Alocação de recursos para Sistemas SC-FDMA baseado em relaxamento e programação linear

Abstract

In this work we study the weighted data rate maximization problem in the uplink of SC-FDMA systems. Motivated by the high computational complexity to obtain the optimal solution of this problem, that is achieved through integer programming solvers, we propose an alternative solution based on variable relaxation and use of continuous linear programming. The simulation results show that our proposed scheme is able to achieve the optimal solution in 55% (at least) of the simulations with a much lower computational complexity. For the cases in which the solution obtained from the relaxed problem is not binary, this work proposes a solution to round the fractional solution to integer ones.