Zahid Ghadialy tech Day 2
Transcript of Zahid Ghadialy tech Day 2
Operators strategy for supporting the ‘Mobile Data Explosion’
Zahid Ghadialy
Managing Director, eXplanoTech Ltd. 18/04/2012
Briefly about eXplanoTech
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Technical Consulting • Requirement Analysis • Project Management • Architecture and Specification • Design, Implementation, Integration &
Deployment • Testing Services (inc. IOT, CAT, Conformance, Field) • Maintenance
Trainings • Technology trainings • Product trainings • Process trainings • Executive trainings • Trainings on integrating cultural aspects in work
Resourcing and Recruitment • Talent acquisition • Executive head hunt • Resourcing of projects • Managed Services • Technology and Business Intelligence domains
Agenda
Statistics and the Problem(s) summarised
A look at ‘Network Capacity’ calculation
Small Cells
WiFi
New features in 3GPP Standards
Spectrum Issues TV White Spaces (TVWS)
Carrier Aggregation
Dynamic Spectrum Management (DSM)
Case Study of a US Operator
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Mobile data exploding – Random scary stats
Median smartphone data usage at AT&T was up 888% and up 551% at Verizon this past year.
In 2009, the top 3% of heavy users generated 40% of wireless network traffic. Now, these users account for 70% of the traffic.
The heaviest users of mobile data watched videos 40% of the time, surfed the Web an additional 20%, and used up the rest of their online time in e-mails, social networking, file sharing and software downloads.
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Data Explosion: Myth and Reality
The mobile data is not growing as fast as was initially expected.
This does not mean that the operators do not have to worry about coping with the data demand
Data traffic vs Revenues may not be as bad as initially thought
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Time
Traffic
Revenues
Time
Traffic
Revenues
Initial Prediction
Based on current data
The Good News
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There is still a huge market for accessing internet/data on the phones
The Bad News
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Infograph Source: http://www.localytics.com/blog/2012/only-6-of-ipad-app-sessions-on-cellular-connection/
Users want ‘true unlimited’ data plans from their operators
WiFi is always the preferred choice of the users to access data: Its easy to setup and use in the modern devices
Different reports point out that most of data from the tablets do not go through the operators networks
More phone users are switching on WiFi for data usage
Localytics, an App analytic company found in the USA that 89.7% of iPad sold are WiFi only. Among iPad’s with 3G connectivity 55% usage is over WiFi and in LTE iPad’s, 64% usage is WiFi
The problems summarised
Operators
How to generate more revenue and recoup investment in Next-G networks
How to get more users to use the mobile networks
How to optimise the networks so there are no bottlenecks
Increase network capacity to handle more users
Better cell edge coverage for the users
How to monetise the usage of WiFi
Users
How to get cheapest possible (unlimited) data plan with fastest possible access (4G)
How to avoid ‘Bill shock’ and reduce network usage
How to get better coverage and reduce latency
Why does the loading of pages fail sometimes
Why does loading of pages take too much time
How to get access to more WiFi hotspots without paying and worrying about login & security
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‘Network Capacity’ calculation
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Network Capacity
= Quantity of Spectrum
x Cell Spectrum Efficiency
x Number of Cells
(bps) (Hz) (bps Hz-1)
Since 1947 ‘Network Capacity’ has increased by a Million
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But Data Usage has exploded as well
The easiest way to increase the number of cells is to have more small(er) cells.
The easiest way to cope with this explosion is to increase the number of cells
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‘Small Cells’ to the rescue
Small Cells has to happen: To improve speeds for users on Macro and on ‘small cells’
To offload traffic and improve capacity of the network
To improve coverage by reducing interference
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But other problems may arise
Operators expect users to pay for the ‘Small Cells’ but most users expect them for free, especially business users
If ‘Small Cells’ are not planned properly then they can cause interference with the network and create coverage black holes
The data traffic still has to go through the operators network and handling high amounts of data can still be a problem for the operator
The ISP’s are not happy with carrying operator traffic and may cause problems or ask for compensation
Even though the Access security is improved for the user, the operator is exposing the network to potential hackers
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‘WiFi’ – The real saviour?
Over 1 billion units of WLAN chipsets are expected to ship this year
Expected to double by 2014
Operators that have deployed Carrier WiFi
China Mobile – 1 million hotspots by end of 2013
China Telecom – 1 million hotspots by end of 2012
SK Telecom – 60,000 hotspots by end 2011
Korea Telecom – 100,000 hotspots by end 2011
KDDI, Japan – 90,000 by Q2 2012
Skyhook (a company that pioneered WiFi based positioning system) has already have over 250 million access points in its database [June 2011]
Australian operator Telstra closed their Carrier WiFi network in Feb. as they rolled out ‘Mobile WiFi’ based on LTE.
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WiFi v/s Small Cells
WiFi (802.11n)
No Spectrum constraints
40MHz available in the 2.4GHz band
Latency is better than mobile networks
Throughput upto 600Mbps in 40MHz BW using 4x4 MIMO
Radio cheap and already in most new mobiles, laptops and tablets.
Small Cells (HSPA+/LTE)
Licensed Spectrum only
Large bandwidths not always possible
Latency not as good as WiFi
HSPA+ DL in Rel-11 upto 672Mbps and LTE DL in Rel-10 upto 600Mbps in 40MHz BW using 4x4 MIMO.
Radio expensive and not as easily available in laptops and tablets.
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Benefits of Carrier WiFi
‘Offload’ mostly at traffic hotspots like airports, shopping malls, etc.
Reduced price data on ‘Pay as you use’ schemes.
Reduced price data roaming internationally. MVNO’s can cash on this big time.
‘Onload’ when the data speeds are low due to network congestion.
Can be offered to subscribers using non-cellular devices as ‘perk’.
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New features in 3GPP standards
New features are being developed by 3GPP that are intended to provide a value addition to the Mobile Broadband offering and making it more integrated with WiFi for value addition
Local IP Access (LIPA) – Release 10
Selected IP Traffic Offload (SIPTO) – Release 10
IP Flow Mobility (IFOM) – Release 10
Continuity of Data Sessions (CSN) – Study item in Release 12
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Local IP Access (LIPA)
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IP Core Network
Residential/Enterprise IP Network
Scope for Local IP Access
Logical connection for mobile operator IP traffic HeNB
Selected IP Traffic Offload (SIPTO)
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IP Core Network
Residential/Enterprise IP Network
Logical connection for mobile operator IP traffic HeNB
Internet
Data Traffic
IP Flow Mobility (IFOM)
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IP Core Network
Residential/Enterprise IP Network
Data Traffic Path 1
Internet
Data Traffic Path 2
Continuity of Data Sessions (CSN)
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HeNB
IP Core Network
Residential/Enterprise IP Network
Scope for Local IP Access
Logical connection for mobile operator IP traffic
TV White Spaces (TVWS)
Main driver for TVWS is that they are in the sub 1GHz band that can increase coverage significantly
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Sub 1GHz band is ‘Platinum Band’ in Japan
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Interference is the biggest Issue
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Carrier Aggregation (CA)
Contiguous and Non-Contiguous
Multi-carrier Two 5MHz carriers in 2100MHz to make a 10MHz carrier
Multi-band For example 5MHz from 2100MHz and another 5MHz from 900MHz
LTE Inter-mode Carrier Aggregation Aggregating FDD and TDD bands
Inter-technology Carrier Aggregation For example LTE & HSPA+
Licensed-Unlicensed Carrier Aggregation LTE + WiFi
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Dynamic Spectrum Management (DSM)
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Things to remember for any Dynamic Spectrum Management Techniques
The operator network would have to implement the technology but the devices would have to support the bands
The Spectrum would be generally available for use by all operators and maybe other devices/technologies and it would also vary from one area to another. As a result a central authority would be required to handle this
The government/authorities would not let this spectrum be used for free, forever. As soon as a workable solution is available they are bound to ask for some kind of fees.
The whitespaces would be auctioned or sold in future and it would have to be decided in advance if there is a case for using them for a certain duration of time.
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Case Study of a US Mobile Operator
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Data reproduced with kind permission of Keima Wireless
using the ‘Overture’ tool
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D.H. Ring, Bell Labs - Telephony - Wide Area Coverage, 11 December 1947 D.H. Ring, Bell Labs - Telephony - Wide Area Coverage, 11 December 1947
1947
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2012
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Putting it all together
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