COMNET as a Capacity-Building Partner for Two African Institutions
Mobile broadband development in tz 13 jan 2015
1. Development of Mobile Broadband
Communication in Tanzania
Peter Chitamu (PhD, PrEng, MIEEE, MSAIEE)
Founder, Chairman & Director - Sasatel
Tuesday 13th Jan 2015
2. Outline
• Tanzania Demographics & Tele-Statistics behind
broadband Communications
• Mobile Broadband Services & Connectivity
– Channel
– Tanzania Operating Environments
• Operational Considerations
– Different Standards
– Legacy Infrastructure
– New Initiatives
• Summary
2 Mobile Broadband in Tz – 13 Jan 2014
8. Tanzania Populn Density
From 2012 Census
Only Dar es Salaam and
a few Urban areas have
similarities to European
Markets
8 Mobile Broadband in Tz – 13 Jan 2014
11. Voice vs Data Growth Patterns
• Voice growth much
faster than data
because data requires
new infrastructure end-
to-end
• Data growth relies on
3G/HSDPA/LTE and
accompanying new IP
backhaul
• Faster growth for data
as mass market product
will depend on new
business models
0
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
200520062007200820092010
Telephone Subs
Internet Subs
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
2005 2006 2007 2008 2009 2010
Teledensity
Internet Density
11 Mobile Broadband in Tz – 13 Jan 2014
12. Mobile Broadband is preferred Platform
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
2008 2009 2010
Cable
Fixed Wireless
Mobile Wireless
VSAT
Other Broadband
Source: Report on Internet and Data Services Supply
Side Survey by TCRA, Sept 2010
12 Mobile Broadband in Tz – 13 Jan 2014
13. The Dilemma / Challenge: Scalability
13
Capex
& Opex
per Sub
User Density (Affordability)
GSM, HSDPA,
Mobile WiMax
LTE, Fiber and Cable
All-IP CDMA 2000 1x
EV-DO Rev. A
ViableNot -Viable
Viable
MOQ
MinimumOrderQuantity
Affordability level
Mobile Broadband in Tz – 13 Jan 2014
14. Networks: Capacity Vs Coverage Vs Throughput
14
Capex
& Opex
User Density
Mobile Broadband in Tz – 13 Jan 2014
16. Broadband Services
Data (Internet)Voice
Mobile
Fixed
Individuals and businesses
Phone driven market
Coverage and roaming
(Dual CDMA/GSM)
(GSM Operators)
Fixed Wireless Phones,
PABX for organizations
and large corporate
(PSTN)
Smartphones & Modems
to individuals for private
and business usage.
Speed, coverage and price
(3G, 4G and Wi-Fi)
PTP Microwave, EVDO
Routers, 1x Data, VPN-
connections, (Reliability,
predictability and
speed), High prices (ISPs)
16 Mobile Broadband in Tz – 13 Jan 2014
17. 17
Provided
Service
FDD
especially
Suited for
Symmetrical
Services and
Wide area
coverage
TDD
especially
Suited for
Asymmetrical
Services and
small area
coverage
FDD / TDD
10 kbps 100 kbps 1 Mbps 10 Mbps
Voice
E-mail
Data Base Access
Information Services
Tele-banking
Financial Services
Video Conferencing
Electronic Newspaper
Images / Soundfiles
Tele-shopping
Video Telephony
Question: Why Broadband?
17 Mobile Broadband in Tz – 13 Jan 2014
18. 18
The Future with uncertainty in User Behavior
Telematics
Telematics,
Info Services,
Point of Sale
Email
W W W
File transfer,
Multimedia
0.1 1 10 100 1000 kbytes
10
100
1,000
10,000
100,000
Data volume per subscriber / busy hour
Subscriberspercell
Combination of Circuit and Packet switching requirements
18 Mobile Broadband in Tz – 13 Jan 2014
19. 19
As Dec 2002As Dec 2002
M El-Sayed and J Jaffe, ”A View of Telecomms. Network
Evolution”, IEEE Comms. Mag., Dec 2002, pp. 74-81
Quality of Service (QoS) is an Issue, Requires flexible Network Design
19
20. Broadband services require end-to-end broadband
Connectivity
Radio Access
Network
2G, 3G, 4G, Wi-Fi
Transport
Network
(TDM or IP)
CSN
PSN
PSTN &
Other
Operator
s
Internet
Core
Network
Range, Rate
& Capacity
Efficiency in
Multiplexing
Provisioning
& AAA
20
Microwave
Cable
Satellite
Optical Fiber
Mobile Broadband in Tz – 13 Jan 2014
22. 22
Shannon-Hartley Theorem
• Upper limit that can be reached
–Reliable transmission rate over AWGN
channels
• Exchange of signal-to-noise ratio for
bandwidth
• Noiseless channel has infinite capacity
• Power P = EbRb
sec/1log1log 22 bits
BN
P
B
N
SBC
O
12 )/(
BC
O
bb
BN
RE
N
S
22 Mobile Broadband in Tz – 13 Jan 2014
23. Last Mile Channel characteristics is
Key to deliver Mobile Broadband Services
Data
input
Data
output
MODULA-
TOR
2. Multiple
Access
ENCODER
DECODER
DEMODU-
LATOR
1. Noise &
Interference
Channel
1. Satellite
2. Mobile Radio
3. Coaxial Cable
4. Fibre Optic
5. Twisted pair
6. Wireless
S/N for Analogue
Eb/No for Digital
systems
Shapping, channel
& BER performance
Application,
& data rate
BER
performance
23 Mobile Broadband in Tz – 13 Jan 2014
24. Data Encoding for Mobile Broadband
Source
Coding Channel
Coding
Representation of
Source data in a
Specific format e.g.
ADPCM, MPEG, JPEG, SB
C, etc
Prepare info to
Match Channel
Characteristics e.g.
Line, Codes, FEC,
Adaptive Modulation,
etc
Noise
&
Interference
Media
(Mobile Channel)
24 Mobile Broadband in Tz – 13 Jan 2014
26. Multipath is the single biggest problem for
Mobile Broadband
• Operating frequency
– Lower frequency better
coverage
• Diffraction
– Receiving behind
obstacle
• Reflections (Multipath)
– Receiving multiple
copies of same signal
• Scattering
26 Mobile Broadband in Tz – 13 Jan 2014
27. Effect of Multipath
23
exp,][, n
njnECPE
23
1
,, exp][
n
nnC jEPE
Non-Coherent Vector Sum
Coherent Vector Sum
Delay (s)
Real
0
Coherent Vector sum
1
2
3
2
3
I II III
Delay
Resolution
1 2
3
Imaginary
Real
0
(Fading)
Delay ( λ)
27 Mobile Broadband in Tz – 13 Jan 2014
28. Multipath Fades
x1(t) + x2(t)
x t t
x t t
where
C
C
1
1
0 180
( ) sin( )
( ) sin( )
0 45 90 135 180
0
0.5
1
1.5
2
Phase Difference [ degrees ]
Effect of phase difference
CDMA handles this situation better than other mobile networks
Using RAKE receiver and other techniques
28 Mobile Broadband in Tz – 13 Jan 2014
30. Propagation Measurement
Radio coverage and data rates degrade quickly (exponentially) due to
impact of terrain hence important to carry out Techno-economic evaluations
Pathloss exponent changes from 4.2 to 4.3 gives huge swings in profitability
in Rural areas
30 Mobile Broadband in Tz – 13 Jan 2014
31. 31
Hilly & Flat areas
31 Mobile Broadband in Tz – 13 Jan 2014
Ngudu, MwanzaUSA River, Arusha
38. Source: M. Taferner & E. Bonek, Wireless Internet Access over GSM and UMTS, Springer
Europe’s typical radio environment
Typical
Urban
Bad
Urban
Rural
Area
Hilly
Terrain
38 Mobile Broadband in Tz – 13 Jan 2014
41. Roadmap of the Major Mobile Broadband Technologies
41
Humair Raza,”A Brief Survey of Radio Access Network Backhaul Evolution:
Part 1”, IEEE Comms Mag., June 2011, Pg. 164 - 171
45. Urban vs Rural in Tanzania
• Urban (30% of Population)
– High Density of Users
– Capacity limited
– Less impact from Terrain induced degradation
– High ARPU
• Rural (70% of Population)
– Low Density of Users
– Coverage Limited
– More impact from terrain degradation
– Low ARPU
Mobile Broadband in Tz – 13 Jan 201445
46. Users Density determines best technology
to deploy in a Specific Market
Metro Category Subscriber Density Example Cities
Low Density ~1,500 Pop/km2 Atlanta, Prague
Medium Density ~5,000 Pop/km2 Copenhagen,
Chicago, London
High Density ~10,000 Pop/km2 New York, Moscow
Closer to home
High Density ~1,500 Pop/km2 Dar es Salaam
Low Density < 500 Pop/km2 Outside Dar
46 Mobile Broadband in Tz – 13 Jan 2014
47. Dense Urban Environments
Dense Urban Environment: Singapore
About 4,000 people per sq.km
47 Mobile Broadband in Tz – 13 Jan 2014
53. Dar es Salaam Environments - From PPF Tower (3)
53 Mobile Broadband in Tz – 13 Jan 2014
54. Dar es Salaam Environments - (4)
54 Mobile Broadband in Tz – 13 Jan 2014
55. Outskirts of Dar (Airport)
55 Mobile Broadband in Tz – 13 Jan 2014
56. Legacy Backhaul – 1 (Backhaul)
• Backhaul uses TDM
Technology (PDH & SDH)
• Capacity per sector and
per BTS assigned PTP
dedicated links using E1
on end-to-end basis not
shareable
• The E1s can not be
shared, migration very
costly and takes time
BSC MSC
BSC
56 Mobile Broadband in Tz – 13 Jan 2014
59. Possible Migration from TDM to IP (Swap?)
TDM/ATM
&
IP CORE
BTS
Traffic
Aggregation
59
BTS
BTS
BTS
BTS
BTS
BTS
BTS
BTS
BTS
BTS
BTS
3 E1s
3 E1s
9 E1s3 E1s
3 E1s
3 E1s
3 E1s
3 E1s
3 E1s
3 E1s
15 E1s
24 E1s
30 E1s
36 E1s
45 E1s
IP
Cloud
(e.g. Fibre)
Mobile Broadband in Tz – 13 Jan 2014
60. WAN MAN LAN
GSM/GPRS/EDGE 900 MHz
CDMA / EV-DO 800 MHz
3G/WCDMA
HSPA
2.1 GHz
Wi-Fi
802.11
Challenge 2 Last Mile Reach for
Broadband and fading Problems in 3G
*
100 m5 – 7 km 500 m
Distance
60 Mobile Broadband in Tz – 13 Jan 2014
61. 61
Impact of Operating Frequency
0.0 4.0 8.0 12.0 16.0 20.0 24.0 28.0
80.0
85.0
90.0
95.0
100.0
105.0
110.0
115.0
120.0
125.0
130.0
Distance [ 1 -30 km ]
900 MHz
400 MHz
1800 MHz
About 8 km gained
61 Mobile Broadband in Tz – 13 Jan 2014
64. 64
• FE (100 Mbps)
– US$ 116,000 p.a
– QRTLY US$ 29,000
– About US$97 per Mbps
per month
– Once off Connection fee
US$ 22,500
• Capacity high although
cheaper compared to other
operators (US$150, US$500
per Mbps per Month
• POPs not available at District
level to hook up villages
67. Kerege Site Model
• 15 m three leg tower
with 5 m Pole
• 0.3m MW dish (5 GHz)
• 3 Sector Coverage
antennas (Wi-Fi 2.4 GHz)
• Bluetown BTS
• Solar Panels
• Battery inside box with
Solar controller
• Site area 4m x 3m
67
69. MNO
Voice &
Data Net
MNO
Monitoring
Station
HotSpots
Access Points
POP Site
Mapinga
Inter-
net
Fixed
Nets
Mobile
Networks
Hotspot
Jaribu
Bluetown Rural Broadband Solution
POP Site
Jaribu
Hotspot
Kerege
Mobile Broadband in Tz – 13 Jan 201469
71. Handsets Distributed – LG P875 F5
• Kerege Village 25
– Professional People 13
(Teachers, Nurses, Doctors, Farm
Extension Officer, Village Executive
Officer, Magistrate, etc)
– Others 12
(Recommended by Village
leadership)
• Jaribu Village 15
– Professional People 9
– Others 6
71 Mobile Broadband in Tz – 13 Jan 2014
76. Summary
• Mobile Broadband is the main platform for users in
Tanzania to access broadband services
• The Tanzania demographics and operating
environments have impact in the cost of service
provision
• It is proposed that new innovative solutions be
supported to enable more cost-effective solutions
especially for rural broadband service delivery
– Overcome legacy implementations
Mobile Broadband in Tz – 13 Jan 201476
77. Peter J. Chitamu (PhD, PrEng, MIEEE, MSAIEE)
Founder, Chairman & Technical Director
Dovetel (T) Ltd (Trading as Sasatel)
P. O. Box 60483
Dar es Salaam
Tanzania
Tel: +255 755 307 441
Email: pc@bluetown.com or pjchitamu@yahoo.com
Web: www.bluetown.com
Prepared by:
77 Mobile Broadband in Tz – 13 Jan 2014