Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments

Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells...
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Autor*in:	Fernández-López, Víctor [verfasserIn] Pedersen, Klaus I [verfasserIn] Soret, Beatriz [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Interference Mitigation Dominant interferer LTE-Advanced Macro cell Small cell

Übergeordnetes Werk:	Enthalten in: EURASIP journal on wireless communications and networking - Heidelberg : Springer, 2004, 2015(2015), 1 vom: 18. Apr.
Übergeordnetes Werk:	volume:2015 ; year:2015 ; number:1 ; day:18 ; month:04

Links:	Volltext

DOI / URN:	10.1186/s13638-015-0344-z

Katalog-ID:	SPR032044968

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520			\|a Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer.
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matchkey_str	article:16871499:2015----::nefrnehrceiainnmtgtobnftnlssolemc
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allfields	10.1186/s13638-015-0344-z doi (DE-627)SPR032044968 (SPR)s13638-015-0344-z-e DE-627 ger DE-627 rakwb eng 620 004 ASE 53.74 bkl 54.32 bkl Fernández-López, Víctor verfasserin aut Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer. Interference (dpeaa)DE-He213 Mitigation (dpeaa)DE-He213 Dominant interferer (dpeaa)DE-He213 LTE-Advanced (dpeaa)DE-He213 Macro cell (dpeaa)DE-He213 Small cell (dpeaa)DE-He213 Pedersen, Klaus I verfasserin aut Soret, Beatriz verfasserin aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2015(2015), 1 vom: 18. Apr. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2015 year:2015 number:1 day:18 month:04 https://dx.doi.org/10.1186/s13638-015-0344-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.74 ASE 54.32 ASE AR 2015 2015 1 18 04
spelling	10.1186/s13638-015-0344-z doi (DE-627)SPR032044968 (SPR)s13638-015-0344-z-e DE-627 ger DE-627 rakwb eng 620 004 ASE 53.74 bkl 54.32 bkl Fernández-López, Víctor verfasserin aut Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer. Interference (dpeaa)DE-He213 Mitigation (dpeaa)DE-He213 Dominant interferer (dpeaa)DE-He213 LTE-Advanced (dpeaa)DE-He213 Macro cell (dpeaa)DE-He213 Small cell (dpeaa)DE-He213 Pedersen, Klaus I verfasserin aut Soret, Beatriz verfasserin aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2015(2015), 1 vom: 18. Apr. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2015 year:2015 number:1 day:18 month:04 https://dx.doi.org/10.1186/s13638-015-0344-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.74 ASE 54.32 ASE AR 2015 2015 1 18 04
allfields_unstemmed	10.1186/s13638-015-0344-z doi (DE-627)SPR032044968 (SPR)s13638-015-0344-z-e DE-627 ger DE-627 rakwb eng 620 004 ASE 53.74 bkl 54.32 bkl Fernández-López, Víctor verfasserin aut Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer. Interference (dpeaa)DE-He213 Mitigation (dpeaa)DE-He213 Dominant interferer (dpeaa)DE-He213 LTE-Advanced (dpeaa)DE-He213 Macro cell (dpeaa)DE-He213 Small cell (dpeaa)DE-He213 Pedersen, Klaus I verfasserin aut Soret, Beatriz verfasserin aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2015(2015), 1 vom: 18. Apr. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2015 year:2015 number:1 day:18 month:04 https://dx.doi.org/10.1186/s13638-015-0344-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.74 ASE 54.32 ASE AR 2015 2015 1 18 04
allfieldsGer	10.1186/s13638-015-0344-z doi (DE-627)SPR032044968 (SPR)s13638-015-0344-z-e DE-627 ger DE-627 rakwb eng 620 004 ASE 53.74 bkl 54.32 bkl Fernández-López, Víctor verfasserin aut Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer. Interference (dpeaa)DE-He213 Mitigation (dpeaa)DE-He213 Dominant interferer (dpeaa)DE-He213 LTE-Advanced (dpeaa)DE-He213 Macro cell (dpeaa)DE-He213 Small cell (dpeaa)DE-He213 Pedersen, Klaus I verfasserin aut Soret, Beatriz verfasserin aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2015(2015), 1 vom: 18. Apr. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2015 year:2015 number:1 day:18 month:04 https://dx.doi.org/10.1186/s13638-015-0344-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.74 ASE 54.32 ASE AR 2015 2015 1 18 04
allfieldsSound	10.1186/s13638-015-0344-z doi (DE-627)SPR032044968 (SPR)s13638-015-0344-z-e DE-627 ger DE-627 rakwb eng 620 004 ASE 53.74 bkl 54.32 bkl Fernández-López, Víctor verfasserin aut Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer. Interference (dpeaa)DE-He213 Mitigation (dpeaa)DE-He213 Dominant interferer (dpeaa)DE-He213 LTE-Advanced (dpeaa)DE-He213 Macro cell (dpeaa)DE-He213 Small cell (dpeaa)DE-He213 Pedersen, Klaus I verfasserin aut Soret, Beatriz verfasserin aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2015(2015), 1 vom: 18. Apr. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2015 year:2015 number:1 day:18 month:04 https://dx.doi.org/10.1186/s13638-015-0344-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.74 ASE 54.32 ASE AR 2015 2015 1 18 04
language	English
source	Enthalten in EURASIP journal on wireless communications and networking 2015(2015), 1 vom: 18. Apr. volume:2015 year:2015 number:1 day:18 month:04
sourceStr	Enthalten in EURASIP journal on wireless communications and networking 2015(2015), 1 vom: 18. Apr. volume:2015 year:2015 number:1 day:18 month:04
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Interference Mitigation Dominant interferer LTE-Advanced Macro cell Small cell
dewey-raw	620
isfreeaccess_bool	true
container_title	EURASIP journal on wireless communications and networking
authorswithroles_txt_mv	Fernández-López, Víctor @@aut@@ Pedersen, Klaus I @@aut@@ Soret, Beatriz @@aut@@
publishDateDaySort_date	2015-04-18T00:00:00Z
hierarchy_top_id	47265151X
dewey-sort	3620
id	SPR032044968
language_de	englisch
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author	Fernández-López, Víctor
spellingShingle	Fernández-López, Víctor ddc 620 bkl 53.74 bkl 54.32 misc Interference misc Mitigation misc Dominant interferer misc LTE-Advanced misc Macro cell misc Small cell Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments
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topic_title	620 004 ASE 53.74 bkl 54.32 bkl Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments Interference (dpeaa)DE-He213 Mitigation (dpeaa)DE-He213 Dominant interferer (dpeaa)DE-He213 LTE-Advanced (dpeaa)DE-He213 Macro cell (dpeaa)DE-He213 Small cell (dpeaa)DE-He213
topic	ddc 620 bkl 53.74 bkl 54.32 misc Interference misc Mitigation misc Dominant interferer misc LTE-Advanced misc Macro cell misc Small cell
topic_unstemmed	ddc 620 bkl 53.74 bkl 54.32 misc Interference misc Mitigation misc Dominant interferer misc LTE-Advanced misc Macro cell misc Small cell
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title	Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments
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title_full	Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments
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title_sort	interference characterization and mitigation benefit analysis for lte-a macro and small cell deployments
title_auth	Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments
abstract	Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer.
abstractGer	Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer.
abstract_unstemmed	Abstract This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer.
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title_short	Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments
url	https://dx.doi.org/10.1186/s13638-015-0344-z
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Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments

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