A max-min fair resource allocation method for massive mimo systems for wireless energy transfer

Abstract

The invention provides a max-min fairness-based resource allocation method for a large-scale MIMO system for wireless energy transmission, under the constraint of considering the maximum transmittingpower and the charging time of the energy tower, the minimum rate maximization of system users is realized by controlling the transmission power and the charging time of the energy tower to each user.A max-min fairness-based resource allocation model of the large-scale MIMO system for wireless energy transmission is established, the closed-form solution of the energy tower for power distributionof each user is given, an original non-convex optimization problem is converted into a convex optimization problem through variable replacement, the optimal energy charging time is solved and obtainedthrough an optimal equation of the convex optimization problem, and finally the minimum value of the user rate of the system is obtained.. The method has low complexity, the fairness of a user and the energy efficiency of the system are improved, and the method has the advantages of being high in feasibility and practicability.

Description

technical field [0001] The invention belongs to the field of resource allocation in a massive MIMO system, in particular, a resource allocation method for joint power and time based on max-min fairness in a massive MIMO system of wireless energy transmission. Background technique [0002] In recent years, with the rapid development of the mobile communication industry, the number of mobile users has increased sharply, and resources are seriously scarce. Therefore, wireless energy transmission has received more and more attention. Wireless energy transmission technology can not only be used in biomedicine, marine survey, wireless transmission In many aspects, such as the sensory network, it brings convenience to human beings to a large extent. Multiple-input multiple-output (MIMO) technology can transmit and receive through multiple antennas, make full use of space resources to improve channel capacity and system stability, so it is considered one of the key technologies in t...

AI Technical Summary

Problems solved by technology

Assuming that there is known channel state information between the base station and the energy tower, the zero-forcing (ZF) method is used to receive, but the fairness of the rate between users is not considered

[0004] At present, most scholars do not consider user fairness when studying massive MIMO, and rarely consider massive MIMO systems combined with wireless energy transmission, but the rate fairness of sensor nodes in actual systems is very important, only fairness Only when the user performs rate allocation can the survival time of sensor nodes in the entire network be effectively improved.

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