Energy efficiency resource allocation method based on dynamic interference updating

Abstract

The invention discloses an energy efficiency resource allocation method based on dynamic interference updating. According to the energy efficiency resource allocation method disclosed by the invention, for an MIMO uplink adopting MRC reception, joint optimization of base station antenna number and transmitting power is performed, the highest transmitting power limitation of the client is further considered on the basis of satisfying the lowest user rate to serve as a constraint factor so as to establish an energy efficiency optimization model, being different from the method of replacing an interference term with a numerical value in the existing study, the transmitting power of the client is reallocated in each turn of iterative process in the energy efficiency resource allocation method disclosed by the invention, resulting in a change of the value of the interference term, therefore the interference term is re-calculated in every iterative process, and the interference term constant scheme in the existing study is replaced by a manner of updating the interference term in real time. By adoption of the energy efficiency resource allocation method disclosed by the invention, higher energy efficiency can be obtained by lower resource consumption, and meanwhile the system throughput is better.

Description

technical field [0001] The invention belongs to the technical field of information and communication engineering, relates to a large-scale MIMO technology in a wireless communication system, and in particular relates to an energy-efficient resource allocation method based on dynamic update of interference. Background technique [0002] In recent years, with the improvement of requirements for wireless communication equipment and multimedia services, the traffic in wireless communication networks has increased dramatically. Massive multiple-input multiple-output (MIMO) systems can greatly improve the channel capacity and reliability of the system by making full use of space diversity technology, so it has attracted extensive attention from academia and industry. However, as the number of antennas increases, the energy consumption in massive MIMO systems also increases. Therefore, how to allocate system resources reasonably to achieve efficient signal transmission has become a...

AI Technical Summary

Problems solved by technology

[0003] For the massive MIMO uplink communication system using MRC reception, the interference cannot be completely eliminated due to the low complexity of signal processing

In order to reduce the complexity, the existing algorithm research adopts the method of replacing the interference item with the maximum tolerable constant value, so that the originally dynamically changing interference is always a fixed value, which has a great impact on the accuracy of the algorithm

Moreover, when allocating energy efficiency resources, most of the existing research only conducts power allocation, and there are few studies on the joint optimization of the number of base station antennas and power.

In terms of the constraints of optimizing the objective function, the total transmit power is limited, and there is no power limit for a single user, which can easily affect the fairness of users

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