WiMAX Lisboa May 2011 - CelPlan Technologies

8/6/2019 WiMAX Lisboa May 2011 - CelPlan Technologies

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Conception, Characterization,Design, Optimization and

Networks

Effective Wireless Network Design

LEONHARD KOROWAJCZUKCelPlan Technologies, Inc.

5/17/2011 1 CelPlan Technologies, Inc


2/23

CelPlan Technologies CelPlanner Suite software

Design

Planning Optimization

Performance

Business Case/ RFP preparation

Vendor Selection

Network Design

Network Optimization

Technology Training

High Level consulting

5/17/2011 CelPlan Technologies, Inc 2


3/23

Wi4Net Division Citywide Video Surveillance Networks for Public Safety

Los Angeles Long Beach

Milwaukee

Reading

McAllen Toledo

Modesto

Taylorsville

Technology (4.9 GHz) Wi-Fi

WiMAX



4/23

Publications White papers

Designing WiMAX Networks available

Designing LTE Networks in preparation

Books Designing cdma2000 Systems

published by Wiley in 2006- 963 pages, available in hard cover, e-book and Kindle

LTE , WiMAX and WLAN Network Design, Optimization andPerformance Analysis

published by Wiley (June 2011)- 750 pages

Books in Preparation:

Smart Grids Network Design Backhaul Network Design

Technology Training Class WiMAX Forum Network Designer Certification Bootcamp



5/23

Why Planning WiMAX is different from 2G and 3G ?

AMC Adaptive Modulation and Coding

Network Capacity is 6 times larger when using 64

QAM then when using QPSK

User location affects significantly capacity

designed with latency, error rates and otherparameters in mind

Services, applications, user location and

equipment have to be modeled in detail

Better RF propagation models are required



6/23

Radio Sensitivity Factors Base SNIR

FEC

Mobility

Symbol Permutation

HARQ Effect

MIMO ReductionFactor with fading

RX Diversity gain

TX Diversity gain


Multiplexing UL Collaborative

MIMO

AAS Beamforming

Conditions Antenna Correlation

Multipath Fading

Modulation

BER

Results Maximum Data Rate

Sensitivity


7/23

Network Capacity Unsatisfied customers are the ones that consume

system capacity

30

35

dBm

Power Control


-5

0

5

10

15

20

25

0 10000 20000 30000 40000 50000 60000Transm

itPower(dBm)-max30

Distance (m) for 20 dB/decade path loss


8/23

Capacity Solutions Limit low data rate users

Smaller cells (300 to 400 m radius for indoor coverage)

Limit by signal level Limit by distance (zoning)

Limit QPSK access

Minimize Interference (frequency and code planning) Segmentation

Zoning

Permutation Look for resource assignment bugs

CPE

Base Station



9/23

Predict Network Performance RF characterization

Fading

Indoor penetration

3 D propagation models

3 D traffic distribution

Dynamic traffic simulation

KPI analysis



10/23

Fading Measurements



11/23

Winter and Summer



12/23

Korowajczuk 3D model Diffraction is considered in the vertical and horizontal planes

Fractional morphology is used (Fresnel zone consideration)

Simultaneous outdoor and indoor prediction

Fading calculated per pixel



13/23

K3D Prediction



14/23

K3D Measurements/Predictions



15/23

Traffic management Users want maximum speed and unrestricted

data plans Radios should always work at maximum data rate

allowed by each connection

-network is congested

Look for multiple IPs

Understand traffic profile

M2M applications can be an issue Reboot offender CPEs



16/23

Automatic Site Location Site choice

according to:

Traffic capability

Availability of LOS

Cost Budget

Revenue


Line of Sight Study

Stop criterion was 99% of maximum

possible traffic using all candidates


17/23

Interference Considerations To do Resource Optimization Software has to know the interferencebetween any pair of sectors

The best way to express interference is as an outage against an SNIR


Uplink Interference from multiple cells


18/23

Dynamic Traffic Simulation Market is modeled throughService Classes Services

Terminals CPE radio

Environment

Sessions are randomlygenerated in proportion to thetraffic layers associated withthem Snapshot


path loss is predictions BTS Radio

Link budget

Scheduler and ResourceManagement algorithms assigncalls, interference is replaced byan average noise rise

Statistics are recorded forsnapshot Served Sessions

Rejected Sessions

Served Traffic

Rejected Traffic

Queued traffic


19/23

KPI AnalysisTraffic Throughput KPI at 75% of Peak Rate (within QPSK coverage area)

Service

Class Code

Class

Name

Peak

Down

(kbps)

Peak Up

(kbps)

Target

Percentag

e of Peak

Rate

Target Rate (Mbps)

Target

Sessions

Percentag

e

Percentage of Sessions

above Target RateStatus

Minimum Throughput

Achieved at Target

Percentage of Sessions

(kbps)

Average Throughput

Achieved (kbps)

DL UL DL UL DL UL DL UL DL UL

c1ID-512k-

256k512 256 75% 384 192 25% 87% 93% PASS PASS 512 256.0 479.2 240.9

c2 ID-768k-384k

768 384 75% 576 288 25% 91% 66% PASS PASS 768 368.7 724.2 319.4

c3ID-1M-

512k1,024 512 75% 768 384 25% 93% 48% PASS PASS 1024 456.1 971.8 377.7

c4ID-2M-

512k2,048 512 75% 1536 384 25% 82% 48% PASS PASS 2048 456.1 1863.0 378.1

c5ID-VoIP-

36k36 36 75% 27 27 25% 100% 100% PASS PASS 36 36.0 36.0 36.0


c6ODLow-

512k-256k512 256 75% 384 192 25% 100% 100% PASS PASS 512 256.0 509.0 254.9

c7ODLow-

768k-384k768 384 75% 576 288 25% 100% 100% PASS PASS 768 384.0 767.4 383.0

c8ODLow-

1M-512k1,024 512 75% 768 384 25% 100% 100% PASS PASS 1024 512.0 1023.6 508.9

c9ODLow-

2M-512k2,048 512 75% 1536 384 25% 100% 100% PASS PASS 2048 512.0 2032.5 508.3

c10ODLow-

VoIP-36k36 36 75% 27 27 25% 100% 100% PASS PASS 36 36.0 36.0 36.0

c11 ODHigh-512k-256k

512 256 75% 384 192 25% 100% 100% PASS PASS 512 256.0 509.1 255.4

c12ODHigh-

768k-384k768 384 75% 576 288 25% 100% 100% PASS PASS 768 383.9 767.4 383.7

c13ODHigh-

1M-512k1,024 512 75% 768 384 25% 100% 100% PASS PASS 1024 512.0 1022.9 511.4

c14ODHigh-

2M-512k2,048 512 75% 1536 384 25% 100% 100% PASS PASS 2045 512.0 2027.7 512.0

c15ODHigh-

VoIP-36k36 36 75% 27 27 25% 100% 100% PASS PASS 36 36.0 36.0 36.0


20/23

Multi floor/environment traffic

distribution

Subscribers

above 20th floor

Subscribers above

10th floor and below

20th floor


Subscribers above4th floor and below

10th floor

Subscribers above

ground level and

below 4th floor


21/23

Applications Video Surveillance

Public safety requires high definition video 24 h

2 Mpixel images at 24 fps can be compressed to 1Mbit/s

Two to four cameras er sector

Directional antennas assure 64 QAM connectivity

Smart Grids

Metering and control requirements

Five nine availability is required for some controlapplications with small latency (< 30 ms)



22/23

Public Video Surveillance Backhaul and cost are issues

Wi-Fi first tier

WiMAX second tier



23/23

Thank You!


WiMAX Lisboa May 2011 - CelPlan Technologies

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