Local networks: when telecoms becomes "pericoms"​

Published via my LinkedIn Newsletter - see here to subscribe / see comment thread

"Telecoms" or "telecommunications" is based on the Greek prefix "tele-".

It means "at a distance, or far-off". It is familiar from its use in other terms such as telegraph, television or teleport. And for telecoms, that makes sense - we generally make phone calls to people across medium or long distances, or send then messages. Even our broadband connections generally tend to link to distant datacentres. The WWW is, by definition, worldwide.

The word "communications" actually comes from a Latin root, meaning to impart or share. Which at the time, would obviously have been done mostly through talking to other people directly, but could also have involved writing or other distance-independent methods.

This means that distant #communications, #telecoms, has some interesting properties:

• The 2+ distant ends are often (but not always) on different #networks. Interconnection is therefore often essential.
• Connecting distant points tends to mean there's a good chunk of infrastructure in between them, owned by someone other than the users. They have to pay for it, somehow.
• Because the communications path is distant, it usually makes sense for the control points (switches and so on) to be distant as well. And because there's typically payment involved, the billing and other business functions also need to be sited "somewhere", probably in a #datacentre, which is also distant.
• There are a whole host of opportunities and risks with distant communications, that mean that governments take a keen interest. There are often licenses, regulations and internal public-sector uses - notably emergency services.
• The infrastructure usually crosses the "public domain" - streets, airwaves, rooftops, dedicated tower sites and so on. That brings additional stakeholders and rule-makers into the system.
• Involving third parties tends to suggest some sort of "service" model of delivery, or perhaps government subsidy / provision.
• Competition authorities need to take into account huge investments and limited capacity/scope for multiple networks. That also tends to reduce the number of suppliers to the market.

That is telecommunications - distant communications.

But now consider the opposite - nearby communications.

Examples could include a private 5G network in a factory, a LAN in an office, a WiFi connection in the home, a USB cable, or a Bluetooth headset with a phone. There are plenty of other examples, especially for IoT.

These nearby examples have very different characteristics to telecoms:

• Endpoints are likely to be on the same network, without interconnection
• There's usually nobody else's infrastructure involved, except perhaps a building owner's ducts and cabinets.
• Any control points will generally be close - or perhaps not needed at all, as the devices work peer-to-peer.
• There's relatively little involvement of the "public domain", unless there are risks like radio interference beyond the network boundaries.
• It's not practical for governments to intervene too much in local communications - especially when it occurs on private property, or inside a building or machine.
• There might be a service provider, but equally the whole system could be owned outright by the user, or embedded into another larger system like a robot or vehicle.
• Competition is less of an issue, as is supplier diversity. You can buy 10 USB cables from different suppliers if you want.
• Low-power, shared or unlicensed spectrum is typical for local #wireless networks.

I've been trying to work out a good word for this. Although "#telecommunications" is itself an awkward Greek / Latin hybrid I think the best prefix might be Greek again - "peri" which means "around", "close" or "surrounding" - think of perimeter, peripheral, or the perigee of an orbit.

So I'm coining the term pericommunications, to mean nearby or local connectivity. (If you want to stick to all-Latin, then proxicommunications would work quite well too).

Just because a company is involved in telecoms does not mean it necessarily can expect a role in pericoms as well. (Or indeed, vice versa). It certainly can participate in that market, but there may be fewer synergies than you might imagine.

Some telcos are also established and successful pericos as well. Many home broadband providers have done an excellent job with providing whole-home #WiFi systems with mesh technology, for example. In-building mobile coverage systems in large venues are often led by one telco, with others onboarding as secondary operators.

But other nearby domains are trickier for telcos to address. You don't expect to get your earbuds as an accessory from your mobile operator - or indeed, pay extra for them. Attempts to add-on wearables as an extra SIM on a smartphone account have had limited success.

And the idea of running on-premise enterprise private networks as a "slice" of the main 4G/5G macro RAN has clearly failed to gain traction, for a variety of reasons. The more successful operators are addressing private wireless in much the same way as other integrators and specialist SPs, although they can lean on their internal spectrum team, test engineers and other groups to help.

Some are now "going the extra mile" (sorry for the pun) for pericoms. Vodafone has just announced its prototype 5G mini base-station, the size of a Wi-Fi access point based on a Raspberry Pi and a Lime Microsystems radio chip. It can support a small #5G standalone core and is even #OpenRAN compliant. Other operators have selected new vendors or partners for campus 4G/5G deployments. The 4 UK MNOs have defined a set of shared in-building design guidelines for neutral-host networks.

It can be hard for regulators and policymakers to grasp the differences, however. The same is true for consultants and lobbyists. An awful lot of the suggested upsides of 5G (or other forms of connectivity) have been driven by a tele-mindset rather than a peri-view.

I could make a very strong argument that countries should really have a separate pericoms regulator, or a dedicated unit within the telecoms regulator and ministry. The stakeholders, national interests and economics are completely different.

A similar set of differences can be seen in #edgecomputing: regional datacentres and telco MEC are still "tele". On-premise servers or on-device CPUs and GPUs are peri-computing, with very different requirements and economics. Trying to blur the boundary doesn't work well at present - most people don't even recognise it exists.

Overall, we need to stop assuming that #pericoms is merely a subset of #telecoms. It isn't - it's almost completely different, even if it uses some of the same underlying components and protocols.

(If this viewpoint is novel or interesting and you would like to explore it further and understand what it means for your organisation - or get a presentation or keynote about it at an event - please get in touch with me)

What does an AI think about Net Neutrality?

Originally published on my LinkedIn Newsletter, 9th Feb 2023. See here for comment thread

Two very important trends are occurring in tech I'm following at the moment, so I thought it might be fun to combine them:

• The emergence of #GenerativeAI, for answering questions, generating images and sounds, and potentially a whole lot more. OpenAI #ChatGPT is the current best-known, but there are dozens of others using language models, transformers & other techniques. Some people are suggesting it will redefine web search - and potentially an awful lot more than that. Some even see it as a pivotal shift in technology, society and "skilled" employment.
• The re-emergence of discussions around #NetNeutrality and associated regulation relating to technology platforms, telcos and networks, like the ridiculous (un)#fairshare & #InternetTrafficTax concept being pitched in Europe by lobbyists. In the UK, Ofcom recently concluded a consultation on whether changes to NN rules should be made (I sent in a reply myself - I'll discuss it another time).

So, I asked ChatGPT what it thought about NN, over a series of questions. I specifically focused on whether it helps or hinders innovation.

The transcript is below, but some thoughts from me first:

• The text is good. Almost alarmingly good. I found myself saying "good point" a few times. This is probably because it gives reasons in fairly long lists, not just "3 bulletpoints for a slide".
• It seems pretty even-handed, with "proponents say this, others say that"
• You can sense that its training base tends to give it "common" responses and frequently-cited arguments. That doesn't mean they're wrong, but it can lack nuance, or repeat some common *fallacies* as well.
• The long-list approach and comments is quite good at highlighting the need for multiple approaches & reconciling them. A single statistical approach isn't enough - there are also qualitative questions to ask, surveys to undertake and multiple angles to absorb. ChatGPT understands the issue is complex, even if it cannot resolve the complexity itself. Simple answers are wrong.
• I was particularly impressed with the response to my question on cross-border effects, and to separating NN vs. funding effects.
• It struggled with the last question, about Internet and non-Internet innovation. EDIT: I just realised that it ignored my typo, and understood that I meant "directly" when I wrote "direct" in my question
• I'd be very worried if I did bog-standard "content generation" for clickbait blogs, "bucketshop" market research, or corporate social posts. This is all perfectly-usable general blurb if you need slabs of text nobody is going to really delve into too deeply.

All that said, I don't think this is (yet) a gamechanger in terms of analysis and argument. It's good for collating a lot of "food for thought", but as others have pointed out, it can also be "confidently wrong", sometimes in amusing ways.

In a separate chat, I asked it for a contrarian's view of #5G use-cases. While it was right on some things ("Some argue that the vast majority of #IoT devices do not require the high speed and low latency that 5G provides and that the hype around IoT is overblown.") others were less convincing: ("Some argue that 5G may not provide the low latency and high reliability that is being promised, and that there are other technologies, such as wired connections, that are better suited for applications such as autonomous vehicles"). If there's one thing less relevant to self-driving cars than 5G, it's fixed broadband!

Anyway - enjoy the debate treanscribed in full, below.

(Note: the image for this article came from Stable Diffusion, when I asked for a picture showing "An advanced AI debating Net Neutrality")

Me: Does net neutrality help innovation?

ChatGPT: Net neutrality has been a topic of much debate, with proponents arguing that it promotes innovation and others arguing that it stifles it.

Proponents of net neutrality argue that it helps to level the playing field for new entrants and small businesses by preventing Internet Service Providers (ISPs) from discriminating against certain types of traffic or services. This, in turn, encourages innovation, as entrepreneurs and startups are free to bring new products and services to market without fear of being blocked or slowed down by ISPs.

On the other hand, opponents of net neutrality argue that it creates a regulatory burden that stifles innovation and investment in the broadband industry. They argue that without the ability to prioritize different types of traffic, ISPs will be unable to effectively manage their networks and may be forced to limit investment in new infrastructure and technologies.

Ultimately, the impact of net neutrality on innovation is a complex and highly debated issue, and there is no clear consensus on whether it helps or hurts innovation. However, proponents of net neutrality generally believe that it promotes a free and open internet that supports innovation and competition, while opponents believe that it imposes unnecessary regulation that stifles growth and investment.

Me: What research is necessary to reach a better conclusion?

ChatGPT: To reach a more definitive conclusion on the impact of net neutrality on innovation, several types of research would be necessary, including:

1. Economic studies: Economic studies could analyze the impact of net neutrality regulations on investment and innovation in the broadband industry, as well as the impact on consumer prices and access to broadband services.
2. Case studies: Case studies of countries or regions with and without net neutrality regulations could provide valuable insights into the real-world effects of these regulations on innovation and investment in the broadband industry.
3. Surveys and interviews: Surveys and interviews with entrepreneurs, startups, and industry experts could provide insights into the impact of net neutrality on the ability of new entrants to bring new products and services to market.
4. Technical studies: Technical studies could examine the impact of net neutrality regulations on network management and traffic prioritization, and assess the potential impact on network performance, reliability, and security.
5. Long-term data analysis: Long-term data analysis could track changes in investment, innovation, and consumer prices over time in regions with and without net neutrality regulations, providing valuable insights into the long-term impact of these regulations.

Overall, a comprehensive and multi-disciplinary approach to research, combining economic, case study, survey, technical, and data analysis methods, would be necessary to reach a more definitive conclusion on the impact of net neutrality on innovation.

Me: How would you measure innovation in this context?

ChatGPT: Measuring the impact of net neutrality on innovation is a complex task, as innovation can take many forms and can be difficult to quantify. However, several metrics could be used to measure innovation in this context, including:

1. Investment in research and development (R&D): This could be measured by tracking the amount of investment in R&D by broadband companies and startups, as well as the number of patents filed in relevant areas.
2. New product and service launches: This could be measured by tracking the number of new products and services introduced by broadband companies and startups, as well as the market adoption and success of these offerings.
3. Entrepreneurial activity: This could be measured by tracking the number of new startups founded in the broadband industry, as well as the success of these startups in attracting investment and bringing new products and services to market.
4. Consumer benefits: This could be measured by tracking changes in consumer prices, access to broadband services, and the availability of new and innovative online services and applications.
5. Network performance and reliability: This could be measured by tracking changes in network speed, latency, and uptime, as well as the ability of networks to handle new and innovative applications and services.

While these metrics are not exhaustive, they provide a good starting point for measuring the impact of net neutrality on innovation in the broadband industry. By tracking changes in these metrics over time in regions with and without net neutrality regulations, researchers could gain valuable insights into the impact of these regulations on innovation.

Me: A lot of those metrics are international. More regions with net neutrality might increase innovation globally, not locally. How do you account for that?

ChatGPT: You are correct, some of the metrics mentioned could be influenced by factors beyond the borders of a single region. To account for this, it would be important to consider both the local and global impact of net neutrality on innovation.

For example, to measure the local impact of net neutrality, researchers could compare the metrics mentioned in regions with and without net neutrality regulations, taking into account factors such as the local economy, cultural and regulatory environment, and the state of the broadband industry in each region. This would provide valuable insights into the specific impact of net neutrality on innovation within those regions.

To measure the global impact of net neutrality, researchers could compare these metrics on a global scale, taking into account factors such as the state of the global economy, the state of the broadband industry globally, and the regulatory environment in different regions. This would provide a broader perspective on the impact of net neutrality on innovation globally, and could help to identify any trends or patterns that may not be apparent from a regional analysis alone.

Overall, it is important to consider both the local and global impact of net neutrality on innovation to gain a complete and accurate understanding of the impact of these regulations on the broadband industry and innovation more broadly.

Me: How would we know if net neutrality had a larger effect on innovation than availability of financing for startups?

ChatGPT: Determining the relative impact of net neutrality versus the availability of financing on innovation can be challenging, as these factors are often interrelated and can have complex and interconnected effects. However, several approaches could be used to isolate the impact of each factor, including:

1. Comparative studies: Researchers could compare regions with and without net neutrality regulations, but with similar levels of financing available for startups. By controlling for the availability of financing, researchers could isolate the impact of net neutrality on innovation.
2. Historical analysis: Researchers could analyze data from periods of time when net neutrality regulations were in place or not in place, and compare this data with changes in the availability of financing for startups. This would help to identify any correlations between net neutrality and innovation, independent of changes in financing.
3. Causal inference methods: Researchers could use causal inference methods, such as regression analysis, to model the relationship between net neutrality, financing, and innovation, while controlling for other factors that could influence these relationships.
4. Survey and interview-based research: Researchers could survey and interview startups, entrepreneurs, and industry experts to gain insights into the relative importance of net neutrality and financing for innovation. This would provide valuable qualitative data to complement the quantitative data obtained from other research methods.

Overall, a multi-disciplinary and multi-method approach, incorporating comparative studies, historical analysis, causal inference methods, and survey and interview-based research, would be necessary to determine the relative impact of net neutrality and financing on innovation in a robust and comprehensive manner.

Me: How do you distinguish innovations that direct relate to Internet access, compared to those which involve non-Internet applications and technologies?

ChatGPT: Distinguishing innovations that directly relate to Internet access versus those that involve non-Internet applications and technologies can be challenging, as many innovations are influenced by both Internet access and non-Internet technologies. However, several approaches could be used to differentiate these types of innovations, including:

1. Technical classification: Innovations could be classified based on their underlying technologies, with innovations that rely primarily on Internet access being classified as Internet-related innovations and innovations that rely primarily on non-Internet technologies being classified as non-Internet-related innovations.
2. Market classification: Innovations could be classified based on the markets they serve, with innovations that serve primarily Internet-based markets, such as online commerce or online communication, being classified as Internet-related innovations and innovations that serve primarily non-Internet-based markets, such as manufacturing or agriculture, being classified as non-Internet-related innovations.
3. End-user classification: Innovations could be classified based on their end-users, with innovations that are primarily designed for use by individuals accessing the Internet being classified as Internet-related innovations and innovations that are primarily designed for use by individuals not accessing the Internet being classified as non-Internet-related innovations.

It is important to note that these classifications are not mutually exclusive, and that many innovations may have elements of both Internet-related and non-Internet-related technologies, markets, and end-users. Nevertheless, using these classifications can provide valuable insights into the extent to which innovations are influenced by Internet access, and can help to distinguish Internet-related innovations from non-Internet-related innovations.