Opportunistic user selection schemes for energy harvesting-aware cooperative NOMA
As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Nguyen, Thanh-Luan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions - Soroush Karimi Madahi, Seyed ELSEVIER, 2022, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:44 ; year:2021 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.phycom.2020.101258 |
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ELV052740560 |
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| 520 | |a As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. | ||
| 520 | |a As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. | ||
| 650 | 7 | |a NOMA |2 Elsevier | |
| 650 | 7 | |a Relay selection |2 Elsevier | |
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| 700 | 1 | |a Mavromoustakis, Constandinos X. |4 oth | |
| 700 | 1 | |a Mastorakis, George |4 oth | |
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10.1016/j.phycom.2020.101258 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001267.pica (DE-627)ELV052740560 (ELSEVIER)S1874-4907(20)30335-9 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Nguyen, Thanh-Luan verfasserin aut Opportunistic user selection schemes for energy harvesting-aware cooperative NOMA 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. NOMA Elsevier Relay selection Elsevier Energy harvesting Elsevier Do, Dinh-Thuan oth Mavromoustakis, Constandinos X. oth Mastorakis, George oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:44 year:2021 pages:0 https://doi.org/10.1016/j.phycom.2020.101258 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 44 2021 0 |
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10.1016/j.phycom.2020.101258 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001267.pica (DE-627)ELV052740560 (ELSEVIER)S1874-4907(20)30335-9 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Nguyen, Thanh-Luan verfasserin aut Opportunistic user selection schemes for energy harvesting-aware cooperative NOMA 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. NOMA Elsevier Relay selection Elsevier Energy harvesting Elsevier Do, Dinh-Thuan oth Mavromoustakis, Constandinos X. oth Mastorakis, George oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:44 year:2021 pages:0 https://doi.org/10.1016/j.phycom.2020.101258 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 44 2021 0 |
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10.1016/j.phycom.2020.101258 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001267.pica (DE-627)ELV052740560 (ELSEVIER)S1874-4907(20)30335-9 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Nguyen, Thanh-Luan verfasserin aut Opportunistic user selection schemes for energy harvesting-aware cooperative NOMA 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. NOMA Elsevier Relay selection Elsevier Energy harvesting Elsevier Do, Dinh-Thuan oth Mavromoustakis, Constandinos X. oth Mastorakis, George oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:44 year:2021 pages:0 https://doi.org/10.1016/j.phycom.2020.101258 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 44 2021 0 |
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10.1016/j.phycom.2020.101258 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001267.pica (DE-627)ELV052740560 (ELSEVIER)S1874-4907(20)30335-9 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Nguyen, Thanh-Luan verfasserin aut Opportunistic user selection schemes for energy harvesting-aware cooperative NOMA 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. NOMA Elsevier Relay selection Elsevier Energy harvesting Elsevier Do, Dinh-Thuan oth Mavromoustakis, Constandinos X. oth Mastorakis, George oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:44 year:2021 pages:0 https://doi.org/10.1016/j.phycom.2020.101258 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 44 2021 0 |
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10.1016/j.phycom.2020.101258 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001267.pica (DE-627)ELV052740560 (ELSEVIER)S1874-4907(20)30335-9 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Nguyen, Thanh-Luan verfasserin aut Opportunistic user selection schemes for energy harvesting-aware cooperative NOMA 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. NOMA Elsevier Relay selection Elsevier Energy harvesting Elsevier Do, Dinh-Thuan oth Mavromoustakis, Constandinos X. oth Mastorakis, George oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:44 year:2021 pages:0 https://doi.org/10.1016/j.phycom.2020.101258 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 44 2021 0 |
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Enthalten in A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions Amsterdam [u.a.] volume:44 year:2021 pages:0 |
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Enthalten in A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions Amsterdam [u.a.] volume:44 year:2021 pages:0 |
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A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions |
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Nguyen, Thanh-Luan @@aut@@ Do, Dinh-Thuan @@oth@@ Mavromoustakis, Constandinos X. @@oth@@ Mastorakis, George @@oth@@ |
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NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. 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As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. |
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As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. |
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As one of the promising technologies, non-orthogonal multiple access (NOMA) provides high system capacity, low latency, and massive connectivity. NOMA is expected to address several challenges in the fifth-generation (5G) and beyond wireless systems. In this paper, we consider the downlink Internet of Things (IoT) system with grouping user-relying NOMA techniques to improve the performance of the cell-edge user. In particular, we consider maximal harvested energy (MHE) scheme and best cooperative path (BCP) scheme to assist the cell-edge user. In MHE, the relay with highest harvested power is selected for cooperation, whereas the best cooperative path is selected in the BCP scheme. Then, we comprehensively investigate on the basic principles of energy harvesting, enabling relay selection scheme and evaluations of outage probability for these users. Meanwhile, we consider that the optimal performance can be achieved at several values related to power splitting factors of energy harvesting protocol and power allocation factors of NOMA scheme. Finally, yet importantly, we confirm the exactness of derived expressions through Monte-Carlo simulation. |
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