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, video clips and text) to their mobile phones during the day In the hotspot case an operator would predict that there would be many receivers in a service area during the service provisioning Therefore the data are delivered to the cells in the service area over p-t-m con guration without regarding an explicit knowledge of the existence of receivers The group of receivers may be a combination of both passive and active devices, such that the exact con guration of the hotspot change may be service- or operator-speci c One frequently-used example is the so-called football stadium scenario In this scenario a service is provided to the football match spectators in the stadium area to receive replays of highlights and information on the progress of other matches taking place at the same time 105.

Double-click the Network Neighborhood icon on your desktop to open the Network Neighborhood window (see Figure 7-14).

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In 5 we show that the entropy of a random variable is a lower bound on the average number of bits required to represent the random variable and also on the average number of questions needed to identify the variable in a game of 20 questions We also show how to construct representations that have an average length within 1 bit of the entropy The concept of entropy in information theory is related to the concept of entropy in statistical mechanics If we draw a sequence of n independent and identically distributed (iid) random variables, we will show that the probability of a typical sequence is about 2 nH (X) and that there are about 2nH (X) such typical sequences This property [known as the asymptotic equipartition property (AEP)] is the basis of many of the proofs in information theory.

3 MBMS System Architecture The starting point in the MBMS architecture de nition was the ef ciency of resource usage multiple receivers should share common bearer resources whenever possible In addition, there has been emphasis on reusing existing network components and protocols in order to minimize the changes to the infrastructure [38] The MBMS reference architecture is illustrated in Figure 1019 [39] (note, consistent with the other gures in this chapter, that the mobile terminals are shown on the right-hand side, although the original 3GPP speci cations normally show the terminal to network relationship from left to right) As illustrated by the gure, MBMS is implemented in the packet-switched domain of the 3GPP system MBMS introduces one new element: the broadcast/ multicast service center (BM-SC) This new element resides between packet core network and content providers.

To link the video clip directly to the current Flash document, choose File > Import. To link the video clip to the library for the current Flash document, choose File >

The $64 billion question (it used to be $64 million) of our time is how do we get this TRIP going Where does it start What s the Big Bang We ve already shown that it s not through rules, because rules can t inspire that type of certainty and risk taking If not with rules, then with what The answer, of course, lies in the realm of HOW We tend to trust people who get their HOWs right, people who are transparent, forthcoming, and open, and honest; who share credit and opportunity with us; and who communicate fully, build strong interpersonal synapses, and keep their promises In short, people with integrity They collaborate, they embrace, and they engage If you want trust, you need to nd people and companies that create circles of trust around themselves.

We later present other problems for which entropy arises as a natural answer (eg, the number of fair coin ips needed to generate a random variable) The notion of descriptive complexity of a random variable can be extended to de ne the descriptive complexity of a single string The Kolmogorov complexity of a binary string is de ned as the length of the shortest computer program that prints out the string It will turn out that if the string is indeed random, the Kolmogorov complexity is close to the entropy Kolmogorov complexity is a natural framework in which to consider problems of statistical inference and modeling and leads to a clearer understanding of Occam s Razor: The simplest explanation is best We describe some simple properties of Kolmogorov complexity in 1 Entropy is the uncertainty of a single random variable.

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