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
A aplicação da teoria do sensor comprimido (CS) a sistemas de acesso múltiplo não ortogonal (NOMA) foi investigada recentemente. Conforme descrito neste artigo, propomos um esquema de seleção de usuário e alocação de energia baseado em CS, de baixa complexidade e com reconhecimento de qualidade de serviço (QoS), com seleção adaptativa de blocos de recursos para sistemas NOMA de downlink, onde o limite de interferência tolerável é projetado matematicamente para atingir um determinado requisito de QoS, sendo relaxado para um limite restrito l1 problema de otimização de norma. O esquema proposto adota dois algoritmos de seleção de blocos de recursos adaptativos (RB) que atribuem RB adequados aos pares de usuários, ou seja, atribuição de canal máximo-mínimo e atribuição de canal oportunista em duas etapas. Os resultados da simulação mostram que o regime proposto é mais eficaz na melhoria da taxa de utilização do que outros regimes de referência, ao mesmo tempo que reduz a complexidade necessária. O requisito de QoS é aproximadamente satisfeito desde que o valor de QoS requerido seja viável.
Tomofumi MAKITA
Kyushu University
Osamu MUTA
Kyushu University
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Tomofumi MAKITA, Osamu MUTA, "Compressed Sensing Based Power Allocation and User Selection with Adaptive Resource Block Selection for Downlink NOMA Systems" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 8, pp. 959-968, August 2022, doi: 10.1587/transcom.2021EBP3173.
Abstract: The application of compressed sensing (CS) theory to non-orthogonal multiple access (NOMA) systems has been investigated recently. As described in this paper, we propose a quality-of-service (QoS)-aware, low-complexity, CS-based user selection and power allocation scheme with adaptive resource block selection for downlink NOMA systems, where the tolerable interference threshold is designed mathematically to achieve a given QoS requirement by being relaxed to a constrained l1 norm optimization problem. The proposed scheme adopts two adaptive resource block (RB) selection algorithms that assign proper RB to user pairs, i.e. max-min channel assignment and two-step opportunistic channel assignment. Simulation results show that the proposed scheme is more effective at improving the user rate than other reference schemes while reducing the required complexity. The QoS requirement is approximately satisfied as long as the required QoS value is feasible.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3173/_p
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@ARTICLE{e105-b_8_959,
author={Tomofumi MAKITA, Osamu MUTA, },
journal={IEICE TRANSACTIONS on Communications},
title={Compressed Sensing Based Power Allocation and User Selection with Adaptive Resource Block Selection for Downlink NOMA Systems},
year={2022},
volume={E105-B},
number={8},
pages={959-968},
abstract={The application of compressed sensing (CS) theory to non-orthogonal multiple access (NOMA) systems has been investigated recently. As described in this paper, we propose a quality-of-service (QoS)-aware, low-complexity, CS-based user selection and power allocation scheme with adaptive resource block selection for downlink NOMA systems, where the tolerable interference threshold is designed mathematically to achieve a given QoS requirement by being relaxed to a constrained l1 norm optimization problem. The proposed scheme adopts two adaptive resource block (RB) selection algorithms that assign proper RB to user pairs, i.e. max-min channel assignment and two-step opportunistic channel assignment. Simulation results show that the proposed scheme is more effective at improving the user rate than other reference schemes while reducing the required complexity. The QoS requirement is approximately satisfied as long as the required QoS value is feasible.},
keywords={},
doi={10.1587/transcom.2021EBP3173},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Compressed Sensing Based Power Allocation and User Selection with Adaptive Resource Block Selection for Downlink NOMA Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 959
EP - 968
AU - Tomofumi MAKITA
AU - Osamu MUTA
PY - 2022
DO - 10.1587/transcom.2021EBP3173
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2022
AB - The application of compressed sensing (CS) theory to non-orthogonal multiple access (NOMA) systems has been investigated recently. As described in this paper, we propose a quality-of-service (QoS)-aware, low-complexity, CS-based user selection and power allocation scheme with adaptive resource block selection for downlink NOMA systems, where the tolerable interference threshold is designed mathematically to achieve a given QoS requirement by being relaxed to a constrained l1 norm optimization problem. The proposed scheme adopts two adaptive resource block (RB) selection algorithms that assign proper RB to user pairs, i.e. max-min channel assignment and two-step opportunistic channel assignment. Simulation results show that the proposed scheme is more effective at improving the user rate than other reference schemes while reducing the required complexity. The QoS requirement is approximately satisfied as long as the required QoS value is feasible.
ER -