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[117373]
Title: Performance of a Heuristic Uplink Radio Resource Assignment Algorithm for LTE-Advanced.
Written by: Jairo Alfonso Garcia Luna and Maciej Muehleisen and Kay Henzel
in: <em>ITG-Fachbericht-Mobilkommunikation 2011</em>. (2011).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher: VDE VERLAG GmbH:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: http://pollux.et6.tu-harburg.de/60/
ARXIVID:
PMID:

[www]

Note:

Abstract: LTE-Advanced (LTE-A) proposed by the 3rdGeneration Partnership Project (3GPP) has been accepted by the International Telecommunication Union (ITU) in 2010 as an IMT-Advanced (IMT-A) compliant fourth genera-tion (4G) mobile radio system. As a candidate system it had to prove its performance in terms of cell spectral efficiency, cell edge user spectral efficiency and Voice over IP (VoIP) capacity in predefined scenarios. One of these scenarios is the so called ?Indoor Hotspot? scenario modelling a femto- or picocell deployment where base stations cover a relatively small area but operate in very close proximity. Interference mitigation and radio re-source management in such deployments are challenging tasks. In this work we evaluate the optimal radio resource allocation with focus on maximising the overall system spectral efficiency by scheduling adequate user terminals in the same resources. The results are compared to a proposed heuristic radio resource assignment algorithm as well as to an unoptimised random resource assignment. In addition, the computational effort of all three algorithms is compared to determine their practical application. The influence of the signal to noise and interference ratio (SINR) to data rate mapping used as input for the presented resource assignment algorithms is also evaluated.

[117373]
Title: Performance of a Heuristic Uplink Radio Resource Assignment Algorithm for LTE-Advanced.
Written by: Jairo Alfonso Garcia Luna and Maciej Muehleisen and Kay Henzel
in: <em>ITG-Fachbericht-Mobilkommunikation 2011</em>. (2011).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher: VDE VERLAG GmbH:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: http://pollux.et6.tu-harburg.de/60/
ARXIVID:
PMID:

[www]

Note:

Abstract: LTE-Advanced (LTE-A) proposed by the 3rdGeneration Partnership Project (3GPP) has been accepted by the International Telecommunication Union (ITU) in 2010 as an IMT-Advanced (IMT-A) compliant fourth genera-tion (4G) mobile radio system. As a candidate system it had to prove its performance in terms of cell spectral efficiency, cell edge user spectral efficiency and Voice over IP (VoIP) capacity in predefined scenarios. One of these scenarios is the so called ?Indoor Hotspot? scenario modelling a femto- or picocell deployment where base stations cover a relatively small area but operate in very close proximity. Interference mitigation and radio re-source management in such deployments are challenging tasks. In this work we evaluate the optimal radio resource allocation with focus on maximising the overall system spectral efficiency by scheduling adequate user terminals in the same resources. The results are compared to a proposed heuristic radio resource assignment algorithm as well as to an unoptimised random resource assignment. In addition, the computational effort of all three algorithms is compared to determine their practical application. The influence of the signal to noise and interference ratio (SINR) to data rate mapping used as input for the presented resource assignment algorithms is also evaluated.

[117373]
Title: Performance of a Heuristic Uplink Radio Resource Assignment Algorithm for LTE-Advanced.
Written by: Jairo Alfonso Garcia Luna and Maciej Muehleisen and Kay Henzel
in: <em>ITG-Fachbericht-Mobilkommunikation 2011</em>. (2011).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher: VDE VERLAG GmbH:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: http://pollux.et6.tu-harburg.de/60/
ARXIVID:
PMID:

[www]

Note:

Abstract: LTE-Advanced (LTE-A) proposed by the 3rdGeneration Partnership Project (3GPP) has been accepted by the International Telecommunication Union (ITU) in 2010 as an IMT-Advanced (IMT-A) compliant fourth genera-tion (4G) mobile radio system. As a candidate system it had to prove its performance in terms of cell spectral efficiency, cell edge user spectral efficiency and Voice over IP (VoIP) capacity in predefined scenarios. One of these scenarios is the so called ?Indoor Hotspot? scenario modelling a femto- or picocell deployment where base stations cover a relatively small area but operate in very close proximity. Interference mitigation and radio re-source management in such deployments are challenging tasks. In this work we evaluate the optimal radio resource allocation with focus on maximising the overall system spectral efficiency by scheduling adequate user terminals in the same resources. The results are compared to a proposed heuristic radio resource assignment algorithm as well as to an unoptimised random resource assignment. In addition, the computational effort of all three algorithms is compared to determine their practical application. The influence of the signal to noise and interference ratio (SINR) to data rate mapping used as input for the presented resource assignment algorithms is also evaluated.

[117373]
Title: Performance of a Heuristic Uplink Radio Resource Assignment Algorithm for LTE-Advanced.
Written by: Jairo Alfonso Garcia Luna and Maciej Muehleisen and Kay Henzel
in: <em>ITG-Fachbericht-Mobilkommunikation 2011</em>. (2011).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher: VDE VERLAG GmbH:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: http://pollux.et6.tu-harburg.de/60/
ARXIVID:
PMID:

[www]

Note:

Abstract: LTE-Advanced (LTE-A) proposed by the 3rdGeneration Partnership Project (3GPP) has been accepted by the International Telecommunication Union (ITU) in 2010 as an IMT-Advanced (IMT-A) compliant fourth genera-tion (4G) mobile radio system. As a candidate system it had to prove its performance in terms of cell spectral efficiency, cell edge user spectral efficiency and Voice over IP (VoIP) capacity in predefined scenarios. One of these scenarios is the so called ?Indoor Hotspot? scenario modelling a femto- or picocell deployment where base stations cover a relatively small area but operate in very close proximity. Interference mitigation and radio re-source management in such deployments are challenging tasks. In this work we evaluate the optimal radio resource allocation with focus on maximising the overall system spectral efficiency by scheduling adequate user terminals in the same resources. The results are compared to a proposed heuristic radio resource assignment algorithm as well as to an unoptimised random resource assignment. In addition, the computational effort of all three algorithms is compared to determine their practical application. The influence of the signal to noise and interference ratio (SINR) to data rate mapping used as input for the presented resource assignment algorithms is also evaluated.

[117373]
Title: Performance of a Heuristic Uplink Radio Resource Assignment Algorithm for LTE-Advanced.
Written by: Jairo Alfonso Garcia Luna and Maciej Muehleisen and Kay Henzel
in: <em>ITG-Fachbericht-Mobilkommunikation 2011</em>. (2011).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher: VDE VERLAG GmbH:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: http://pollux.et6.tu-harburg.de/60/
ARXIVID:
PMID:

[www]

Note:

Abstract: LTE-Advanced (LTE-A) proposed by the 3rdGeneration Partnership Project (3GPP) has been accepted by the International Telecommunication Union (ITU) in 2010 as an IMT-Advanced (IMT-A) compliant fourth genera-tion (4G) mobile radio system. As a candidate system it had to prove its performance in terms of cell spectral efficiency, cell edge user spectral efficiency and Voice over IP (VoIP) capacity in predefined scenarios. One of these scenarios is the so called ?Indoor Hotspot? scenario modelling a femto- or picocell deployment where base stations cover a relatively small area but operate in very close proximity. Interference mitigation and radio re-source management in such deployments are challenging tasks. In this work we evaluate the optimal radio resource allocation with focus on maximising the overall system spectral efficiency by scheduling adequate user terminals in the same resources. The results are compared to a proposed heuristic radio resource assignment algorithm as well as to an unoptimised random resource assignment. In addition, the computational effort of all three algorithms is compared to determine their practical application. The influence of the signal to noise and interference ratio (SINR) to data rate mapping used as input for the presented resource assignment algorithms is also evaluated.

[117373]
Title: Performance of a Heuristic Uplink Radio Resource Assignment Algorithm for LTE-Advanced.
Written by: Jairo Alfonso Garcia Luna and Maciej Muehleisen and Kay Henzel
in: <em>ITG-Fachbericht-Mobilkommunikation 2011</em>. (2011).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher: VDE VERLAG GmbH:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: http://pollux.et6.tu-harburg.de/60/
ARXIVID:
PMID:

[www]

Note:

Abstract: LTE-Advanced (LTE-A) proposed by the 3rdGeneration Partnership Project (3GPP) has been accepted by the International Telecommunication Union (ITU) in 2010 as an IMT-Advanced (IMT-A) compliant fourth genera-tion (4G) mobile radio system. As a candidate system it had to prove its performance in terms of cell spectral efficiency, cell edge user spectral efficiency and Voice over IP (VoIP) capacity in predefined scenarios. One of these scenarios is the so called ?Indoor Hotspot? scenario modelling a femto- or picocell deployment where base stations cover a relatively small area but operate in very close proximity. Interference mitigation and radio re-source management in such deployments are challenging tasks. In this work we evaluate the optimal radio resource allocation with focus on maximising the overall system spectral efficiency by scheduling adequate user terminals in the same resources. The results are compared to a proposed heuristic radio resource assignment algorithm as well as to an unoptimised random resource assignment. In addition, the computational effort of all three algorithms is compared to determine their practical application. The influence of the signal to noise and interference ratio (SINR) to data rate mapping used as input for the presented resource assignment algorithms is also evaluated.

[117373]
Title: Performance of a Heuristic Uplink Radio Resource Assignment Algorithm for LTE-Advanced.
Written by: Jairo Alfonso Garcia Luna and Maciej Muehleisen and Kay Henzel
in: <em>ITG-Fachbericht-Mobilkommunikation 2011</em>. (2011).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher: VDE VERLAG GmbH:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: http://pollux.et6.tu-harburg.de/60/
ARXIVID:
PMID:

[www]

Note:

Abstract: LTE-Advanced (LTE-A) proposed by the 3rdGeneration Partnership Project (3GPP) has been accepted by the International Telecommunication Union (ITU) in 2010 as an IMT-Advanced (IMT-A) compliant fourth genera-tion (4G) mobile radio system. As a candidate system it had to prove its performance in terms of cell spectral efficiency, cell edge user spectral efficiency and Voice over IP (VoIP) capacity in predefined scenarios. One of these scenarios is the so called ?Indoor Hotspot? scenario modelling a femto- or picocell deployment where base stations cover a relatively small area but operate in very close proximity. Interference mitigation and radio re-source management in such deployments are challenging tasks. In this work we evaluate the optimal radio resource allocation with focus on maximising the overall system spectral efficiency by scheduling adequate user terminals in the same resources. The results are compared to a proposed heuristic radio resource assignment algorithm as well as to an unoptimised random resource assignment. In addition, the computational effort of all three algorithms is compared to determine their practical application. The influence of the signal to noise and interference ratio (SINR) to data rate mapping used as input for the presented resource assignment algorithms is also evaluated.