Uplink Power Control Rule for Uplink Multi-Streams Transmission IEEE 802.16 Presentation Submission Template (Rev. 9) Document Number: IEEE S802.16m-09/1596

Uplink Power Control Rule for Uplink Multi-Streams TransmissionIEEE 802.16 Presentation Submission Template (Rev. 9) Document Number: IEEE S802.16m-09/1596

Date Submitted:2009-07-08

Source: Rongzhen Yang, Apostolos Papathanassiou, E-mail: [email protected]; Wei Guan, Hujun Yin, Yang-seok Choi | [email protected] Corporation Dong-cheol Kim, Wookbong Lee, HanGuy Cho, Jin Sam Kwak [email protected] LG Electronics

Venue:.IEEE 802.16m Session#62, San Francisco, USA Category: AWD comments / Area: Chapter 15.3.9.4 (Uplink Power Control) “Comments on AWD 15.3.9.4 Uplink Power Control” 802.16m amendment working document

Base Contribution:IEEE C802.16m-09/ 1524

Purpose: The analysis to support uplink CSM power control rule in IEEE C802.16m-09/ 1524.

Notice:This document does not represent the agreed views of the IEEE 802.16 Working Group or any of its subgroups. It represents only the views of the participants listed in the “Source(s)” field above. It is offered as a basis for discussion. It is not binding on the contributor(s), who reserve(s) the right to add, amend or withdraw material contained herein.

Release:The contributor grants a free, irrevocable license to the IEEE to incorporate material contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards publication; to copyright in the IEEE’s name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEE’s sole discretion to permit others to reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that

this contribution may be made public by IEEE 802.16.

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Background & Status

• Uplink Tx Power behavior for CSM is rarely discussed in the standard and academic study, options for Power Control PSD decision:– Tx PSD per RB?– Tx PSD per stream?– Tx PSD per MS (or Tx PSD per antenna)?

• It is very straightforward thinking: decrease the Tx power for CSM to keep nearly the same PSD and interference for each RB/sector (Tx PSD per RB).

Power Degrade for CSM (Tx PSD per RB)Pros and Cons

• Pros:– It is very straightforward to keep the IoT level of neighbor BS

• Cons:– The CSM paired AMS is penalized for power degrade.– For low interference and cover limited scenarios, or for inner users in

interference limited scenarios: the MS have much lower interference to neighbor sectors.

For example: 1. Cover Limited & Low Interference Scenarios: two MS transmit with

maximum power for SIMO, and then paired for CSM due to matched channel status, -3dB power degrade their performance and link budget a lot.

2. Inner MS in Interference Limited Scenario: two inner MS have high MCS with very low Tx power for closing to BS, - 3 dB power only degrade their performance a lot but only reduce a little bit of overall interference at neighbor sectors.

Interference Status Discussion for current OLPC algorithm

• SINRMIN is used to guarantee the celledge performance, if MS is limited by this threshold, it means that its SE is kept by using the price of high interference to other sector. Those MS is not suitable to be paired for CSM: more power on the allocated RB will get less SE gain in home sector than SE loss in neighbor sectors (by SMST theory), even not considering the co-channel interference of CSM.

• For the MS with higher SINROPT, the interference to other sectors is lower .

I.E:

Only MS have higher MCS level than SINRMIN are selected for CSM pairing.

rDL

MIN

NSIR

SINR 1),

10(^10max10log10 OPTSINR

Evaluation Setting

• Evaluation based on the high interference scenario defined by PC/LA DG (500m ISD, 3km/h eITU PedB, 1x2 SIMO/CSM, other details in backup)

• CSM Pairing Rules:– Brute Force Algorithm with perfect channel estimation

– CSM Pairing only apply the AMS with MCS level higher than 4 (decided by SINRMIN = 0 dB)

• Performance Evaluation for:– Case 1: power degrade -3 dB from SIMO to CSM

– Case 2: same power level for SIMO/CSM selection

Performance Curve Comparison

0.8 0.9 1 1.1 1.2 1.3 1.4 1.50.02

0.03

0.04

0.05

0.06

0.07

0.08

Sector SE

Cel

l edg

e S

EPerformance comparison

SIMO

CMIMO/SIMO,MCSLimit4,CMIMOBoost0dB

CMIMO/SIMO,MCSLimit4,CMIMOBoost-3dB

For Detail Comparison

CMIMO Selection Probability Comparison

0.2 0.4 0.6 0.8 1.0 0

0.05

0.1

0.15

0.2

0.25

0.3

values

CM

IMO

pro

babi

lity

CMIMO probability for different values of

CMIMO/SIMO,MCSLimit4,CMIMOBoost0dB

CMIMO/SIMO,MCSLimit4,CMIMOBoost-3dB

Detail Comparison of selected performance points

In the high interference scenario, we can see that:• “CSM -3 dB” can keep the same IoT level for the same gamma value (0.8)• “CSM -0 dB” can achieve the same IoT level and similar performance by gamma

value 0.6

Conclusion: • In high interference scenario, for the rule of “CSM -0 dB”, the IoT must to be

controlled by gamma value and CMIMO pairing rules.• “CSM -3 dB” provides the simple way to control IoT but degrades the

performance.

Scheme Gamma Value

Sector SE Celledge SE IoT Mean IoT Std

SIMO Only 0.8 1.2023 0.0404 9.9735 1.0268

CSM -3 dB 0.8 1.2583 0.0417 10.0662 1.0268

CSM -0 dB 0.6 1.2681 0.0446 10.049 1.1388

0 0.2 0.4 0.6 0.8 1.0 1.2 0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

values

CM

IMO

pro

babi

lity


CMIMO/SIMO,CMIMOBoost0dB

CMIMO/SIMO,CMIMOBoost-3dB

0 500 10000

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Throughput(kbps)

CD

F o

f T

hrou

ghpu

t

CDF of User Throughput

SIMO,=1.0

CMIMOBoost=0dB,=0.6

CMIMOBoost=-3dB,=1.0

Evaluation of Lower Interference Case

• One specific scenario (1x4, IMT-Adv InH) is selected for further evaluation:– Low overall interference with much higher MCS level.– Major interference is contributed by celledge MS

Scheme Gamma Value Sector SE Celledge SE IoT Mean IoT Std

SIMO Only 1.0 3.0618 0.1429 4.4131 1.5239

CSM -3 dB 1.0 4.6500 0.1847 4.8008 1.8761

CSM -0 dB 0.6 4.9391 0.2246 4.9461 1.4873

Recommendation• Because:

– Keep PSD per RB for CSM (-3 dB) is a direct and simple way to control interference, but may degrade the inner MS performance;

– Keep PSD per MS for CSM (- 0 dB) will maintain the inner MS performance but require the additional design of CSM pairing algorithm and gamma value changes that increase the complexity;

• One harmonized solution is recommended in Contribution IEEE C802.16m-09_0xxx:

– One signaling parameter in MAC power control message (PMC_RSP) from ABS indicate the power change behavior of CSM for each AMS (beta value).

Here,is set to be zero or one by one bit of MAC power control mode

signaling TNS is the Total Number of Streams in the LRU indicated by UL A-MAP IE. In

case of SU-MIMO, this value shall be set to Mt where Mt is the number of streams for one user. In case of CSM, TNS is the aggregated number of streams. In case of control channel transmission, this value shall be set to one.

)(10log10),10

)((^10max10log10 TNSSINR

dBSINRSINR DLIoT

MINopt

Backup 1:

1x2 Simulation Setting and Details of Performance Result

Uplink SLS Simulation Key Parameters(decided by PCLA DG as PC EMD)

Parameter Value Parameter Value

Carrier frequency (GHz) 2.5 GHz Site to site distance (m) 500m

System bandwidth (MHz) 10 MHz Channel eITU-Ped B, 3km/h

Reuse factor 1 Max power in MS (dBm) 23dBm

Frame duration (Preamble+DL+UL)

5ms Antenna Config 1x2 SIMO

Number of OFDM

symbols in UL Frame18 HARQ On (Max retrans: 4/Sync)

FFT size (tone) 1024 Target PER 0.2

Useful tone 864 Link to system mapping RBIR

Number of LRU 48 Scheduler type PF

LRU type DRUResource Assignment

Block8 LRU

Number of users

per sector10 Penetration loss (dB) 20dB

CMIMO support Yes Control Overhead0 for SE calculation (not

defined yet)

CMIMO/SIMO Switch - CMIMO boost -3dB

- Harq is CMIMO - MCS Limitation 4

CMIMO Probability

0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 0

0.05

0.1

0.15

0.2

0.25

values

CM

IMO

pro

babi

lity


Throughput performance

Gamma

Values

Sector throughput

(in Mbps)

Cell-edge throughput

(in Kbps)Sector SE Cell-Edge SE

0 2.7081 253.44 0.7222 0.0676

0.2 3.2115 253.5304 0.8564 0.0676

0.4 3.8607 253.7111 1.0295 0.0677

0.6 4.3471 229.0447 1.1592 0.0611

0.8 4.7186 156.2744 1.2583 0.0417

1.0 5.0281 125.2292 1.3408 0.0334

1.2 5.2014 97.6715 1.387 0.026

1.4 5.2758 70.9813 1.4069 0.0189

1.6

User throughput CDF

0 500 1000 1500 2000 25000

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

User throughput (in kbps)

CD

FUser throughput distribution for different values of

=0=0.2=0.4=0.6=0.8=1.0=1.2=1.4

IoT CDF

Gamma

Values

Mean IoT

(in dB)

IoT Std

(in dB)

0 6.3425 1.0864

0.2 6.4624 1.1127

0.4 7.1782 1.0856

0.6 8.495 1.0093

0.8 10.0662 1.0268

1.0 11.483 1.065

1.2 13.0718 1.0779

1.4 14.3893 1.1223

1.6

2 4 6 8 10 12 14 16 18 200

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

IoT (in dB)

CD

F

IoT Distribution for different values of

=0

=0.2

=0.4

=0.6

=0.8

=1.0

=1.2

=1.4

MCS distribution

1 2 3 4 5 6 7 8 9 10 11 0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

MCS index

Pro

babi

lity

MCS Distribution for different values of

=0=0.2=0.4=0.6=0.8=1.0=1.2=1.4

FER distribution

1 2 3 4 5 6 7 8 9 10 11 0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

MCS index

FE

RFER Distribution for different values of

=0=0.2=0.4=0.6=0.8=1.0=1.2=1.4

CMIMO/SIMO Switch - CMIMO boost 0dB

- Harq is CMIMO - MCS Limitation 4

CMIMO Probability

0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

values

CM

IMO

pro

babi

lity


Throughput performance

Gamma

Values

Sector throughput

(in Mbps)

Cell-edge throughput

(in Kbps)Sector SE Cell-Edge SE

0

0.2 3.3664 263.4692 0.8977 0.0703

0.4 4.1204 245.254 1.0988 0.0654

0.6 4.7554 167.1891 1.2681 0.0446

0.8 5.1974 106.6888 1.386 0.0285

1.0 5.2895 78.58 1.4105 0.021

1.2 5.343 52.8565 1.4248 0.0141

1.4 5.3464 45.7547 1.4257 0.0122

1.6 5.2044 43.8935 1.3878 0.0117

User throughput CDF

0 500 1000 1500 2000 2500 3000 3500 40000

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

User throughput (in kbps)

CD

FUser throughput distribution for different values of

=0.2=0.4=0.6=0.8=1.0=1.2=1.4=1.6

IoT CDF

Gamma

Values

Mean IoT

(in dB)

IoT Std

(in dB)

0

0.2 6.6655 0.9867

0.4 8.2743 1.0573

0.6 10.049 1.1388

0.8 12.7279 1.1986

1.0 14.8811 1.2758

1.2 16.6125 1.3342

1.4 18.1079 1.3408

1.6 18.967 1.4127

0 5 10 15 20 25 300

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

IoT (in dB)

CD

F

IoT Distribution for different values of

=0.2=0.4=0.6=0.8=1.0=1.2=1.4=1.6

MCS distribution

1 2 3 4 5 6 7 8 9 10 11 0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

MCS index

Pro

babi

lity

MCS Distribution for different values of

=0.2=0.4=0.6=0.8=1.0=1.2=1.4=1.6

FER distribution

1 2 3 4 5 6 7 8 9 10 11 0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

MCS index

FE

RFER Distribution for different values of

=0.2=0.4=0.6=0.8=1.0=1.2=1.4=1.6

Backup 2:

Theory Analysis of SMST Algorithm for CSM

Maximum Sector Throughput Method Derivation (1)Initial Modeling

For one MS:

• Channel Loss: the channel loss (include pathloss and fading) form MS to strong BSs can be measured by preamble signal strength, top N: CL0, CL1, CL2, .. CLN, CL0 is the channel loss to home sector.

• NI (Noise plus Interference): Home and neighbor sectors information are modeled as (NI0, NI1, NI2, …, NIN)

When one MS increases Tx PSD, it will bring SE gain and cause SE loss to neighbor sectors (SU-SISO):

)1

1log(

)1log()1log(

Orig

New

OrigNewgain

SINR

SINR

SINRSINRSE

)1log()1log(

)1

1log()

)(1

)(1log(

))(1log())(1log()(

ii

i

i

i

ii

i

i

i

New

Orig

NewOrigloss

NIS

I

NI

I

INIS

NIS

iSINR

iSINR

iSINRiSINRiSE

PSDPSDPSDNI

CLPSDSINR NewOrig 0

0

00 ,/

)1log(

0

00

0

CLPSD

NI

CLPSD

SEgain

Then, total SE loss is:

N

ilossloss iSESE

1

)(

ii CL

PI

In theory, the Maximum Sector Throughput will be got when

0, PSDSESE lossgain

Maximum Sector Throughput Method Derivation (2)Simplification Assumptions

• One virtual neighbor sector: the channel loss to all neighbor sectors are difficult to be accurately measured in real environment, we assume one virtual neighbor sector that accounts for accumulated downlink interferences

Ni i

eambleT

I

eambleTIDL CL

P

CL

PP

~1

Pr,Pr,,

1

~1

1

Ni iI CL

CL

IDL

HDLDL P

PSIR

,

,H

IDL CL

CLSIR

Then, we can get the Maximum Sector Throughput derivation for SU-SISO system:

11

1 DLarg

SIR

SINRNI

NISINR

IH

IetT

1DLarg SIRSINR etT

Gamma is used as the control factor to control the interference to other sectors

Maximum Sector Throughput Method Derivation (3)SU-MIMO Consideration

Nr receive antenna for ABS:

,

,

,

,,

1log

1

( )1

log log 11

New MRCGain

Orig MRC

r tx tx r tx

H H Ant H

r tx r txH Ant

H H Ant H

SINRSE

SINR

N PSD PSD N PSDCL NI CL

N PSD N PSDNI

CL NI CL

, ,

, ,

, ,,

,

,

, ,

,

11

log log1

1/

log 1

1

r I Ant Noise AntIOrig MRC I AntI

Loss Ir I Ant Noise AntNew MRC

I Ant tx I

tx

I I Ant

r I Ant Noise Ant

I Ant tx

N SNR P

SINR NISE

N SNR PSINRNI PSD CL

PSD

CL NI

N SNR P

NI PSD

, ,

, //

r I Ant Noise Ant

I Ant tx I

I

N SNR P

NI PSD CLCL

rAntIrAntH

AntI

AntHHAntI

AntIrAntII

rAntHH

AnttxAntH

HAntHAntI

AntIrAntII

rAnttx

r

HAntH

AntI

AntI

H

IAntIrAnttx

AntI

AntI

H

IAntIr

H

AnttxrAntH

AntI

AntI

AntIr

IH

H

AnttxrAntH

IAnttxAntI

AntNoiseAntIr

IAnttxAntI

AntNoiseAntIr

AntII

Anttx

H

AnttxrAntH

H

Anttxr

AnttxILossGain

NSIR

SINRNNI

NI

NICLSINR

SINRNNICL

NNICL

PSDSINR

CLNISINR

SINRNNICL

NPSD

N

CLNI

SINR

NI

CL

CLSINRNPSD

SINR

NI

CL

CLSINRN

CL

PSDNNI

NI

SINR

SINRN

CLCL

CL

PSDNNI

CLPSDNI

PSNRN

CLPSDNI

PSNRNNICL

PSD

CL

PSDNNI

CL

PSDN

PSDSESESE

1*

*

11*

1**

*1***

1

*

**1**

*1

****1

***1*

*1

/*

1

/

**

/

**1

**

*

)0(0

DL,,

,

,,

,,

,

,,

,,

,,,

,,

,,,

,

,,

,,

,

,

,,,

,,

,,

,,

,,

,

,

,,

,

,

retT N

SIRSINR1

DLarg

Gamma is used as control factor to control the interference to other sectors

Maximum Sector Throughput Method Derivation (4)MU-MIMO Consideration

Four study cases for consideration: • Home sector SU and virtual neighbor sector SU

(already done for SU-MIMO)• Home sector MU and virtual neighbor sector SU • Home sector SU and virtual neighbor sector MU • Home sector MU and virtual neighbor sector MU

Maximum Sector Throughput Method Derivation (5) Home sector MU and virtual neighbor sector SU

H

AnttxrAntH

H

Anttxr

H

AnttxrAntH

H

Anttxr

MRCOrig

MRCNew

MRCOrig

MRCNewGain

CL

PSDNNI

CL

PSDN

CL

PSDNNI

CL

PSDN

SINR

SINR

SINR

SINRSE

,,

,

2

,,

,

2

,

,

,

,

*

**2

1log*

*

1log

1

1log

1

1log*2

IAnttxAntI

AntNoiseAntIr

IAnttxAntI

AntNoiseAntIr

AntII

Anttx

IAnttxAntI

AntNoiseAntIr

AntI

AntNoiseAntIr

IMRCNew

IMRCOrigI

Loss

CLPSDNI

PSNRN

CLPSDNI

PSNRNNICL

PSD

CLPSDNI

PSNRNNI

PSNRN

SINR

SINRSE

/*2

**

/*2

**1

*

*2

1log

/*2

**1

**1

log1

1log

,,

,,

,,

,,

,

,

,,

,,

,

,,

,

,

rAntIrAntH

AntIAntH

r

HAntH

AntI

AntI

H

IAntIrAnttx

AntI

AntI

AntIr

IH

H

AnttxrAntH

IAnttxAntI

AntNoiseAntIr

IAnttxAntI

AntNoiseAntIr

AntII

Anttx

H

AnttxrAntH

H

Anttxr

AnttxILossGain

NSIR

SINRNNI

NISINR

N

CLNI

SINR

NI

CL

CLSINRNPSD

NI

SINR

SINRN

CLCL

CL

PSDNNI

CLPSDNI

PSNRN

CLPSDNI

PSNRNNICL

PSD

CL

PSDNNI

CL

PSDN

PSDSESESE

1*

*

11*

****1

*1

/*

1

/*2

**

/*2

**1

*

*2

*

**2

)0(0

DL,,

,,

,,

,,,

,

,

,,,

,,

,,

,,

,,

,

,

,,

,

,

Maximum Sector Throughput Method Derivation (6) Home sector SU and virtual neighbor sector MU

H

AnttxrAntH

H

Anttxr

MRCOrig

MRCNew

MRCOrig

MRCNewGain

CL

PSDNNI

CL

PSDN

SINR

SINR

SINR

SINRSE

,,

,

,

,

,

,

*

*

1log

1

1log

1

1log

IAnttxAntI

AntNoiseAntIr

IAnttxAntI

AntNoiseAntIr

AntII

Anttx

IAnttxAntI

AntNoiseAntIr

IAnttxAntI

AntNoiseAntIr

AntII

Anttx

IMRCNew

IMRCOrigI

Loss

CLPSDNI

PSNRN

CLPSDNI

PSNRNNICL

PSD

CLPSDNI

PSNRN

CLPSDNI

PSNRNNICL

PSD

SINR

SINRSE

/

**

/

**1

**2

1log

/

**

/

**1

*1log

1

1log*2

,,

,,

,,

,,

,

,

2

,,

,,

,,

,,

,

,

,

,

AntI

AntI

AntIr

IH

H

AnttxrAntH

IAnttxAntI

AntNoiseAntIr

IAnttxAntI

AntNoiseAntIr

AntII

Anttx

H

AnttxrAntH

H

Anttxr

AnttxILossGain

NI

SINR

SINRN

CLCL

CL

PSDNNI

CLPSDNI

PSNRN

CLPSDNI

PSNRNNICL

PSD

CL

PSDNNI

CL

PSDN

PSDSESESE

,

,

,,,

,,

,,

,,

,,

,

,

,,

,

,

*1

2//*

1

/

**

/

**1

**2

*

*

)0(0

Define , then2/II CLCL

rAntIrAntH

AntIAntH

HAntHAntI

AntIrAntII

rAnttx

HAntHAntI

AntIrAntII

rAnttx

NSIR

SINRNNI

NISINR

CLNISINR

SINRNNICL

NPSD

CLNISINR

SINRNNICL

NPSD

1*

*

11**

2

1

**1**

*2

1*

1

**1**

*1

DL,,

,,

,,

,,,

,,

,,,

Maximum Sector Throughput Method Derivation (7) Home sector MU and virtual neighbor sector MU

Define , then2/II CLCL

H

AnttxrAntH

H

Anttxr

H

AnttxrAntH

H

Anttxr

MRCOrig

MRCNew

MRCOrig

MRCNewGain

CL

PSDNNI

CL

PSDN

CL

PSDNNI

CL

PSDN

SINR

SINR

SINR

SINRSE

,,

,

2

,,

,

2

,

,

,

,

*

**2

1log*

*

1log

1

1log

1

1log*2

IAnttxAntI

AntNoiseAntIr

ItxAntI

AntNoiseAntIr

AntII

tx

IAnttxAntI

AntNoiseAntIr

IAnttxAntI

AntNoiseAntIr

AntII

Anttx

IMRCNew

IMRCOrigI

Loss

CLPSDNI

PSNRN

CLPSDNI

PSNRNNICL

PSD

CLPSDNI

PSNRN

CLPSDNI

PSNRNNICL

PSD

SINR

SINRSE

/*2

**

/*2

**1

**4

1log

/*2

**

/*2

**1

**2

1log1

1log*2

,,

,,

,

,,

,

2

,,

,,

,,

,,

,

,

,

,

AntI

AntI

AntIr

IH

H

AnttxrAntH

IAnttxAntI

AntNoiseAntIr

IAnttxAntI

AntNoiseAntIr

AntII

Anttx

H

AnttxrAntH

H

Anttxr

AnttxILossGain

NI

SINR

SINRN

CLCL

CL

PSDNNI

CLPSDNI

PSNRN

CLPSDNI

PSNRNNICL

PSD

CL

PSDNNI

CL

PSDN

PSDSESESE

,

,

,,,

,,

,,

,,

,,

,

,

,,

,

,

*1

2//*

1

/*2

**

/*2

**1

*

*4

*

**2

)0(0

rAntIrAntH

AntIAntH

HAntHAntI

AntIrAntII

rAnttx

HAntHAntI

AntIrAntII

rAnttx

NSIR

SINRNNI

NISINR

CLNISINR

SINRNNICL

NPSD

CLNISINR

SINRNNICL

NPSD

1*

*

11**

2

1

**1**

*2

1*

1

**1**

*1

DL,,

,,

,,

,,,

,,

,,,

Maximum Sector Throughput Method Derivation (8)MU-MIMO Study Summary

rAntIrAntH

AntIAntH N

SIRSINRNNI

NISINR

1*

*

11* DL

,,

,,

Virtual neighbor Sector

SU:

Virtual neighbor Sector MU:rAntIrAntH

AntIAntH N

SIRSINRNNI

NISINR

1*

*

11**

2

1DL

,,

,,

Conclusions:• For MU-MIMO, same power control formula can be applied

• When AMS, MS perform MU/SU switching, the Tx power should not be changed

• The gamma is used to control interference, if neighbor sectors have higher percentage of MU selection, the gamma value can be decreased to reduce interference

retT N

SIRSINR1

DLarg

Documents

Uplink Power Control Rule for Uplink Multi-Streams Transmission IEEE 802.16 Presentation Submission Template (Rev. 9) Document Number: IEEE S802.16m-09/1596