Spectral Efficient and Energy Aware Clustering in Cellular Networks
The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper anal...
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Gespeichert in:
| Autor*in: |
Kollias, Georgios [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on vehicular technology - New York, NY : IEEE, 1967, 66(2017), 10, Seite 9263-9274 |
|---|---|
| Übergeordnetes Werk: |
volume:66 ; year:2017 ; number:10 ; pages:9263-9274 |
| Links: |
|---|
| DOI / URN: |
10.1109/TVT.2017.2716387 |
|---|
| Katalog-ID: |
OLC1997033607 |
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| 520 | |a The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper analyzes optimal clustering solutions based on device-to-device communications to mitigate partially or completely the need for MNOs to carry out extremely dense RAN deployments. Specifically, a low-complexity algorithm that enables the creation of spectral efficient clusters among users from different cells, denoted as enhanced clustering optimization for resources' efficiency is presented. Due to the imbalance between uplink and downlink traffic, a complementary algorithm, known as clustering algorithm for load balancing, is also proposed to create nonspectral efficient clusters when they result in a capacity increase. Finally, in order to alleviate the energy overconsumption suffered by cluster heads, the clustering energy efficient algorithm (CEEa) is also designed to manage the tradeoff between the capacity enhancement and the early battery drain of some users. Results show that the proposed algorithms increase the network capacity and outperform existing solutions, while, at the same time, CEEa is able to handle the cluster heads energy overconsumption. | ||
| 650 | 4 | |a Cellular networks | |
| 650 | 4 | |a Mobile handsets | |
| 650 | 4 | |a Device-to-device communication | |
| 650 | 4 | |a device-to-device | |
| 650 | 4 | |a Load management | |
| 650 | 4 | |a Algorithm design and analysis | |
| 650 | 4 | |a Clustering algorithms | |
| 650 | 4 | |a clustering | |
| 650 | 4 | |a Radio access networks | |
| 700 | 1 | |a Adelantado, Ferran |4 oth | |
| 700 | 1 | |a Verikoukis, Christos |4 oth | |
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10.1109/TVT.2017.2716387 doi PQ20171125 (DE-627)OLC1997033607 (DE-599)GBVOLC1997033607 (PRQ)i652-262482d2bd83e00f6f998156f664f99defaa6deb7b5ea528e1d5488dc2be797d0 (KEY)0030991520170000066001009263spectralefficientandenergyawareclusteringincellula DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kollias, Georgios verfasserin aut Spectral Efficient and Energy Aware Clustering in Cellular Networks 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper analyzes optimal clustering solutions based on device-to-device communications to mitigate partially or completely the need for MNOs to carry out extremely dense RAN deployments. Specifically, a low-complexity algorithm that enables the creation of spectral efficient clusters among users from different cells, denoted as enhanced clustering optimization for resources' efficiency is presented. Due to the imbalance between uplink and downlink traffic, a complementary algorithm, known as clustering algorithm for load balancing, is also proposed to create nonspectral efficient clusters when they result in a capacity increase. Finally, in order to alleviate the energy overconsumption suffered by cluster heads, the clustering energy efficient algorithm (CEEa) is also designed to manage the tradeoff between the capacity enhancement and the early battery drain of some users. Results show that the proposed algorithms increase the network capacity and outperform existing solutions, while, at the same time, CEEa is able to handle the cluster heads energy overconsumption. Cellular networks Mobile handsets Device-to-device communication device-to-device Load management Algorithm design and analysis Clustering algorithms clustering Radio access networks Adelantado, Ferran oth Verikoukis, Christos oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 66(2017), 10, Seite 9263-9274 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:66 year:2017 number:10 pages:9263-9274 http://dx.doi.org/10.1109/TVT.2017.2716387 Volltext http://ieeexplore.ieee.org/document/7951010 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 66 2017 10 9263-9274 |
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10.1109/TVT.2017.2716387 doi PQ20171125 (DE-627)OLC1997033607 (DE-599)GBVOLC1997033607 (PRQ)i652-262482d2bd83e00f6f998156f664f99defaa6deb7b5ea528e1d5488dc2be797d0 (KEY)0030991520170000066001009263spectralefficientandenergyawareclusteringincellula DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kollias, Georgios verfasserin aut Spectral Efficient and Energy Aware Clustering in Cellular Networks 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper analyzes optimal clustering solutions based on device-to-device communications to mitigate partially or completely the need for MNOs to carry out extremely dense RAN deployments. Specifically, a low-complexity algorithm that enables the creation of spectral efficient clusters among users from different cells, denoted as enhanced clustering optimization for resources' efficiency is presented. Due to the imbalance between uplink and downlink traffic, a complementary algorithm, known as clustering algorithm for load balancing, is also proposed to create nonspectral efficient clusters when they result in a capacity increase. Finally, in order to alleviate the energy overconsumption suffered by cluster heads, the clustering energy efficient algorithm (CEEa) is also designed to manage the tradeoff between the capacity enhancement and the early battery drain of some users. Results show that the proposed algorithms increase the network capacity and outperform existing solutions, while, at the same time, CEEa is able to handle the cluster heads energy overconsumption. Cellular networks Mobile handsets Device-to-device communication device-to-device Load management Algorithm design and analysis Clustering algorithms clustering Radio access networks Adelantado, Ferran oth Verikoukis, Christos oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 66(2017), 10, Seite 9263-9274 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:66 year:2017 number:10 pages:9263-9274 http://dx.doi.org/10.1109/TVT.2017.2716387 Volltext http://ieeexplore.ieee.org/document/7951010 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 66 2017 10 9263-9274 |
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10.1109/TVT.2017.2716387 doi PQ20171125 (DE-627)OLC1997033607 (DE-599)GBVOLC1997033607 (PRQ)i652-262482d2bd83e00f6f998156f664f99defaa6deb7b5ea528e1d5488dc2be797d0 (KEY)0030991520170000066001009263spectralefficientandenergyawareclusteringincellula DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kollias, Georgios verfasserin aut Spectral Efficient and Energy Aware Clustering in Cellular Networks 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper analyzes optimal clustering solutions based on device-to-device communications to mitigate partially or completely the need for MNOs to carry out extremely dense RAN deployments. Specifically, a low-complexity algorithm that enables the creation of spectral efficient clusters among users from different cells, denoted as enhanced clustering optimization for resources' efficiency is presented. Due to the imbalance between uplink and downlink traffic, a complementary algorithm, known as clustering algorithm for load balancing, is also proposed to create nonspectral efficient clusters when they result in a capacity increase. Finally, in order to alleviate the energy overconsumption suffered by cluster heads, the clustering energy efficient algorithm (CEEa) is also designed to manage the tradeoff between the capacity enhancement and the early battery drain of some users. Results show that the proposed algorithms increase the network capacity and outperform existing solutions, while, at the same time, CEEa is able to handle the cluster heads energy overconsumption. Cellular networks Mobile handsets Device-to-device communication device-to-device Load management Algorithm design and analysis Clustering algorithms clustering Radio access networks Adelantado, Ferran oth Verikoukis, Christos oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 66(2017), 10, Seite 9263-9274 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:66 year:2017 number:10 pages:9263-9274 http://dx.doi.org/10.1109/TVT.2017.2716387 Volltext http://ieeexplore.ieee.org/document/7951010 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 66 2017 10 9263-9274 |
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10.1109/TVT.2017.2716387 doi PQ20171125 (DE-627)OLC1997033607 (DE-599)GBVOLC1997033607 (PRQ)i652-262482d2bd83e00f6f998156f664f99defaa6deb7b5ea528e1d5488dc2be797d0 (KEY)0030991520170000066001009263spectralefficientandenergyawareclusteringincellula DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kollias, Georgios verfasserin aut Spectral Efficient and Energy Aware Clustering in Cellular Networks 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper analyzes optimal clustering solutions based on device-to-device communications to mitigate partially or completely the need for MNOs to carry out extremely dense RAN deployments. Specifically, a low-complexity algorithm that enables the creation of spectral efficient clusters among users from different cells, denoted as enhanced clustering optimization for resources' efficiency is presented. Due to the imbalance between uplink and downlink traffic, a complementary algorithm, known as clustering algorithm for load balancing, is also proposed to create nonspectral efficient clusters when they result in a capacity increase. Finally, in order to alleviate the energy overconsumption suffered by cluster heads, the clustering energy efficient algorithm (CEEa) is also designed to manage the tradeoff between the capacity enhancement and the early battery drain of some users. Results show that the proposed algorithms increase the network capacity and outperform existing solutions, while, at the same time, CEEa is able to handle the cluster heads energy overconsumption. Cellular networks Mobile handsets Device-to-device communication device-to-device Load management Algorithm design and analysis Clustering algorithms clustering Radio access networks Adelantado, Ferran oth Verikoukis, Christos oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 66(2017), 10, Seite 9263-9274 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:66 year:2017 number:10 pages:9263-9274 http://dx.doi.org/10.1109/TVT.2017.2716387 Volltext http://ieeexplore.ieee.org/document/7951010 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 66 2017 10 9263-9274 |
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10.1109/TVT.2017.2716387 doi PQ20171125 (DE-627)OLC1997033607 (DE-599)GBVOLC1997033607 (PRQ)i652-262482d2bd83e00f6f998156f664f99defaa6deb7b5ea528e1d5488dc2be797d0 (KEY)0030991520170000066001009263spectralefficientandenergyawareclusteringincellula DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kollias, Georgios verfasserin aut Spectral Efficient and Energy Aware Clustering in Cellular Networks 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper analyzes optimal clustering solutions based on device-to-device communications to mitigate partially or completely the need for MNOs to carry out extremely dense RAN deployments. Specifically, a low-complexity algorithm that enables the creation of spectral efficient clusters among users from different cells, denoted as enhanced clustering optimization for resources' efficiency is presented. Due to the imbalance between uplink and downlink traffic, a complementary algorithm, known as clustering algorithm for load balancing, is also proposed to create nonspectral efficient clusters when they result in a capacity increase. Finally, in order to alleviate the energy overconsumption suffered by cluster heads, the clustering energy efficient algorithm (CEEa) is also designed to manage the tradeoff between the capacity enhancement and the early battery drain of some users. Results show that the proposed algorithms increase the network capacity and outperform existing solutions, while, at the same time, CEEa is able to handle the cluster heads energy overconsumption. Cellular networks Mobile handsets Device-to-device communication device-to-device Load management Algorithm design and analysis Clustering algorithms clustering Radio access networks Adelantado, Ferran oth Verikoukis, Christos oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 66(2017), 10, Seite 9263-9274 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:66 year:2017 number:10 pages:9263-9274 http://dx.doi.org/10.1109/TVT.2017.2716387 Volltext http://ieeexplore.ieee.org/document/7951010 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 66 2017 10 9263-9274 |
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Spectral Efficient and Energy Aware Clustering in Cellular Networks |
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Spectral Efficient and Energy Aware Clustering in Cellular Networks |
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Kollias, Georgios |
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spectral efficient and energy aware clustering in cellular networks |
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Spectral Efficient and Energy Aware Clustering in Cellular Networks |
| abstract |
The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper analyzes optimal clustering solutions based on device-to-device communications to mitigate partially or completely the need for MNOs to carry out extremely dense RAN deployments. Specifically, a low-complexity algorithm that enables the creation of spectral efficient clusters among users from different cells, denoted as enhanced clustering optimization for resources' efficiency is presented. Due to the imbalance between uplink and downlink traffic, a complementary algorithm, known as clustering algorithm for load balancing, is also proposed to create nonspectral efficient clusters when they result in a capacity increase. Finally, in order to alleviate the energy overconsumption suffered by cluster heads, the clustering energy efficient algorithm (CEEa) is also designed to manage the tradeoff between the capacity enhancement and the early battery drain of some users. Results show that the proposed algorithms increase the network capacity and outperform existing solutions, while, at the same time, CEEa is able to handle the cluster heads energy overconsumption. |
| abstractGer |
The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper analyzes optimal clustering solutions based on device-to-device communications to mitigate partially or completely the need for MNOs to carry out extremely dense RAN deployments. Specifically, a low-complexity algorithm that enables the creation of spectral efficient clusters among users from different cells, denoted as enhanced clustering optimization for resources' efficiency is presented. Due to the imbalance between uplink and downlink traffic, a complementary algorithm, known as clustering algorithm for load balancing, is also proposed to create nonspectral efficient clusters when they result in a capacity increase. Finally, in order to alleviate the energy overconsumption suffered by cluster heads, the clustering energy efficient algorithm (CEEa) is also designed to manage the tradeoff between the capacity enhancement and the early battery drain of some users. Results show that the proposed algorithms increase the network capacity and outperform existing solutions, while, at the same time, CEEa is able to handle the cluster heads energy overconsumption. |
| abstract_unstemmed |
The current and envisaged increase of cellular traffic poses new challenges to mobile network operators (MNO), who must densify their radio access networks (RAN) while maintaining low capital expenditure and operational expenditure to ensure long-term sustainability. In this context, this paper analyzes optimal clustering solutions based on device-to-device communications to mitigate partially or completely the need for MNOs to carry out extremely dense RAN deployments. Specifically, a low-complexity algorithm that enables the creation of spectral efficient clusters among users from different cells, denoted as enhanced clustering optimization for resources' efficiency is presented. Due to the imbalance between uplink and downlink traffic, a complementary algorithm, known as clustering algorithm for load balancing, is also proposed to create nonspectral efficient clusters when they result in a capacity increase. Finally, in order to alleviate the energy overconsumption suffered by cluster heads, the clustering energy efficient algorithm (CEEa) is also designed to manage the tradeoff between the capacity enhancement and the early battery drain of some users. Results show that the proposed algorithms increase the network capacity and outperform existing solutions, while, at the same time, CEEa is able to handle the cluster heads energy overconsumption. |
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Spectral Efficient and Energy Aware Clustering in Cellular Networks |
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http://dx.doi.org/10.1109/TVT.2017.2716387 http://ieeexplore.ieee.org/document/7951010 |
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Adelantado, Ferran Verikoukis, Christos |
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