Joint network optimization in cooperative transmission networks with imperfect CSI

摘要: This paper investigates the power efficiency in downlink cooperative networks under spherical channel uncertainties, using a worst-case robust formulation. The aim of this is to jointly optimize base station (BS) operation mode, mobile user (MU) association, and beamformings achieve network gain. We formulate problem as mixed-integer non-convex with infinite number signal-to-interference-plus-noise ratio (SINR) maximum transmit constraints, which nontrivial solve even without constraint. By firstly translating uncertainty CSI its covariance matrix, SINR constraint spans convex set Lagrangian based method. Due coupled integer variables, complexity exhaustive search grows exponentially size, motivating develop low-complexity heuristic algorithms. propose via novel two-layer (TL) algorithm: inner outer layer, successively. Specifically, BS mode determined successively layer Rank Successive Search (RSS) method, while an iterative Difference Convex (DC) algorithm proposed determine MU association. Simulation results illustrate that can significantly reduce total consumption over existing alternatives.