Download Applications of resource optimization in wireless networks by Patrik Björklund. PDF

By Patrik Björklund.

ISBN-10: 9185523410

ISBN-13: 9789185523412

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We first present two linear integer formulations: a node-slot formulation for MNP, and a link-slot formulation for MLP. We then formulate the two problems using set covering formulations, for which we will derive the column generation method. , |T |} be a set of time slots. To ensure feasibility of MNP, it is sufficient to have |T | = |N |. We introduce the following binary variables. xit = yt = 1 0 1 0 if time slot t is assigned to node i otherwise. if time slot t is used otherwise. MNP can be formulated using the following node-slot formulation (NSF).

For the formulation NSF, the table displays the number of time slots of the best integer solution found within the time limit, the lower bound provided by the LP-relaxation, and the computing time. Note that, if the computing time is less than the limit (10 hours), then the best integer solution has been proven to be optimal; otherwise CPLEX has either not found the optimal solution, or did not verify optimality. 1s 1s 10h* 10h* 10h* 10h* NSCF (Column Generation) Slots LP Iter. 1: Numerical results for node-oriented assignment.

The physical ways to perform FH in a cell are baseband hopping and synthesized hopping. In baseband hopping, every TRX is assigned to a fix frequency, while the channel is shifted between the TRXs. The number of frequency carriers must be equal to the number of TRXs. The other scheme is synthesized hopping, where a channel stays at a certain TRX, while the TRX shifts among the available frequencies. In the latter method, the number of carriers is greater than or equal to the number of TRXs. The procedure is to allocate different Mobile Allocation Lists (MAL) of frequencies to all TRXs.

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