It has been observed that the most profound technologies are those that disappear (Mark Weiser, 1991).
They weave themselves into the fabric of everyday life until they are
indistinguishable from it, and are notable only by their absence.
The feat of reticulating clean potable water into every house, so
that it is constantly accessible at the turn of a tap is a great example
of the outcome of large scale civil engineering projects, combining
with metallurgy, hydrology, chemistry and physics. But we never notice
it until it is no longer there. Similarly, the adoption of the household
items of the refrigerator, washing machine and stove. And of course
let’s not forget the feat of the domestic electricity supply grid. Prior
to the assembly of national grid systems electricity’s customers were
entire communities and the service role was in lighting the town’s
public spaces at night. Domestic electricity was an unaffordable luxury
for most households. Today we simply take it for granted.
Computers are also disappearing. Today’s car has more than 100
million lines of code running in more than 100 microprocessor control
modules. What we see in the car is not these devices, but instead we
have cars with anti-lock brakes, traction control, cruise control,
automatic wipers and seat belt alarms. Each of the car’s underlying
control systems are essentially invisible, and about all we get to see
is the car’s human interface system. This visible system, essentially an
entertainment controller and navigation service, is currently the space
where both Apple and Google are jostling for position with the auto
makers, while all the other microprocessor systems in the car remain
unremarked and little noticed.
So how should we regard the Internet? Is it like large scale
electricity power generators: a technology feat that is quickly taken
for granted and largely ignored? Are we increasingly seeing the Internet
in terms of the applications and services that sit upon it and just
ignoring how the underlying systems are constructed? What about the most recent Internet revolution, the massive rise of
the mobile “smart” phone? Will the use of a personal mobile computing
device be a long lasting artefact, or will it be superseded in turn by a
myriad of ever smaller and ever more embedded devices? What should we make of the mobile smart phone industry? Is this
all-in-one device headed down the same path of future technology
obsolescence as the mainframe computer, the laptop and even the browser? Or are these devices going to be here to stay?
How did we get here?
One way to answer this question is to look at the evolution of the
computer itself. Computing is a very new
industry. Sure, there was
Baggage’s analytical engine in the 19th century, but the first computers
appeared in the mid 20th century as programmable numerical calculators.
These were massive feats of electrical engineering, built at a cost
that only nation states could afford, and were of a size and fragility
that they required their own building, power and conditioned
environment. Valves are large, require high levels of power and are
fragile. For the early computers, such as ENIAC, a small cadre of folk
were taught how to program them and a far larger team of specialists
were employed to keep these behemoths running. This model of computing
was one that was only accessible for a few, and at a cost that was
completely unaffordable for most.
The invention of the transistor changed everything. Transistors were far
more robust, used far less power and
could be produced at far lower
cost, leading to the advent of the commercial computer in the 1960.
These units, such as the ubiquitous IBM System 360, were used in large
corporates and in universities and research institutions as well as in
public agencies. They still required dedicated facilities and a team of
operators dedicated to keep them running, but now they branched out from
being numerical calculators into information storage and manipulation
devices. These computers could store and manipulate text as well as
numbers. At the time computers were seen as the device itself and the
giants of the industry were manufacturers whose logo was stamped on the
hardware. The value of the unit was the hardware: by comparison the
residual value placed on the software was almost incidental.
The evolution of the transistor into the integrated circuit at first
enabled the mainframe to increase its capability. These systems became
faster, and stored more information, but were still housed in dedicated
facilities and operated by specialists. But the integrated circuit also
allowed a useful processor to be squeezed into a single chip, and the
computer industry was rocked by the advent of the personal computer. Few
of the giants of the mainframe era made the switch, so the once
prominent brands of Univac, Digital and Burroughs quietly faded away.
The advent of the computer as a consumer item changed this industry into
a volume-based industry, and the change lead to the emergence of new
industry behemoths, and the most notable of these was Microsoft.
Microsoft did not manufacture hardware. The company was a software
house. While the personal computer hardware industry drove itself into
price wars with razor thin margins due to unrelenting intense
competitive pressures, Microsoft managed to establish a de facto
monopoly over the software suite that turned these devices into
essential components of almost every office on the planet.
The further evolution of the integrated circuit into ever smaller
form factors with ever smaller power consumption levels and smaller heat
dissipation requirements allowed the computer to shrink further to a
physical package the same size as a human hand. The first mass market
offering in this space, Apple’s iPhone, was revolutionary in many
respects. It reduced a general purpose computer to a device with just 5
physical buttons, not 101. It had a finely crafted colour screen of such
a fine resolution that it stopped being a clunky computer screen and
presented an interface that was natural to the eye. While the phone
world and the computer industry had been interacting for many years, the
phone world had jealously guarded its own territory, and while it
embraced digital technologies for transmission and switching functions,
the telephone handset itself was slow to evolve from its basic speaking
functions. It seemed that after more than a century the only innovation
that the phone world came out with was the fax. The iPhone was a direct
assault on this staid, conservative world of telephony. One view is that
the iPhone was a mobile phone that did so much more than send and
receive calls. Perhaps a more realistic view was that the iPhone was a
fully functional mobile hand-held computer that could incidentally be a
mobile phone as well.
As has often been observed the path that computing has followed has
been a path of continual disruption and innovation. Each wave of
technology has created opportunities for adventurous entrepreneurs to
unsettle the established incumbents, and the incumbents have proved to
be incapable of keeping control of the further evolution of this same
technology, creating windows of opportunity for further innovation and
disruption. Change seems to be a constant factor in this environment.
Over the last 10 years the change that has been heralded by these
mobile smart devices has been truly phenomenal. The computer is no
longer in a dedicated building, and not even the centrepiece of a shrine
on a dedicated work bench. What we see of the computer is a handy
little device that we carry in a packet, or even wear on our wrist. We
expect the Internet to be always with us wherever we are and what ever
we are doing. Paper Maps? Who needs them when a navigation app is on my
smartphone! Books? No, use your reading app! Messaging, talking,
socialising, working. It’s all on your smart phone. The social change is
massive. The internet is no longer a destination. You don’t need to go
to a computer on a desk with a wired connection to some ephemeral
network. It’s with you all the time, wherever you are and whatever you
are doing. The internet is now incidental, but at the same time it’s a
constant background to everything we do.
The extent of this change can be seen in some industry statistics.
Numbers, Numbers, Numbers
According to statistics published by the ITU-D the Internet now has
some 2.9 billion users, or an average of 40 users per 100 across the
world. As large as that number sounds, it is still dwarfed by the
numbers of mobile phone service users, which today numbers 7 billion.
These days in the developed world the penetration of SIM based services
is now some 20% greater than the population. Many folk now have a mobile
phone, a mobile tablet, possibly a SIM in their car, and potentially
they have distinct mobile devices associated with their personal and
professional lives.
In the developed world the number of mobile smart devices is now at
84% of the population, while in the developing world it is still
somewhat of a luxury item with a penetration rate of 21%, but the total
population of users of these mobile devices is now at 2.3 billion users
of this mobile Internet. All of this growth has occurred within the last
eight years, with an annual growth rate on these smart devices being
activated at a rate of some 400 million per year, or 13 new device
activations every second. Today these mobile devices now register as
40% of “visible” devices on today’s Internet, while the visible usage
level of desktop and laptops has declined to 60%.
The supply side device production industry has also changed gears,
and laptop and desktop processor manufacture is declining in the face of
the uptake of mobile systems. In 2014 some 1.5 billion mobile
smartphone units were shipped, and this quantity has had a massive
impact on unit cost of such assembled devices and their component chips.
The cost of an assembled smart device unit is now averaging well below
$100 per unit at the point of manufacture. Device costs are also
contained through the use of open source software to control the
platform, and of course the leverage of the existing web-based universe
of content to populate the device with goods and services means that the
incremental cost of providing services to these devices is so small as
to be incidental.
Who supplies this industry? In 2014 Google’s Android operating system
was used on 84% of all shipped smart phones and tablets, while Apple’s
iOS system was used for 12% of all devices, and the remainder was
predominately Windows for Mobiles, which was mostly on the Nokia Lumina
platforms. These proportions of market share do not necessarily translate to
equivalent ratios of revenue and corporate value. In looking at
corporate value, Google’s market capitalization was some $368 billion at
the end of February 2014, which was comparable to that of Microsoft’s
$359 billion market capitalization. While Apple had just 12% of the
share of shipped units in 2014, Apple’s market capitalization is now
$755 billion.
The story as to why these market share numbers and capitalization
levels are so different lies in the revenue figures from each of these
companies. The open software approach used by Google with its Android platform
has not generated the same level of value for Google on a per device
basis. Google are still strongly reliant on its advertising activity,
which is reported to have generated some 90% of its total revenue of $66
billion. It makes little in the way of margins from its hardware and
software platforms in the mobile space, and the rationale for the open
distribution of the Android platform may well lie in the observation
that the resultant open access environment is readily accessible to
Google’s ad placement activities.
Microsoft’s revenue of $86 billion is dominated by commercial
licensing activities, which appear to be a legacy of their historic
position of dominance in the office IT environment. The Windows Phone
revenues of $2 billion had a margin of just $54 million. Apple is a completely different story. Applies mobile products
generated some $150 billion in revenue, and. It should be noted that
Apple has maintained a very tight level of control over both its
hardware platforms, the iOS operating system, the software applications
that run on this platform and the forms of interaction that these
applications can have with the users. This form of tight vertical
bundling, from the underlying hardware platform right through to the
retail of services through the Apple Shop, has meant that Apple has been
highly effective in maintaining very high margins on its iPhone
products. Apple’s legendary obsession with design in this space has
meant that Apple has been able to maintain its position as a premium
product in the eyes of the consumer. At the same time, the high levels
of control over the platform has meant that Apple has been effective in
realising this premium value as revenues directed to Apple. In so doing,
Apple left little residual value accessible to others, including the
mobile network operators.
Mobile Carriage Technology
Data services in the mobile world have been nothing less that
revolutionary over the past decade. The original model of data services
in mobiles in the GSM architecture was to use the voice channel for
data, and available data rates were typically 16 – 32Kbps, with an
imposed latency of half a second. The subsequent adoption of 3G standards headed in an entirely
different direction, adopting the W-CDMA model with shared channels,.
Shorter transmission time intervals, an altered contention resolution
algorithm, and use of amplitude and phase modulation techniques on the
carrier signal were coupled with opportunistic channel acquisition. The
result was a theoretical performance of 20Mbps downstream and 5.87Mbps
up, but this theoretical speed is rarely achieved in practice. Speeds of
up to 1 Mbps are a more typical user experience of 3G networks.
3G networks use a channel model between the gateway and the device,
and use PPP to create the IP binding. One of the side-effects of this
model is that each device association is bound to an IP instance. This
implies that in order to support both IPv4 and IPv6 the operator would
need to devote 2 channels to the dual stack device. The 4G LTE model
strips out the PPP channel and the gateway and makes use of an all-IP
internal infrastructure. The 4G device is now able to run in dual stack
mode with both IPv4 and IPv6 associations to the network without
doubling up on connection overheads. 4G also makes use of more sensitive
digital signal processors in the handset and the gateway to support 64
QAM, and also uses MIMO multiple antennas to opportunistically obtain
larger spectrum segments if they are available. On a good day, with the
wind behind you, close to an otherwise idle base station with no
interference it may be possible to drive a 4G connection to speeds of
100Mbps or higher. In practice most 4G connections run a lot slower than
this, but it is still a visibly improved experience over 3G for most
users.
While the mobile network operators are engaging in projects to select
which particular variant of the family of (naturally) mutually
incompatible 4G services they will use to upgrade their base station
infrastructure, the technology is not standing still. At the start of
2015 Ericsson laid claim to the 5G label, claiming lab tests of a 15Ghz
bearer, using the suite of QAM modulation and MIMO techniques to squeeze
5Gbps out of a radio connection. Ericsson claim that this would not be
available as a general use technology until 2020, though I suspect that
there are more issues besides this protracted lead time. The urban built
environment is largely transparent to radio frequencies in spectral
frequencies in the 100Mhz area, but as the frequency increases the
signal has greater issues with absorption and reflection, and by the
time you get to frequencies in this Ku band it is typical today to have a
clear line of sight path. One suspects that much of the challenge for
Ericsson and this 5G program will be to craft signal processors than can
cope with the challenges of managing high frequency signals in a built
environment.
Futures
Where is the mobile industry headed? The mobile phone market has already reached “super saturation” levels
with the use of mobile SIM cards in the developed world exceeding the
population. It certainly looks that the smart device market is heading
in precisely the same direction. There are, however, a few cracks that
are visible in this complacent view of the mobile industry’s future. The underlying fuel for the mobile industry is radio spectrum space.
There are two types of spectrum. The first is the traditional medium of
exclusive use spectrum licenses, where the mobile network operator pays
the government a license fee for exclusive access to a certain spectrum
allocation in a particular geographic locale. The model of distribution
of this spectrum has shifted from a administrative allocation model to
one of open auctions, and the auction price of these licenses has, from
time to time, reflected an irrational rush of blood to the heads of the
network operators.
The high cost of spectrum access implies that the network operator starts with a non-trivial cost element for the spectrum, and on to of this the operator must also invest in physical plant and business management operations. Typically, the spectrum actions are constructed in a manner that there is no ability for a single operator to obtain a monopoly position, and most regimes ensure that there are between two and four distinct spectrum holders in the most highly populated locales. Sometimes this level competition is enough to maintain an efficient market without price distortions, while at other times the small number of competitors and the barriers to entry by any new competitors leads to various forms of price setting distortions in the mobile market, where the retail price of the service has no direct relationship to underlying costs.
But competitive pressure from other mobile network operators is not
the only source of competition. The other form of spectrum use is also a
factor. WiFi systems use two unmanaged shared spectrum bands, one at
2.4.Ghz and the second at 5Ghz. There are typically limits on the
maximum transmission power used by devices that operate in these bands,
but to all other extents the spectrum is effectively open for access.
For many years WiFi has been used to support domestic and corporate
access. WiFi systems typically operate within a range of up to 70m
indoors and 250m outdoors. This small radius of WiFi systems, which is
an outcome of the limited transmission power, has fortuitously also
allowed these system to operate with extremely high capacity. They run
at speeds that range from 10 to 50 Mbps (the 802.11b specification)
through to speeds of up to 1.3Gbps (the 802.11ac specification), and
expectation is that this can be lifted to even higher speeds in the near
future.
For a while these two spectrum use models have compartmentalised
themselves into distinct markets. Exclusive-use spectrum for the
‘traditional’ mobile network operators and shared spectrum use for
self-installed domestic and office applications. But now some operators
of wired network access infrastructure are heading into head to head
competition with the mobile operators in the provision of mobile
services. Comcast’s Xfinity service in the US is a good example of this
approach, and it boasts of millions of WiFi hot spots which are usable
by existing Comcast customers without any additional cost. Perhaps
surprisingly, some of the incumbent mobile operators have followed this
lead and are also offering free WiFi access services to their customer
base. For example AT&T has a WiFi offering in the US. Part of the
rationale for this may well be protecting their market share. However
there is also the ever-present issue of congestion in the licensed radio
spectrum space. 3G and 4G data services are opportunistic, and scavenge
otherwise uncommitted access capacity. However, in places of intense
use, such as high density urban centres, the challenge of providing high
capacity data services becomes a tough challenge. One approach is to
use WiFi access points as a relief mechanism for these areas of
otherwise high congestion.
But there are some issues with WiFi that are not as obvious in the
traditional mobile service space. The mobile industry has supported
base-station handover since its inception, so that an active data stream
to a device can be supported even as this device is in motion, being
handed off from one radio access point to another. WiFi handoff is not a
as cleanly supported. The issues surface when the WiFi access points
reside in different IP networks, so that a handoff from one WiFi access
point to another implies a change of the device’s IP address.
Conventionally a change of IP address equates to a disruptive change to
all of the devices active connections. However, it is possible to create
an application that uses some form of session key persistence to allow
one of the end points of the session to change IP addresses while
keeping the session open and not losing state. We have also seen mobile
applications make use of Multi-Path TCP, where a logical TCP session is
shared across multiple interfaces, potentially permitting interfaces to
be added and removed from interface set supporting the logical TCP
session. In essence, the device and its applications are now able to
leverage a rich connectivity environment where all the interfaces in a
mobile device can be used as appropriate.
What does this mean for the mobile industry? What we are seeing is that the mobile device is no longer tethered to a mobile network operator, and the device is able to react opportunistically to use the “best” network, whether it’s the greatest available capacity or the lowest incremental cost to the consumer. From the device’s perspective the mobile network is just one possible supplier of transmission services, and other options, including WiFi, Bluetooth and USB ports can also be used, and the device is able to make independent choices based on its own preferences.
What does this mean for the mobile industry? What we are seeing is that the mobile device is no longer tethered to a mobile network operator, and the device is able to react opportunistically to use the “best” network, whether it’s the greatest available capacity or the lowest incremental cost to the consumer. From the device’s perspective the mobile network is just one possible supplier of transmission services, and other options, including WiFi, Bluetooth and USB ports can also be used, and the device is able to make independent choices based on its own preferences.
This has profound implications. While the device was locked into the
mobile network, the mobile network could position itself as an expensive
premium service, with attendant high prices and high revenue margins.
The only form of competition in this model was that provided by
similarly positioned mobile service operators. The limited number of
spectrum licences often mean that the players established informal
cartels and prices remained high. Once the device itself is able to
access other access services, then the mobile data network operators
find it hard to maintain a price premium for their service. The result
is that mobile service sector is being inexorably pushed into a raw
commodity service model. The premium product of mobile voice is now just
another undistinguished digital data stream, and the margins for mobile
network operators are under constant erosive pressure. The unlicensed
spectrum open WiFi operators are able to exert significant levels of
commercial pressure on the mobile incumbents in the mobile service
environment. This means that the premium prices paid for exclusive use
spectrum licenses are exerting margin pressures on operators whose
revenues are increasingly coming from commodity utility data services.
Perhaps there are yet more changes on the way. The “improvements”
that turned the mobile phone into a smart mobile weren’t motivated by
providing a better voice experience. Not at all. What changed was that
the device added retinal displays, cameras, touch inputs, local storage,
positioning, and access to all of the online services that we were used
to with desktop computers. What we have today is the equivalent of
yesterday’s general purpose mainframe computer in your pocket. The mode
of improvement in this model is more memory, sharper displays, better
power usage, improved processing capability. In other words marginal
improvements to the same basic model. But we are also seeing a new range
of specialised products that also use mobility but are not general
purpose computers, but dedicated devices intended to provide a
particular service. The “Fitbit” is a good example of this form of
specialization, which is a specialised device that measures the wearer’s
physical activity. Credit cards, and many municipal metro cards, now
include embedded processors that store value on the card itself. Many
countries now issue passports with embedded electronics. So will the model of a general purpose computer persist into the
future, or will we see further specialization as the computer industry
abandons general use models and instead specialises and embeds itself
into every aspect of our lives?
It seems that we are indeed seeing the Internet, and even the
computers that populate the Internet slowly fade from up front
prominence. It seems that these technologies are so much a part of our
lives that we no longer recognise them as something special or
distinguished. They are inexorably weaving themselves into the way we
live our lives. And the crucial element of this transformational change
has been the untethering of the Internet and its enthusiastic adoption
of mobility. Once the Internet is always present and always available it
no longer is visible. Like the water from your tap, we will only really
be aware of the extent of the role of this ubiquitous internet will be
in those rare times when its just not there!






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