Wednesday, June 10, 2015

Google's MVNO - Project Fi is disappointing

A first look at Google's MVNO to launch in the US on the Sprint and T-Mobile networks reveals itself a little disappointing (or a relief if you are a network operator). I had chronicled the announcement of the launch from Mobile World Congress and expected much more disruption in services and pricing than what is announced here.

The MVNO, dubbed project Fi, is supposed to launch shortly and you have to request an invitation to get access to it (so mysterious and exciting...).

At first glance, there is little innovation in the service. The Google virtual network will span two LTE networks from different providers (but so is Virgin's in France for instance) and will also connect "seamlessly" to the "best" wifi hotspot. It will be interesting to read the first feedback on how the device selects effectively the best signal from these three options and how dynamically that selection occurs. Handover mid call or mid data sessions are going to be an interesting use case, Google assures you that the transition will be "seamless".

On the plus side, Google has really taken a page from Iliad's free disruptive service launched in France and one-time rumored to acquire T-Mobile US. See here the impact their pricing strategy  has had on the French telecommunications market.
  1. Fi Basic service comes with unlimited US talk and text, unlimited international text and wifi tethering for $20 per month.
  2. The subscriber is supposed to set a monthly data budget, whereas he selects a monthly amount and prepays 10$ per GB. At the end of the month, the amount of unused data is credited back for 1c / MB towards the following month. The user can change their budget on a monthly basis. Only cellular data is counted towards usage, not wifi. That's simple, easy to understand and after a little experimentation, will feel very natural.
  3. No contract, no commitment (except that you have to buy a 600+$ Nexus phone).
  4. You can send and receive all cellular texts and calls using Google hangouts on any device.
  5. Data roaming is same price as domestic but... see drawbacks

Here are, in my mind, the biggest drawbacks with the service as it is described.
  1. The first big disappointment is that the service will run initially only on Google's Nexus 6. I have spoken at length on the dangers and opportunities of a fully vertical delivery chain in wireless networks and Google at first seems to pile up the drawbacks (lack of device choice) with little supposed benefits (where is the streamlined user experience?).
  2. "Project Fi connects you automatically to free, open wifi networks that do not require any action to get connected". I don't know you, but I don't think I have ever come across one of these mysterious hotspots in the US. Even Starbucks or MC Donald free hot spots require to accept terms and conditions and the speed is usually lower than LTE. 
  3. Roaming data speed limited to 256 kbps! really? come on, we are in 2015. Even if you are not on LTE, you can get multi Mbps on 3G / HSPA. Capping at that speed means that you will not be streaming video, tethering or using data hungry apps (Facebook, Netflix, Periscope, Vine, Instagram...). What's the point, at this stage, better say roaming only on wifi  (!?).
In conclusion, it is an interesting "project", that will be sure to make some noise and have an impact on the already active price war between operators in the US, but on the face of it, there is too little innovation and too much hassle to become a mass market proposition. Operators still have time to figure out new monetization strategies for their services, but more than ever, they must choose between becoming wholesaler or value added providers.

Monday, June 8, 2015

Data traffic optimization feature set

Data traffic optimization in wireless networks has reached a mature stage as a technology . The innovations that have marked the years 2008 – 2012 are now slowing down and most core vendors exhibit a fairly homogeneous feature set. 

The difference comes in the implementation of these features and can yield vastly different results, depending on whether vendors are using open source or purpose-built caching or transcoding engines and whether congestion detection is based on observed or deduced parameters.

Vendors tend nowadays to differentiate on QoE measurement / management, monetization strategies including content injection, recommendation and advertising.

Here is a list of commonly implemented optimization techniques in wireless networks.
  •  TCP optimization
    • Buffer bloat management
    • Round trip time management
  • Web optimization
    • GZIP
    •  JPEG / PNG… transcoding
    • Server-side JavaScript
    • White space / comments… removal
  • Lossless optimization
    • Throttling / pacing
    • Caching
    • Adaptive bit rate manipulation
    • Manifest mediation
    • Rate capping
  • Lossy optimization
    • Frame rate reduction
    • Transcoding
      • Online
      • Offline
      • Transrating
    • Contextual optimization
      • Dynamic bit rate adaptation
      • Device targeted optimization
      • Content targeted optimization
      • Rule base optimization
      • Policy driven optimization
      • Surgical optimization / Congestion avoidance
  • Congestion detection
    • TCP parameters based
    • RAN explicit indication
    • Probe based
    • Heuristics combination based
  • Encrypted traffic management
    • Encrypted traffic analytics
    • Throttling / pacing
    • Transparent proxy
    • Explicit proxy
  • QoE measurement
    • Web
      • page size
      • page load time (total)
      • page load time (first rendering)
    • Video
      • Temporal measurements
        • Time to start
        • Duration loading
        • Duration and number of buffering interruptions
        • Changes in adaptive bit rates
        • Quantization
        • Delivery MOS
      • Spatial measurements
        • Packet loss
        • Blockiness
        • Blurriness
        • PSNR / SSIM
        • Presentation MOS


An explanation of each technology and its feature set can be obtained as part of the mobile video monetization report series or individually as a feature report or in a workshop.