Flexible Multiple Base Station Association and Activation for Downlink Heterogeneous Networks
This letter shows that the flexible association of possibly multiple base stations (BSs) with each user over multiple frequency bands, along with the joint optimization of BS transmit power that encourages the BSs to turn off at off-peak time, can significantly improve the performance of a downlink...
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| Autor*in: |
Shen, Kaiming [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Übergeordnetes Werk: |
Enthalten in: IEEE signal processing letters - Institute of Electrical and Electronics Engineers ; ID: gnd/1692-5, New York, NY, 19XX, 24(2017), 10, Seite 1498-1502 |
|---|---|
| Übergeordnetes Werk: |
volume:24 ; year:2017 ; number:10 ; pages:1498-1502 |
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| DOI / URN: |
10.1109/LSP.2017.2738027 |
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| 520 | |a This letter shows that the flexible association of possibly multiple base stations (BSs) with each user over multiple frequency bands, along with the joint optimization of BS transmit power that encourages the BSs to turn off at off-peak time, can significantly improve the performance of a downlink heterogeneous wireless cellular network. We propose a gradient projection algorithm for optimizing BS association and an iteratively reweighting scheme together with a novel proximal gradient method for optimizing power in order to find the optimal tradeoff between network utility and power consumption. Simulation results reveal significant performance improvement as compared to the conventional single-BS association. | ||
| 650 | 4 | |a Cellular networks | |
| 650 | 4 | |a Base stations | |
| 650 | 4 | |a group sparsity | |
| 650 | 4 | |a Base station (BS) activation | |
| 650 | 4 | |a Signal processing algorithms | |
| 650 | 4 | |a Approximation algorithms | |
| 650 | 4 | |a Power demand | |
| 650 | 4 | |a proximal gradient method | |
| 650 | 4 | |a BS association | |
| 650 | 4 | |a Downlink | |
| 650 | 4 | |a Optimization | |
| 650 | 4 | |a Computer Science | |
| 650 | 4 | |a Networking and Internet Architecture | |
| 650 | 4 | |a Information Theory | |
| 700 | 1 | |a Liu, Ya-Feng |4 oth | |
| 700 | 1 | |a Ding, David Yiwei |4 oth | |
| 700 | 1 | |a Yu, Wei |4 oth | |
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10.1109/LSP.2017.2738027 doi PQ20171228 (DE-627)OLC1998316378 (DE-599)GBVOLC1998316378 (PRQ)a1031-9a5329c930a2b20f0cb46e03ebf697838c08911e049e2fba261a603b29192400 (KEY)02390256u20170000024001001498flexiblemultiplebasestationassociationandactivatio DE-627 ger DE-627 rakwb eng 53.00 bkl Shen, Kaiming verfasserin aut Flexible Multiple Base Station Association and Activation for Downlink Heterogeneous Networks 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This letter shows that the flexible association of possibly multiple base stations (BSs) with each user over multiple frequency bands, along with the joint optimization of BS transmit power that encourages the BSs to turn off at off-peak time, can significantly improve the performance of a downlink heterogeneous wireless cellular network. We propose a gradient projection algorithm for optimizing BS association and an iteratively reweighting scheme together with a novel proximal gradient method for optimizing power in order to find the optimal tradeoff between network utility and power consumption. Simulation results reveal significant performance improvement as compared to the conventional single-BS association. Cellular networks Base stations group sparsity Base station (BS) activation Signal processing algorithms Approximation algorithms Power demand proximal gradient method BS association Downlink Optimization Computer Science Networking and Internet Architecture Information Theory Liu, Ya-Feng oth Ding, David Yiwei oth Yu, Wei oth Enthalten in Institute of Electrical and Electronics Engineers ; ID: gnd/1692-5 IEEE signal processing letters New York, NY, 19XX 24(2017), 10, Seite 1498-1502 (DE-627)182273075 (DE-600)916964-7 1070-9908 nnns volume:24 year:2017 number:10 pages:1498-1502 http://dx.doi.org/10.1109/LSP.2017.2738027 Volltext http://ieeexplore.ieee.org/document/8007235 http://arxiv.org/abs/1708.02472 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT 53.00 AVZ AR 24 2017 10 1498-1502 |
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Flexible Multiple Base Station Association and Activation for Downlink Heterogeneous Networks |
| abstract |
This letter shows that the flexible association of possibly multiple base stations (BSs) with each user over multiple frequency bands, along with the joint optimization of BS transmit power that encourages the BSs to turn off at off-peak time, can significantly improve the performance of a downlink heterogeneous wireless cellular network. We propose a gradient projection algorithm for optimizing BS association and an iteratively reweighting scheme together with a novel proximal gradient method for optimizing power in order to find the optimal tradeoff between network utility and power consumption. Simulation results reveal significant performance improvement as compared to the conventional single-BS association. |
| abstractGer |
This letter shows that the flexible association of possibly multiple base stations (BSs) with each user over multiple frequency bands, along with the joint optimization of BS transmit power that encourages the BSs to turn off at off-peak time, can significantly improve the performance of a downlink heterogeneous wireless cellular network. We propose a gradient projection algorithm for optimizing BS association and an iteratively reweighting scheme together with a novel proximal gradient method for optimizing power in order to find the optimal tradeoff between network utility and power consumption. Simulation results reveal significant performance improvement as compared to the conventional single-BS association. |
| abstract_unstemmed |
This letter shows that the flexible association of possibly multiple base stations (BSs) with each user over multiple frequency bands, along with the joint optimization of BS transmit power that encourages the BSs to turn off at off-peak time, can significantly improve the performance of a downlink heterogeneous wireless cellular network. We propose a gradient projection algorithm for optimizing BS association and an iteratively reweighting scheme together with a novel proximal gradient method for optimizing power in order to find the optimal tradeoff between network utility and power consumption. Simulation results reveal significant performance improvement as compared to the conventional single-BS association. |
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GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT |
| container_issue |
10 |
| title_short |
Flexible Multiple Base Station Association and Activation for Downlink Heterogeneous Networks |
| url |
http://dx.doi.org/10.1109/LSP.2017.2738027 http://ieeexplore.ieee.org/document/8007235 http://arxiv.org/abs/1708.02472 |
| remote_bool |
false |
| author2 |
Liu, Ya-Feng Ding, David Yiwei Yu, Wei |
| author2Str |
Liu, Ya-Feng Ding, David Yiwei Yu, Wei |
| ppnlink |
182273075 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth |
| doi_str |
10.1109/LSP.2017.2738027 |
| up_date |
2024-07-04T04:46:02.722Z |
| _version_ |
1803622403509583872 |
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|
| score |
7.402089 |