Optimal Transmit Beamforming Design For Multi-input Single-output Multi-user Wireless Communication System

This paper mainly studies the wireless energy-carrying communication system model.Wireless energy is obtained by receiving external information,and then transforming the information into energy through its conversion system,so that it can meet the requirements of system operation.Now there are not many communication systems for wireless energy,so we mainly study different wireless.Optimization of the energy-carrying communication system.Firstly,in the case of no cooperation,when there are multiple information receiving users and one energy receiving user,the energy receiving users can find the constraints under the minimum receiving energy.An optimal beam vector that satisfies the maximum and minimum information rate of multiple information receiving users.For an information receiving user and multiple energy receiving users,under the condition that the power of the information base station and the energy base station is constrained,all energy receiving users can find an optimal beam under the constraint of minimum receiving energy.The vector is such that it meets the maximum information rate of the information receiving user.Second,in the case of cooperation,for multiple information receiving users and one energy receiving user,under the power constraint of the information base station and the energy base station,and under the energy constraint of the minimum receiving energy of the energy receiving user,one can find the most Excellent beam vector,which satisfies the maximum and minimum information rate of multiple information receiving users.For an information receiving user and multiple energy receiving users,under the power constraint of the information base station and the energy base station,and under the energy constraint of all energy receiving users,an optimal beam vector can be found to satisfy the information receiving.The user's maximum information rate.Specific method:1.For a single information receiving user's system,we mainly consider two models,one is a single information receiving user two energy receiving users,we use the form of variable combination to convert the optimization problem equivalently,and then through the semi-determined The planning algorithm solves the problem.The second model is that there is a single information receiving user multiple energy receiving users.We use the Charnes-Cooper algorithm to transform the original optimization problem,and then use the semi-definite programming algorithm to solve the problem.2.For the system of multiple information receiving users,we mainly consider two models,one is multiple information receiving users and one energy receiving user.To solve the problem,we first solve the problem by rotating the elimination method.Simplify,then use the semi-definite programming algorithm to transform,and finally use the fractional algorithm to transform the problem,making its objective function linear.Then solve the problem.The second is to analyze the external interference situation and solve the problem by the same algorithm.