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Having understood the orthogonality requirements, we now present a sequential (SEQ) strategy for (essentially) orthogonal pulse design. The procedure starts with the design of the rst pulse p1 (t) subject to the mask constraint only. Subsequent pulses pk (t), k 2, . . . , K, are then designed one by one to t into the desired spectral mask, as well as to be (essentially) orthogonal to all previously designed pulses. To put this approach in a mathematical form, we suppose that (k 2 1) (essentially) mutually orthogonal pulses {pm (t)}k 1 are already in place. m 1 Rather than directly minimizing the approximation error of the kth pulse, kP(d) ( f ) Pk ( f )kL (F p ) , we minimize the -norm of an N-element vector x whose k N nth element is P(d) ( f n ) Pk ( f n ), fn [ Fp . In the case where , 1, this correk sponds to minimizing the N-point centered Riemann sum approximation of p kP(d) ( f ) Pk ( f )kL (F p ) . Since P(d) ( f n ) wk n S( f n ), the subproblem in the k k sequential design strategy can be formulated as follows.



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In the previous sections, it has been shown that the UMTS network imposes some strict demands on the UTRAN transmission infrastructure. These demands, in comparison to other systems as e.g. GSM, arise from the higher capacity of UMTS networks, especially in dense urban areas where a significant increase in the number of Node Bs and a growth of the bit rate are being observed. Additionally, the number and type of served services as well as transport format (ATM or IP) effect the capacity of UTRAN transmission links. In many cases, the transmission infrastructure has to serve base stations of two networks (GSM and UMTS), and requirements for both systems have to be considered during backhaul network planning. The UTRAN backhaul network has to fulfil high transmission requirements of Node Bs and provide a low purchase and operating cost, good transmission quality and reliability, flexibility and scalability. Some possible solutions for UTRAN transmission infrastructure have been presented in Sections 17.4 and 17.5. Due to an easy network installation and extension, the fixed radio systems (e.g. PTP, PMP, LMDS and WiMAX) seem to be the most suitable. For the PTP systems, the spectrum efficiency is the highest, but the costs, large number of required antennas and inflexibility of this approach rise serious problems. The PMP or WiMAX systems are much more flexible, but their cost-effectiveness depends on the application. In the case of supporting a UMTS backhaul network, dedicated methods of finding a cost-effective solution are required. These methods and some comparative results for applications of PTP and LMDS in UTRAN will be presented in following sections.

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The needed number of trees is picked up into the frontal variable Ftrees (holding physical objects rather than information), and the external procedures plant plants one tree from Ftrees in each PW point visited, automatically reducing the number of trees in Ftrees. We may rewrite this program without the use of procedures Fprx and Fpry, as one integral spatial module, just to show some other possibilities of the language. For this, all x coordinates of the PW points to be visited are calculated in advance and stored in a nodal variable Nxx and then used in parallel by simultaneous access to all elements of the vector Nxx allowed by the language (by just naming the vector as a move). The modi ed program will look as follows:

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