghai Maritime University
Yanli XU
Shanghai Maritime University
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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
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@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},}
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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 -