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at the rate of R probes/s. At some point it will start spanning the address block assigned to the local network, say of size L (for example, L = 212 for a /12 block). This will result in an impulse of incoming traf c lasting L/R s. If we count the traf c in time bins of length > L/R and assume that the whole burst falls within a single time bin, the packet count in this bin will jump by L. If the address space allocated to the network consists of several noncontiguous blocks, we will observe a different spike for each block. The height of each spike equals the width of the block, and the separation in time directly relates to the distance in the address space between the blocks. In other words, the probe traf c generated by a sequential high-rate scanning source causes an arrival rate pattern at the peering link that mirrors the address space allocation to the local network. If the scanner source keeps cycling into the address space, such patterns will appear periodically. We observed exactly this phenomenon in the real network: in Figure 10.8(c) we report the arriving packet rate measured at the peering links for the traf c sent by a single external IP address identi ed as a high-rate sequential scanner (S1 source). In the gure, packets are counted in time bins of 1 min. In practice, the probe packets arrive clustered into bursts of very short duration, corresponding to a relatively high bit rate (undisclosed). We observed several high-rate scanners, periodic

(1.63)

Figure 10.12 Possible offsets of indicators based on probability density functions: (a) dualcomponents distribution and (b) spiky distributions.

Recall that in an ideal system the OFDM subcarriers are orthogonal to one another over one symbol period of 3.2 s. As an example consider the first and second subcarriers. By definition of orthogonality,

To evaluate the transmit and receive capability of the antenna systems, Equation (6.1) is rewritten as Equation (6.6): ! & Pr (v) 10 log 10 log 1 jGt (v)j2 1 jGr (v)j2 Pt (v) 2 ' 2 l ^ ^ Gr (v)Gt (v)jrt (v) rr (v)j 10 log (4pr 2 ) 4p h(dB) 10 log (4pr 2 ) (6:6)

(5.28)

aADR midpoint life means the useful life of an asset in a business sense; the appropriate ADR midpoint lives for assets are designated in the tax regulations.

(6.33)

3600 4861

Risk . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 Cost . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Customization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Satisfaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

<xsd:sequence> <xsd:element name="Person" type="BasicPersonType" minOccurs="0" maxOccurs="unbounded"/> </xsd:sequence> </xsd:complexType> </xsd:element> <xsd:complexType name="BasicPersonType"> <xsd:sequence> <xsd:element name="Name" type="BasicNameType" minOccurs="1" maxOccurs="1"/> </xsd:sequence> </xsd:complexType> <xsd:complexType name="BasicNameType"> <xsd:sequence> <xsd:element name="FirstName" type="xsd:string" /> <xsd:element name="MiddleInitial" type="xsd:string" minOccurs="0" maxOccurs="10"/> <xsd:element name="LastName" type="xsd:string"/> </xsd:sequence> </xsd:complexType> </xsd:schema>

A term X is spelled the same way as a term Y, which has a different meaning. A term X is broader in meaning than a term Y. A term X is narrower in meaning than a term Y. A term X is associated with a term Y, i.e., there is some unspecified relationship between the two.

originally determined Corrections to its dependence to the carrier density can be included in more consistent treatments The result is a dramatic broadening of the optical lineshape above the usual Schawlow Townes [17] limit by a factor of 1 + 2 Since most lasers have 4 6, this effect can be readily observed [18] Therefore, solitary semiconductor lasers can be most uninteresting in dynamical terms, since they simply possess a steady state as determined by the amplitude of the field and the inversion The phase is naturally determined also, however, it is a dependent quantity and does not enter in to the dynamics However, this ceases to be the case when external influences are introduced and additional terms appear in the field equation or the inversion.

l =1

These formats are used in the following fragment:

In Equation (14.7), TPk denotes the total throughput in cell k. The objectives defined above are particularly important for a highly loaded network with many disconnected mobiles due to cell capacity limitations. If most mobiles can be served, optimisation of capacity criteria improves the network for supporting future traffic growth. Setting an optimisation target for capacity only can, in extreme cases, cause the quality to drop. If the focus solely lies on connecting as many users as possible, users that are close to the base station might be preferred and more distant users neglected. The percentage of good connections may therefore be used to benchmark the optimised network. Similarly, for data services one may look at the percentage of re-transmissions and/or bit rate degradation where the network fails to supply the required bit rate for a specific service level. All these values are highly sensitive to the total absolute number of served users or throughput elaborated in the previous section. It is best to always use a combination of these targets, setting the flavour by the definition of the objective functions.