There is an ongoing push to ‘better’ monetize the mobile marketplace. In this near-future market, wireless providers use DPI and other Quality of Service equipment to charge subscribers for each and every action they take online. The past few weeks have seen Sandvine and other vendors talk about this potential, and Rogers has begun testing the market to determine if mobile customers will pay for data prioritization. The prioritization of data is classified as a network neutrality issue proper, and one that demands careful consideration and examination.
In this post, I’m not talking about network neutrality. Instead, I’m going to talk about what supposedly drives prioritization schemes in Canada’s wireless marketplace: congestion. Consider this a repartee to the oft-touted position that ‘wireless is different’: ISPs assert that wireless is different than wireline for their own regulatory ends, but blur distinctions between the two when pitching ‘congestion management’ schemes to customers. In this post I suggest that the congestion faced by AT&T and other wireless providers has far less to do with data congestion than with signal congestion, and that carriers have to own responsibility for the latter.
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I’ve written a fair bit about mobile phones; they’re considerable conveniences that are accompanied by serious security, privacy, and technical deficiencies. Perhaps unsurprisingly, Apple’s iPhone has received a considerable amount of criticism in the press and by industry because of the Apple aura of producing ‘excellent’ products combined with the general popularity of their mobile device lines.
In this short post I want to revisit two issues I’ve previously written about: the volume of information that the iPhone emits when attached to WiFi networks and its contribution to carriers’ wireless network congestion. The first issue is meant to further document here, for my readers and my own projects, just how much information the iPhone makes available to third-parties. The second, however, reveals that a technical solution resolves the underlying cause of wireless congestion associated with Apple products. Thus, trapping customers into bucket-based data plans in response to congestion primarily served financial bottom lines instead of customers’ interests. This instance of leveraging an inefficient (economic) solution to a technical problem might, then, function as a good example of the difference between ‘reasonable technical management’ that is composed of technical and business goals versus the management of just the network infrastructure itself.
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