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Royal Institute of Technology Dept. of Signals, Sensors and Systems
Performance and Implementation Aspects of Wireless Indoor Communication Systems with Local Centralization Stefan Pettersson Royal Institute of Technology Dept. of Signals, Sensors and Systems 12/2/2018
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Presentation Outline Introduction Thesis Scope Models and Definitions
Wireless Indoor Communication Radio Resource Management Local Centralization - The Bunch Concept Thesis Scope System Performance System Coexistence Implementation Aspects Models and Definitions Simulation Indoor Scenario Results Conclusions 12/2/2018
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Wireless Indoor Communication
High Speed Internet Access Different services Large User Concentration Dense infrastructure High co-channel interference Multiple Systems Coexistence Radio Resource Management 12/2/2018
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Radio Resource Management
Base Station Strongest Lowest power Channel Random Quality based Fixed Distributed Centralized Can be: Transmitter Power Constant received Quality based 12/2/2018
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Local Centralization The Bunch Concept
Intra-Bunch Centralized Synchronized “Cheap” signaling Inter-Bunch Distributed Unsynchronized “Expensive” signaling CU Central Unit RAU Remote Antenna Unit Local Centralization - Low Complexity 12/2/2018
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The Link Gain Matrix Every RAU transmits its ID on a unique beacon channel 12/2/2018
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Intra-Bunch RRM RAU Selection: Lowest path loss (strongest)
Channel Selection: Sorting methods Feasibility Check: Power Control: 12/2/2018
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Thesis Scope - Efficient RRM
Capabilities for Coexistence High Performance Low Tx-Power Low Complexity Error Insensitivity Interference Avoidance Possible to Implement 12/2/2018
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Improving System Performance
Channel Selection Strategies Random Least-Interfered Most-Interfered Lowest-Number Beamforming Sectoring Downtilting Sort the available channels, use the first feasible one Adjust the antenna pattern to reduce co-channel interference 12/2/2018
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Improving System Performance cont. - Downtilting
The antenna patterns are focused and directed downward HPB is the Half Power Beamwidth 12/2/2018
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Improving System Performance cont. - Sectoring
Reduced co-channel interference Trunking loss No frequency reuse between sectors 12/2/2018
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Coexistence One bunch covering all three floors One bunch covering
one floor 12/2/2018
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Implementation Aspects
Computational Complexity Sector Direction Offset RAU Location Offset 12/2/2018
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Performance Measures and Definitions
Snapshot simulations in the downlink Performance measures: assignment failure rate, nu - The fraction of users that did not get a feasible channel or got a channel that had to low quality flops per allocation attempt - The number of floating point operations needed for an allocation (Matlab) distribution of the transmitter powers Relative traffic load = users/channel/cell Capacity is the load where nu equals 2% 12/2/2018
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Indoor Scenario - Building Layout
Three floors with equal number of RAUs The RAUs are placed at the ceiling level 12/2/2018
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Indoor Scenario cont. - Floor Layout
Meters The Remote Antenna Units are placed in the center of every second office 12/2/2018
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Capacity Comparison for FCA, Distributed, and Bunch Systems
Assignment failure rate Relative traffic load 12/2/2018
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Capacity with Downtilting
Assignment failure rate Relative traffic load Error on p. 40! 12/2/2018
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Results of Sectoring The gain from reduced interference is larger than the trunking loss for small number of sectors FCA and distributed systems gain more than our centralized system More sectors result in lower transmitter powers thus improving the coexisting capability of the bunch system 12/2/2018
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Capability of Coexistence - Capacity Comparison
Assignment failure rate Relative traffic load 12/2/2018
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Reducing Complexity Using Multiple Bunches
Three bunches cover one floor each The assignment failure rate is maintained at two percent 12/2/2018
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Improving Capacity with Sectoring Using Random Channel Selection
Three bunches cover one floor each The assignment failure rate is maintained at two percent 12/2/2018
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RAU Installation Sensitivity
Very small effects of sector rotation offset Large shadow fading reduces the offset impact Small effects of RAU location offset User distribution and floor layout 12/2/2018
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Conclusions The studied bunch system outperforms FCA and distributed systems Sector antennas increase the system capacity and greatly reduce the transmitter powers Local centralization reduces the complexity but also the capacity The capacity loss with multiple bunches can be regained with sectoring The bunch system is insensitive to RAU implementation errors 12/2/2018
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12/2/2018
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Numerical Analysis Snapshot simulations in downlink
Lp [dB] = 37+30log(R)+18.3n((n+2)/(n+1) ) Log-normal shadow fading with 12 dB std. dev. PC dynamic range is 30 dB Orthogonal channels All channels are available at every RAU No mobility n = Tx-Rx distance in # of floors 12/2/2018
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Antenna Pattern - Downtilting
Half Power Beamwidth, HPB: The gain has dropped to half of its center value = 100 degrees = 80 degrees Front-to-Back Ratio, FBR: The gain ratio between the front and back lobe is set to 15 dB 12/2/2018
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Antenna Pattern - Sectoring
Constant antenna gain in front and back lobes The number of available channels are split equally between the sectors Front-to-Back ratio is 15 dB One sector pattern out of four in a four-sector scenario. 12/2/2018
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Capacity with Sector Antennas - One Bunch, One Floor
Assignment failure rate Relative traffic load 12/2/2018
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Tx-Power Distribution with Sectoring - One Bunch, One Floor
Probability Transmitter-Power [dBm] 12/2/2018
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CDF of SIR with Multiple Bunches
Probability SIR [dB] 12/2/2018
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FCA Reuse Pattern Cluster size 4 20 40 60 80 100 10 30 50 Meters
20 40 60 80 100 10 30 50 Meters Floor-1 1 2 3 4 Floor-2 Cluster size 4 12/2/2018
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Sector Direction Offset - No Fading, One Sector
Random direction offset within 350 degrees 12/2/2018
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RAU Location Offset The RAUs are randomly located
within a 7 by 7 meter square 12/2/2018
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RAU Location Offset in an Office
BxyUni = 2+2i 12/2/2018
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Sector Rotation Offset - FCA without Fading
Assignment failure rate Relative traffic load 12/2/2018
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Complexity Comparison - Single Bunch
Flops per allocation attempt Relative traffic load 12/2/2018
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Channel Selection Using External Interference
Assignment failure rate Relative traffic load 12/2/2018
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