Beam forming optimization method of online NOMA multi-antenna system based on Lyapunov theory

Abstract

The invention provides a beam forming optimization method of an online NOMA multi-antenna system based on the Lyapunov theory. An online mode is considered, the data causality is solved via the Lyapunov theory, a long-term time average optimization problem is converted into an optimization problem of each moment, slack variables are imported by using a concave-convex optimization algorithm, multi-dimensional first-order Taylor expansion is performed to solve the non-convex problem of objective functions and constraints, and optimal beam forming and power allocation schemes at each moment are obtained through iteration.

Description

technical field

[0001] The present invention relates to the technical field of wireless communication, and more specifically, relates to a beamforming optimization method of an online NOMA multi-antenna system based on Lyapunov theory. Background technique

[0002] In recent years, with the rapid development of mobile communications, spectrum resources have become more and more scarce. Facing the rapidly growing demand for mobile services, how to effectively improve the utilization of limited spectrum resources has become an urgent need for the fifth generation (5G) mobile communication system. One of the key problems to be solved. With the feature of effectively improving system capacity, Non-Orthogonal Multiple Access (NOMA) technology is widely considered to be a promising multiple access technology. The basic idea of ​​NOMA is to use power multiplexing technology to transmit in a non-orthogonal manner at the transmitting end, actively introduce interference information,...

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