Design and Evaluation of Scheduling Algorithms for LTE ... Evolved Universal Terrestrial Radio...
Transcript of Design and Evaluation of Scheduling Algorithms for LTE ... Evolved Universal Terrestrial Radio...
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Design and Evaluation of Scheduling Algorithms for LTE Femtocells
(Entwurf und Bewertung von Resourcenzuweisungen für LTE Femtozellen)
Vortrag: Maciej Mühleisen, ComNets, RWTH Aachen
Diplomarbeit von Kay Henzel
13.03.2012
Maciej Mühleisen, RWTH Aachen University 1
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Overview
• Introduction and Motivation
• Radio Resource Management Problem
• Radio Resource Assignment Algorithms
• Simulation Scenario and Results
• Summary, Conclusion and Outlook
Maciej Mühleisen, RWTH Aachen University 2
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Introduction
Maciej Mühleisen, RWTH Aachen University 3
Properties of a Femto Access Point (FAP): [1]
• Low power
• Serving small areas
• Operating in licensed spectrum
• Self-organising, self-managing
• IP-Backhaul (DSL)
Two-Tier Femtocell Network
[1] ITU-R WP 5D/195
Standardized by 3GPP: • UMTS: Home Node B (HNB)
• LTE: Home eNode B (HeNB)
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Motivation
Maciej Mühleisen, RWTH Aachen University 4
70% of data traffic originates indoors 50% of voice calls are initiated from inside [2]
[2] G. Mansfield, “Femtocells in the US Market Business Drivers and Consumer Propositions,” Femtocells Europe, ATT, London, U.K., June 2008.
Advantages • Improved indoor coverage • Single radio access technology (RAT) Reduced device complexity Seamless handover • Less power consumption
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Self-Organizing Networks (SON)
Maciej Mühleisen, RWTH Aachen University 5
• Number of femtocells can be very large • Subscriber may switch them on and off frequently • Operator may not be able to access them physically
Approach based on Basic Cognitive Cycle [3]
[3] S. Haykin, Cognitive Radio: Brain-Empowered Wireless Communications. IEEE Journal on Selected Areas in Communications, 23(2): 201-220, 2005
• Uplink: Interference depends on UT positioning
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Maciej Mühleisen, RWTH Aachen University 6
Uplink Femtocell Interference Scenario
Degrees of Freedom:
• How many RBs per UT
• Which Transmission Power
• Which Modulation and Coding Scheme (MCS)
• Which RBs to which UTs
LTE Constraint:
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Maciej Mühleisen, RWTH Aachen University 7
Uplink Femtocell Interference Scenario
Degrees of Freedom:
• How many RBs per UT
• Which Transmission Power
• Which Modulation and Coding Scheme (MCS)
• Which RBs to which UTs
LTE Constraint:
1 1,3
2 4,2
3 6,2
1 1,4
2 5,3
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Radio Resource Management Problem
8 Maciej Mühleisen, RWTH Aachen University
Selecting RBs forming TBs
Link Adaption
Assignment of UTs to TBs
Resource Fairness:
Equal amount of RBs in every TB [4]
[4] 3GPP. Evolved Universal Terrestrial Radio Access (E-UTRA); Further advancements for E-UTRA physical layer aspects TR 36.814, 2010. V9.0
Number of RBs Number of UTs TB sizes
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Radio Resource Management Problem
9 Maciej Mühleisen, RWTH Aachen University
Selecting RBs forming TBs
Link Adaption
Assignment of UTs to TBs
Effective SINR [5] for TB with index t:
SINR Mapping with the invertible “information measure” function
[5] 3GPP-WG3. Effective-SNR Mapping for Modeling Frame Error Rates in Multiple-state Channels. C30-20030429-010
Cell UT TB
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Radio Resource Management Problem
10 Maciej Mühleisen, RWTH Aachen University
Selecting RBs forming TBs
Link Adaption
Assignment of UTs to TBs
Cell Spectral Efficiency:
Optimization:
1,2,2
2,1,1
= 1 : in cell transmits on
dependent on
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Radio Resource Management Problem
11 Maciej Mühleisen, RWTH Aachen University
Reduction to Linear Assignment Problem:
Additional Constraint:
Equal amount of UTs per cell/frame.
Single Interferer from each cell on each
: utility e.g. throughput, SINR
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Radio Resource Assignment Algorithms
12 Maciej Mühleisen, RWTH Aachen University
Two-dimensional algorithms:
Hungarian/Munkres Algorithm - Polynomial time (Operation Research)
Optimal Algorithm:
Multi-dimensional algorithms:
Brute Force
No Optimal Algorithm (NP-hard [6] ):
Heuristics: Greedy Algorithm
Maximum-Regret Algorithm
Number of UTs equals steps Number of Cells equals dimensions
[6] M. Garey and D. Johnson, Computers and Intractability, A Guide to NP-completeness, W.H. Freeman and Company: San Francisco, CA, 1979
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Greedy Algorithm
13 Maciej Mühleisen, RWTH Aachen University
Description: - Locally optimized choices
Example for 2 dimensions:
Step1: Localize maximum uncovered value
Step2: Cover row and column of maximum value
Solution: {15,9} {15} {15,9,1} Sum: 25
Optimal solution: {15,8,7} Sum: 30
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{15}
Maximum-Regret
14 Maciej Mühleisen, RWTH Aachen University
Description: - Maximizes the regret [7]
Example for 2 dimensions:
Step1: Compute row and column regret
Step3: Cover row and column of maximum value
Solution: {15,8} {15,8,7} 30
Optimal solution: {15,8,7} 30
Row regret :
Column regret:
Step2: Localize maximum uncovered regret value and take the higher one
Sum:
Sum:
[7] Loomes, G. and Sugden, R. (1982), ‘Regret theory: An alternative theory of rational choice under uncertainty’, Economic Journal, 92(4), 805–24.
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Simulation Szenario
15 Maciej Mühleisen, RWTH Aachen University
Access to Femtocells: [8]
• Closed Subscriber Group (CSG) cells: Only accessable by members of the CSG • Hybrid cells: Accessible as a CSG cell by members of the CSG and as a normal cell by all other UTs.
Parameter Value
Number of active UTs per cell
2 - 8
Number of cells 2, 3, 4
Inter-cell Edge distance
-100m, -50m, 0m, 50m, 100m
[8] 3GPP TS 32.571 Home Node B (HNB) and Home eNode B (HeNB) management; Type 2 interface concepts and requirements; Release 10
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Simulation Parameter
16 Maciej Mühleisen, RWTH Aachen University
Parameter Value Comment
Duplex Scheme FDD ---
Frequency Band 2500 MHz ---
System Bandwidth 20 MHz (100 RBs) ---
Frame Length 1 ms ---
Pathloss Model InH NLoS Guidelines for evaluation [9]
Traffic Model Full Buffer ---
Adaptive MCS 13 MCSs ---
Transmit Power UT 4.0 dBm (constant per subchannel) ---
Evaluated Sim. Runtime 1s ---
Cell Radius 100m ---
[9] ITU-R. Guidelines for evaluation of radio interface technologies for IMT-advanced m.2135, 2009.
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Results: Two Cell Scenario
Maciej Mühleisen, RWTH Aachen University 17
Comparison of the Strategies to: • Random (Round Robin in Frequency Domain)
• 2 cells • 5 UTs per cell
• CSE increases with inter-cell distance • Strategies merge for increasing inter-cell distance
0.00
2.00
4.00
6.00
8.00
10.00
12.00
-100 -50 0 50 100
Gai
n in
CSE
[%]
Inter-cell edge distance [m]
Greedy
Maximum-Regret
Optimal
overlapping
• Maximum-Regret produces close to optimal results
Inter-cell edge distance [m]
CSE
[bits
/s/H
z/ce
ll]
-150 -100 -50 0 50 100 150
2,0
2,2
2,4
2,6
2,8
3,0
3,2
3,4
3,6
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Fairness Criteria: Cell Edge User Spectral Efficiency (CEUSE)
Results: Multicell
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Comparison of the Strategies to: - Random (Round Robin in Frequency Domain)
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
2 3 4
Gai
n in
CSE
[%]
Number of Cells
Greedy Maximum-Regret Optimal
0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00
2 3 4
CEU
SE [b
it/s/
Hz]
Number of Cells
Greedy Maximum-Regret Optimal Random
• 2, 3, 4 cells • 5 UTs per cell • = -100m
• CSE gain increases with the number of Cells • the worst 5% of users are not served
5% point of the Cumulative Distribution Function (CDF) of the normalized user througput.
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Results
Maciej Mühleisen, RWTH Aachen University 19
Comparison of the Strategies to: - Random (Round Robin in Frequency Domain)
• 2, 3, 4 cells • 5 UTs per cell • = -50m
0.00 2.00 4.00 6.00 8.00
10.00 12.00 14.00 16.00 18.00 20.00
2 3 4
Gai
n in
CSE
[%]
Number of FAPs
Greedy Maximum-Regret Optimal
0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10
2 3 4
CEU
SE [b
it/s/
Hz]
Number of FAPs
Greedy Maximum-Regret Optimal Random
• Cell Edge User suffer from CSE optimization • Maximum-Regret improves fairness for two and three cells.
• CSE gain increases with the number of FAPs
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Summary and Conclusion
Maciej Mühleisen, RWTH Aachen University 20
Summary:
Conclusion:
• Described the challenges of uplink radio resource management • Researched and implemented suitable RRM algorithms • Implemented a central scheduling unit in openWNS Simulator • Evaluated algorithms in openWNS Simulator
• Centralized RRM strategies can significantly increase the CSE (up to 37%). • Achieved CSE gain depends on inter-cell interference power. • CEUSE suffers from maximizing CSE.
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Outlook
Maciej Mühleisen, RWTH Aachen University 21
Outlook:
• Additional RRM algorithms such as Decomposible Costs [10] • Same number of UTs per frame. • Compare against decentralized resource assignment strategies. • Reduction of Interferer: The assignment of the radio resources can be computed partially with the focus
on the strongest interferer.
[10] Approximation algorithms for multi-dimensional assignment problems with decomposable costs. H. Bandelt, Y. Cramab, F. C.R. Spieksma.
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Thank you for your attention! Maciej Mühleisen
Maciej Mühleisen, RWTH Aachen University 22
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Fragen
und Diskussion
Maciej Mühleisen, RWTH Aachen University 23
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Radio Environment / Resource Structure
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Overview – Introduction – Motivation – Problem description – Solution concepts –Workplan
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Runtime: 2FAPs
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Runtime: 3FAPs
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CDF: 3FAPs and 5UTs
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Channel State Information
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Radio Resource Management
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Radio Resource Management Problem
30 Maciej Mühleisen, RWTH Aachen University
Selecting RBs forming TBs
Link Adaption
Assignment of UTs to TBs
Cell Spectral Efficiency:
Constraints:
Optimization: