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10.1.5.3.3 Conclusion GSM WP1 elaborated a fairly comprehensive list of supplementary services in recommendation GSM 02.04 in the set of speci cations for tendering of infrastructure in March 1988. But the detailed technical speci cation work was cumbersome and time consuming. Therefore GSM phase 1, the speci cation used for the opening service in 1991/1992 contained only some barring and call forwarding services. The rest was speci ed and implemented in GSM phase 2 only.

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An additional advantage was that the Permanent Nucleus of the GSM group, led by Bernard Mallinder, was being installed in Paris, only about 2 km away from CNET, and could therefore be associated with the testing activities. The results of the tests have been reported by Thomas Haug in the preceding section. If one considers more precisely the impact of the Franco-German co-operation two remarks can be made. The rst one is that the four Franco-German demonstrators were certainly among the better engineered, as the project had been properly funded and managed in the framework of formal procurement contracts. Because of this they have certainly contributed to establishing the necessary con dence in the feasibility of a digital solution. The second is that the SFH 900 project has played a vital role in demonstrating the value and feasibility of slow frequency hopping combined with narrowband TDMA. Narrowband TDMA was eventually selected, rather than wideband TDMA as used in CD 900, because it was a technology easily accessible to most manufacturers. It also offered a greater exibility with respect to spectrum usage and had lower requirements on signal processing in the terminals. But it is less powerful to counter the effect of either multipath propagation or co-channel interference. This why slow frequency hopping was needed. With slow frequency hopping narrowband TDMA can effectively compete with a wideband solution.

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R2 is the same value as X. Thus, the outcome of a sequence of two XORs using the same value produces the original value. To see this feature of the XOR in ...

Programmable networks have been proposed as a solution for the fast, exible, and dynamic deployment, customization and management of new network services. Programmable networks are networks that allow the functionality of some of their network elements to be programmed dynamically. These networks aim to enable the easy introduction of new network services by adding dynamic programmability to network devices such as routers, switches, and application servers. Dynamic programming refers to executable code that is injected into the network element in order to create the new functionality at run time. The basic idea is to enable third parties (end users, operators, and service providers) to inject application-speci c services (in the form of code) into the network. Applications may utilize this network support in terms of optimized network resources and, as such, they become network aware. Programmable networks allow dynamic injection of code as a promising way of realizing applicationspeci c service logic, or performing dynamic service provision on demand. As such, network programming provides unprecedented exibility in telecommunications. However, viable architectures for programmable networks must be carefully engineered to achieve suitable trade-offs between exibility, performance, security, and manageability. Many concepts for programmable networks have been proposed recently. Depending on the literature, the de nition of the programmable network varies. For example, Campbell et al. [21] de ne two schools of thought that have emerged to make networks programmable. The rst one is spearheaded by the Opensig community that was established through a series of international workshops [38],

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Note that the form of the derivatives means that we either have to introduce ghost grids points at {x 1 , x0 } and {xN+1 , xN+2 }, or we only perform the fi on the sublattice {x2 , x3 , . . . , xN 3 , xN 2 }. The following implementation from the ppf.math.piecewise polynomial fitting module performs the fittin on the sublattice and the solution of the upper diagonal system of linear equations is carried out by the solve upper diagonal system function to be found in the ppf.math.linear algebra module.

In order to create a new distributed object of a particular type, a factoryneeds to complete a number of tasks. It first needs to create a new object in main memory. Secondly, it should initialize the object s instance variables, probably using application-specific values that were passed as parameters to the object creation operation. The first two steps do not need any further explanation in the context of this book as they are done using standard objectoriented programming language concepts, such as constructors.

with(linalg): with(codegen, makeproc, C): ms := proc(s)

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