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Power control for interference management gin LTE femto cell
An overview
Zhao Zhao, Thomas KaiserIKT Uni HannoverIKT, Uni Hannover
Presentation OutlineIntroduction to femto cell
I t f bl i LTE f t llInterference problems in LTE femto cell
Power control for interference managementPower control for interference managementdownlink power controlsuplink power controlsadvanced power controls
Preliminar sim lation res ltsPreliminary simulation results
Concluding remarksConcluding remarks
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
2
Why Femto at home?How many mobile phone calls are made at Home?
Mobile Phone Usage in USA 20071 “Femto Cell Market to Reach $630
39%
32%
25%30%35%40%45% Million in 2010” 3
14%
4%
11%
5%10%15%20%25%
58%60%
70%
Mobile Phone Usage at Homein USA2
0%At Home In Transport At Work Traveling Others
39%43%
30%
40%
50%
60%
Femto cell is one promising solutions for mobile coverage at home:
0%
10%
20%
2007 2008 2013(est.)
mobile coverage at home:Reliable communicationEasy installLow price and OPEX
1 – “The Case for Home Base Stations” tech. white paper by Femtoforum, Apr. 11, 20072 – “Mobile Phone Use in the Home is Growing” by David H. Deans, Sep. 29, 20083 – “Mobile market research report” by Infonetics Research, 2007
Seamless handoverNetwork integration
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
3
Femtocell for LTE
eNB- evolved Node B; UE- User Equipment; HeNB- Home evolved Node B;
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
4
Femto cell and spectrum efficiencyWe are running out of spectrum!
Area spectrum efficiency
1214161820
Area spectrum efficiency
02468
1012
GSM EDGE Wimax
WiFi (802.1
1n)
HSDPA LTE Femto
*
bps/Hz per site 0.17 0.33 1.2 2.4 2.88 16.32 18
0
*
Since 1957, the wireless capacity has an approximately million fold increase, 25ximprovement from wider spectrum, 5x improvement from dividing spectrum into smallerslices, 5x improvement by designing better modulation schemes, and a whopping 1600x
* - current industry goals
, p y g g , pp ggain through reduced cell sizes and transmit distance.”2
2 – “Area Spectral Efficiency of Cellular Mobile Radio Systems”, by M. –S Alouini and Andrea Goldsmit, IEEE Trans. Vehic. Tech. Jul. 1999, pp. 1047-66
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
5
What challenges Femtocell will bring?Technical challenges
Interference problems Low cost implementationLow cost implementationNetwork and integrationSeamless handover
Non-technical challengesL ti ditLow operating expenditureSecurity problemsLawful issuesHealth care problems
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
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Interference problems in LTE FemtocellFemtocell number per macro cell is indefiniteFemtocell location can be without planningF t t f LTE i l d iFrequency reuse strategy for LTE is already aggressiveLTE air interfaces: OFDMA in downlink and FC-FDMA in uplinkRestrictions on the functionalities of Home eNBRestrictions on the functionalities of Home eNBImperfect synchronization for FemtocellsPriority issuesPriority issuesClose/Open Connectivity issues
Efforts from both academy and industries: esp. 3gpp ran4, ff wg2
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
7
OFDMA interference pattern in DownlinkNo intra-cell interference – orthogonal resource blocksInter-cell Interference with perfect synchronizationI t ll I t f ith ti i ff t1Inter-cell Interference with timing offset1
( ) 0< t cpl tδ Δ <⎧⎪ 2
( )
sin( ( )/ )( , ) < t
0 2
cp
cpcp cp
l t t TI t l t T t
lT t t T t
ππ
⎧⎪
−Δ⎪Δ = Δ < +⎨⎪⎪ + <Δ < +⎩0 2cp cpT t t T t+ <Δ < +⎩
if is uniformly distributedtΔ
2 3 0
6( )( )
1 0
cp
cp
T tl
T tI l
T l
+⎧=⎪ +⎪= ⎨
⎪2
1 02( ) ( )cp
T lT t lπ
⎪ ≠⎪ +⎩
1 – J-W. Lee, ”Other-Cell Interference Reducing Resource Allocation in OFDM-Based Asynchronous Cellular Systems”, EURASIP Journal on Wireless Comm. and Networking, 2008
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
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Interference Types
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
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How serious are they?Evaluate the influence of different types of interferences
mainly on Link budget study Computer simulationsComputer simulations Field measurementsResults1Interference Types Influence Level Note
Femto-to-Femto Interference in Femto uplink
Moderate Rare to occurTx power limit for Femto UE
Femto-to-Femto Interference in F t d li k
Moderate Adaptive power controlP t d dFemto downlink Prevent dead zones
Macro-to-Femto Interference in Femto downlink
Low Num. of affected users small
Femto to Macro Interference in Moderate potentially Limit Femto UE powerFemto-to-Macro Interference in Macro uplink
Moderate, potentially high
Limit Femto UE power
Macro-to-Femto Interference in Femto uplink
Low Near-far effect
Femto-to-Macro Interference in Macro downlink
High Handover, adaptive Femto BS power control
1 – “Interference Management in OFDMA Femtocells”, Femtoforum WG2 whiter paper, 2009
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
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Power control algorithmsPC algorithms existing in LTE macro cell
Downlinkbasically constanty
UplinkOpen loop – Fractional power controlClosed loop – link SINR measurement and control signaling via DLp g g
PC algorithms for LTE femto cell to developDownlink
t t t itnon-constant transmit power
UplinkOpen loop – modified Fractional power controlCl d l h ti l ll tiClosed loop – may approach optimal power allocation
Advanced PC algorithmsJoint PC with sub-band allocation etc. – additional degrees of freedomCooperative PCCooperative PC
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
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Algorithms for Downlink femto cell PCto mitigate the Femto-to-Macro interference in Downlink1 Based on distance to closet1. Based on distance to closet Macro eNB
Femto eNB’s location is knownfar distance = reduce HeNB power
2 Based on pathloss to closet2. Based on pathloss to closet Macro eNB
measure signal strength of Macro DLg g
3. On detection of victim UEsl t t h d donly protect when needed
if detected, strict HeNB power controlif not detected, soft power control
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
p18/02/2010
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Downlink PC with Connectivity issuesill “cell breathing” raises interference
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
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Further on “cell breathing”
Femtocell expands to unburden “Hot Spot” load
Femtocell shrinks in “Cold Spot”
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
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Algorithms for Uplink femto cell PC – Open LoopConventional Fractional power control
max minmin 1, max ,tPLP P R
γ⎧ ⎫⎡ ⎤⎛ ⎞⎪ ⎪⎢ ⎥= × ⎨ ⎬⎜ ⎟⎢ ⎥
is the power cap (cell specific)
max min, ,tx ilePL −
⎢ ⎥⎨ ⎬⎜ ⎟⎢ ⎥⎝ ⎠⎪ ⎪⎣ ⎦⎩ ⎭
maxPis the fractional factor
Modifications on FPCMacro eNBs adjust of the Femtocells in their vicinity
γ
PMacro eNBs adjust of the Femtocells in their vicinityhigher UL interference -> reduce
Macro eNBs adjust or of the Femtocells in their vicinityis a balancing factor between throughput and system coexistence
maxPmaxP
γγ x ilePL −
is a balancing factor between throughput and system coexistence
Parameter sets proposed by 3GPP RAN41
γ
Parameter set Gamma (γ) PLx-ile
10 MHz bandwidth
5 MHz bandwidth
Set 1 1 112 115
Set 2 0,8 129 1331 – 3GPP R4-091796, May 2009
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
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Algorithms for Uplink femto cell PC – Closed Loopoptimal power controls
interference limited network, e.g. CDMAassign target SIRassign target SIRmeasure current UL SIRfeedback to UE via DL
minimize
subject to ( ) , for
ii
i i
p
SIR iγ≥ ∀
∑pj ( ) ,
variables i iγp
p
γ[ 1] [ ][ ]
ii i
i
p t p tSIR tγ
+ =
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
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Fractional Frequency Reuse with PCTraffic demand on Femtocell is relatively lowOptimal FFR allocation with joint power controlRandomly FFR allocationa do y a oca o
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
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Joint PC and FFRFFR scheme 1 (baseline) FFR scheme 2
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
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Joint PC and FFRFFR scheme 3 FFR scheme 4
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
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Preliminary results 500x Monto Carlo simulation
30
35sum. TX Power vs. Num of Femtos
FFR3 FFR4 FFR1 FFR2
25
Pow
er (d
Bm
)
15
20
aver
age
Sum
TX
P
10
0 50 100 150 200 250 300 350 400 450 5005
Num of Femto BSs
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
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Preliminary results 500x Monto Carlo simulation
4.5
5Outage Probability vs. Num. of Femtos
FFR3 FFR4 FFR1 FFR2
3
3.5
4
abili
ty (%
)
FFR3 FFR4 FFR1 FFR2
1 5
2
2.5
Pow
er O
utag
e P
roba
0.5
1
1.5
0 50 100 150 200 250 300 350 400 450 5000
Num. of Femto BSs
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
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Besides FFR and power control Smart scheduling
Femtocell and Macrocell cooperative schedulingInterference sensing and opportunistic schedulingInterference sensing and opportunistic schedulingTime, frequency, antenna degrees of freedom
Operators indoor band sharingWin-win to all
TDD at UL FDDU li k h l i FDD i t l d dUplink channel in FDD is not always crowdedTDD works well for indoor
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
18/02/2010
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Concluding remarksFemto cell is a promising technology
I t f i f th j bl f f t llInterference is one of the major problems for femto cell
Power control can mitigate some interference but not allPower control can mitigate some interference but not all
Advanced interference mitigations have to be developedAdvanced interference mitigations have to be developed
Lots of works need to be done in experiment and measurementLots of works need to be done in experiment and measurement
PC for interference mgmt in LTE FemtoZhao Zhao, Thomas Kaiser
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Thank you for your attention