use of coordinated multipoint transmission for relaxation of relay link bottlenecks
DESCRIPTION
CoMP applied to enhance backhaul of relays so that overall heterogeneous network performance is improved across the network.TRANSCRIPT
Use of Coordinated Multipoint Transmission forRelaxation of Relay Link Bottlenecks
Beneyam B. Haile, Edward Multafungwa and Jyri HämäläinenDepartment of Communications and NetworkingSchool of Electrical Engineering, Aalto UniversityEspoo Finland
VTC2014-Spring 2014, Seoul, May 19
Outline
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IntroductionRelay link as bottleneckCoMP to relax the bottleneckSimulation scenario, parameters and assumptionsSimulation resultsConclusion
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Introduction(1/2)
Coordination among cells tomitigate/exploite inter-cell interference.
CoMP Techniques:- Joint Processing (Joint transmission, Cell selection)- Coordinated beamforming/scheduling
Different requirments on feedback andbackhaul systems.
Different deployment scenarios in CoNetsand HetNets
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Explosive traffic growth trend is underlying the need for deploying LTE-Advanced enhancments: CoMP, Relays, Carrier Aggregation, Advanced MIMO
CoMP 3GPP TR 36.819
Joint Processing
Coordinated beamforming/scheduling
Introduction(2/2)
Low power eNodeB introduced toenhance coverage and capacitywithin existing macro network.
Self backhauled
Can be used where backhaul isunavailable or costly
End to end performance for RUEsdepends on performance of accessand relay link
Class Cell ID Duplex formatType 1 Yes Inband half duplexType 1a Yes Outband full duplexType 1b Yes Inband full duplexType 2 No Inband full duplex
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Relay 3GPP TR 36.814
Duplexing and Band Usage
Relay link as bottleneck
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End-to-end throughput is commonly limited by the backhaulcapacity.
Ideally:
In Practice:
We propose in this work JT-CoMP to relax the relay link to enhancethe end-to-end throughput for RUEs
JP-CoMP to relax relay link
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Basic coordinated scheduling amongcoordinating cells
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S1: divide the available resources equally
S2: divide the available resources based on the number of RUEs
We apply S1 and S2 both with and without JP-CoMP
When applied without JP-CoMP:
JP-CoMP technique: QCP
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CodebookWhen N=2 and weights arenormalized, QCP resembles precodingmethod standardized in HSPA/LTE.
Simulated deployment scenario
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Three tri-sector macro cells and three celledge deployed RNs
Realistic three-dimensional (3D) building vectors and topographicaldata for a densely settled area, Hanna Nassif in Tanzania
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Simulation parameters and assumptions(1/2)
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Simulation parameters and assumptions(1/2)
Simulation parameters and assumptions(2/2)
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Simulation results: SINR
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Simulation results: End-2-end throughput
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Simulation results: RUE throughput
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Max-min fair throughput scheduling is used.
ConclusionCoMP-enhanced relay deployment is an effective method toimprove RUEs overall performance even with a basic shedulingalgorithms.
Coordination for basic scheduling does not help without theQCP-CoMP
Future work:o Evaluate performance gains considering more efficient schedulingo Study the technique for alternative realistic relay deployment
scenarios
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Thank you for your kind attention!
Further info:Beneyam Haile (Doctoral Researcher) and Edward Mutafungua (PostDoctoral Researcher)Aalto UniversitySchool of Electrical EngineeringDepartment of Communications and NetworkingOtakaari 5A, Espoo, [email protected] and [email protected]: +358 44 2108323 and +358 40 733 3397
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Support Slides
Why Focus on Informal Settlements?• Focus of on informal settlements (slums) in suburban/urban areas
– Emerging markets have fastest slum growth rates; 30-50% of globalurban population in 2030 (UN HABITAT 2007)
– Characterized by very high population density (>4000 people/sq km)and low income (1-3 USD/day)
– Underserved: Limited access to key services (electricity, sanitation,healthcare, broadband etc.)
Kibera, Nairobi, Kenya(pop. 230000 – 1 million, area 2.5 sq km)
Korail, Dhaka, Bangladesh(pop. 120000, area 0.4 sq km)
Dominant path model• Dominant Path Model
– Faster computation time than ray tracing models– Models dominant path between TX and RX pixel– More accurate than COST 231 model in scenarios with strong multipath
propagation– Combination of urban and indoor predictions possible (CNP mode).
• Urban Dominant Path Model (UDP) for outdoor• Indoor Dominant Path Model (IDP) with a higher resolution for indoor• Potentially good choice for urban or densely built suburban scenarios, particularly for
cases with below rooftop transmitters (small cells)
Comparison of different approaches(COST 231, Ray Tracing, DPM)