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The internet has been able to scale up from millions to billions of users over the past few years due to the simplicity of its design.
We want to focus on projects which serve billions of users at scale and which make a big difference in their every day lives".
Hardware companies are struggling to reconcile the higher cost of securing devices with the danger to billions of users that comes with cheaping out on crucial parts.
The amount of personal data that social networking sites like Facebook, Google Plus and Twitter have harvested from their billions of users is shocking.
But the online-advertising business has come to depend heavily on scale: to attract significant advertising revenue, you must have access to millions, even billions, of users.
With billions of users yet to upgrade, that leaves lots of room for very profitable growth for the handset makers, carriers, advertisers – and anyone who gets paid when their patented technology is used in a handset.
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The constraints of the optimization problem refer to the 50th, 90th and 95th percentiles of users waiting time from which LOS depends.
Where: t w 50%%, t w 90%%, t w 95%% are the 50th, 90th and 95th percentiles of users waiting time, expressed in minutes.
t w 50%%, t w 90%%, t w 95%% are the 50th, 90th and 95th percentiles of users waiting time, expressed in minutes.
Fig. 4 Achievable rate lower bounds of the 2nd and 4th users with imperfect estimation vs. antenna array scale M. Figure 5 and Fig. 6 show the SE and EE of the FD and HD systems versus the antenna array scale according to (43), (44), (45), and (46).
The 95th percentile of user's waiting times results equal to 1.84 min, the 90th percentile equal to 0.04 min and the 50th percentile equal to 0 min.
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