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21.05.2013
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Dynamic Spectrum Management
for Multi-Radio Environments
Fabian Quint, Andreas Klein, Hans Schotten
Fachtagung Mobilkommunikation Osnabrück, May 15, 2013
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Lehrstuhl für
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21.05.2013
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Contents
• Motivation
• Dynamic Spectrum Management Concepts
• DSA Algorithm
• Simulator Model
• Analysis of the Results
• Conclusion
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Motivation
• Current wireless technologies are facing limited resources in the frequency domain.
• Today, spectrum is allocated statically due to regulatory constraints.
• Dynamic Spectrum Management (DSM) can increase system performance by managing spectrum in a flexible way.
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DSM Concepts
• Different approaches how to achieve Dynamic Spectrum Access (DSM):
Dynamic Spectrum Management
Dynamic Exclusive Use Model Open Sharing Model Hierarchical Access Model
Spectrum Property Rights Dynamic Spectrum Allocation Spectrum Underlay Spectrum Overlay
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DSM Concepts
• Allow selling and trading of spectrum.
• Freely choose technology.
Dynamic Spectrum Management
Dynamic Exclusive Use Model Open Sharing Model Hierarchical Access Model
Spectrum Property Rights Dynamic Spectrum Allocation Spectrum Underlay Spectrum Overlay
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DSM Concepts
• Dynamic spectrum assignment to different services.
• Exploit spatial and temporal traffic variations.
Dynamic Spectrum Management
Dynamic Exclusive Use Model Open Sharing Model Hierarchical Access Model
Dynamic Spectrum Allocation Spectrum Underlay Spectrum Overlay Spectrum Property Rights
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DSM Concepts
• Open sharing among peer users.
Dynamic Spectrum Management
Dynamic Exclusive Use Model Open Sharing Model Hierarchical Access Model
Dynamic Spectrum Allocation Spectrum Underlay Spectrum Overlay Spectrum Property Rights
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DSM Concepts
• Hierarchical Access with primary and secondary users.
Dynamic Spectrum Management
Dynamic Exclusive Use Model Open Sharing Model Hierarchical Access Model
Dynamic Spectrum Allocation Spectrum Underlay Spectrum Overlay Spectrum Property Rights
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DSM Concepts
• Constrained transmission power.
• Operate below primary users noise floor (UWB).
Dynamic Spectrum Management
Dynamic Exclusive Use Model Open Sharing Model
Dynamic Spectrum Allocation Spectrum Underlay Spectrum Overlay Spectrum Property Rights
Hierarchical Access Model
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DSM Concepts
• Constraint on where and when to transmit.
• Exploit spatial and temporal white spaces.
Dynamic Spectrum Management
Dynamic Exclusive Use Model Open Sharing Model
Dynamic Spectrum Allocation Spectrum Overlay Spectrum Property Rights
Hierarchical Access Model
Spectrum Underlay
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Dynamic Spectrum Allocation
• Contiguous DSA: Contiguous blocks of spectrum are allocated to different RANs.
• Fragmented DSA: Any arbitrary piece of spectrum can be allocated.
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DSA Algorithm
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Simulator Model
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Simulator Model
• Spectrum Allocation based on predefined bandwidth chunks with size of 1.4 and 5 MHz.
• Calculation of interference events based on SEAMCAT methodology.
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Simulator Model
• Quality of bandwidth chunks can be assessed by the introduced Spectrum Quality Indicator (SQI):
• Global and position dependent SQI values are considered to avoid interference.
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Simulator Model
• Parameters Desired RAN LTE Interfering RAN WLAN
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Simulator Model
• Exemplary temporal graph of DSA algorithm:
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Analysis of the Results
• Assess benefit from operator point of view with success rate of bandwidth (BW) allocations:
• And by measuring the user satisfaction:
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Analysis of the Results
• Success rate of chunk allocation for traffic model (HTTP/FTP) scenarios:
• Significant gains through interference avoidance approaches (based on SQI values).
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Analysis of the Results
• User satisfaction for full buffer and 25% base load scenarios:
• Significant gain with shared band usage.
• Impact of SQI consideration is neglectable.
Reference case with disabled shared band
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Conclusion
• A basic temporal DSA algorithm was developed and introduced.
• The interference avoidance techniques based on SQI values showed respectable gain for traffic model scenarios.
• The usage of a shared band results in a significant gain for user experience.