Weighted Sum Rate Mazimization for the MIMO-Downlink Using a Projected Conjugate Gradient Algorithm
The maximization of a weighted sum of data rates is an essential point in cross-layer based resource allocation. Several algorithms have been proposed in the literature to solve this problem for the downlink of a multiple antenna system employing dirty paper precoding at the base station. However, they all suffer from a relatively slow convergence if the true number of objective function evaluations is taken into account. In this paper, an improved conjugate gradient method is presented, that takes the power constraint into account in the calculation of the search direction. Its superior convergence properties compared to existing approaches are verified by Monte-Carlo simulations for various scenarios.
Ronald B(o)hnke Karl-Dirk Kammeyer
Department of Communications Engineering University of BremenOtto-Hahn-Allee, 28359 Bremen, Germany Department of Communications Engineering University of Bremen Otto-Hahn-Allee, 28359 Bremen, Germany
国际会议
首届无线通信跨层设计国际学术研讨会(1st International Workshop on Cross Layer Design)
济南
英文
1-4
2007-09-20(万方平台首次上网日期,不代表论文的发表时间)