Call admission control (JABA-SD = MBA-SD)
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Transcript of Call admission control (JABA-SD = MBA-SD)
Com & Net
Call admission control(JABA-SD = MBA-SD)
May 14, 2002김 영 덕
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Outline Introduction
CAC Review
JABA-SD, MBA-SD Formulation of the burst admission control
Measurement Sub-Layer Scheduling Sub-layer
Optimal Solution Implementation issue Result Considerations
Reference
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Review Call admission control
Preventive congestion control. Typical Condition of decision to accept
New connection dose not affect the QoS of current connection Can provide the QoS requested by the new connection?
CAC schemes Non – Statistical allocation (peak bandwidth allocation) Statistical allocation
Basic components of Admission control
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Introduction Contribution
Formulate the burst admission as an integer programming problem. Optimal burst scheduling algorithm for multiple burst requests Illustration of the importance of interaction between adaptive physical layer and the burst alg
orithm.
CDMA Spreading limit : Increase BW -> Wideband Law of large number -> Burst admission contorl
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Channel model(P layer) Fading Channel model
Fast fading (Rayleigh fading) Slow fading (log-normal fading)
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Adaptive coding & Modulation Adaptive coding
Using CSI(Channel State Information) Variable coding Scheme depending on channel condition
Ex)
Spreading stage Spreading by PN sequence
Tb : bit duration Ts : Symbol duration Tc : Chip duration W : system BW
: Instantaneous bit rate g : spreading gain Overall Processing gain :
Instantaneous Symbol Energy to interference ratio :
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Adaptive coding & Modulation(Cont’d) Relative average bit rate of SCH
Required Tx power ratio
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Formulation Measurement Sub-Layer
Forward Link Measurement Admissible region
Factor of measurement Current cell loading Pk Current forward link loading
Reverse Link Measurement Soft- Handoff Cells
Neighbor cells not in soft -handoff
Admissible region(reverse link)
Factor of measurement Reverse link inteference Reverse pilot strength measureme
nt from soft hand off cells Forward link pilot strength measur
ement reported from mobile user
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Formulation(Cont’d) Scheduling Sub – layer
Objective function System resource utilization Overall system delay
Delay penalty function
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Optimal solution Optimization problem
Contnstraint
Recursive form
Problem solve step Step1 : Resource space partitioning Step2 : Quantization Step3 : Partial Resource allocation Step4 : Termination
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Step I Resource Space Partitioning
Resource space
Define Set
Non overlaping sub space
Completet pattition
:
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Step2/3 Quantization
Quantize non-empty partitions to evaluation of . Define Quantization partition
Partial Resource Allocation
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Step 4 Termination
Resulting optimal allocation
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Sub-optimal Solution Resource Index
Priority Function
Higher priority : Occupy Small system resource & long wait time Iteration start : p=1 where Try to allocate m resource to one of the competing requests accoding ti their priorities. Highest priroity : Iteration Stop :
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Simulation result Base line I : First come First serve Base line II : JABA (Physical layer & Burst admission layer are isolate)
Number of channels available on the forward link withVarying distances from the base-station
Forward link coverage area as a function of number of channels.
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Simulation result(Cont’d)
Average admission probabilities on the reverse link.
Outage probabilities for voice users.
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Consideration Challenging Problem
Additional dimension first investigate the effects of the inter-dependence among new and backlog requests the variations in channel conditions (which may render pre-determined scheduling
decisions obsolete or irrelevant)
Avenue Research to incorporate fairness considerations in making admission control and scheduling
decisions considering incorporating fairness factor