Abstract:

A revision of the formulation on optimal criteria in digital signal processing is required upon the growing number of antennas in wireless communication systems. In particular, the advent of MIMO technology has led to the fact that the flexibility of configuring the communication system allows to adaptively control the signal strength depending on the requirements of the quality of service. The ability to change the conditions of signal transmission in wide ranges allows to redistribute power resources to more "weak" users and thereby provide a high-quality connection to a larger amount of end subscribers. To do this, it is necessary to move away from the linear problem with linear constraints (average power) to the optimization problem with quadratic constraints (taking into account the power per antenna port). In this work we give such an example and demonstrate the work of conic programming methods to solve the problem in a new formulation.