Optimization method for balancing energy efficiency and spectral efficiency in 5G IOT communication

Abstract

The embodiment of the invention discloses an optimization method for balancing energy efficiency and spectral efficiency in 5G IOT communication, and the method comprises the steps: firstly building asystem model, and obtaining the position information of user equipment; secondly, determining the number of activated antennas required by base station communication by adopting an MIMO antenna distribution mechanism; then proposing a multi-objective optimization problem taking simultaneous maximization of energy efficiency and spectral efficiency as an objective; rewriting a multi-objective optimization problem as a single-objective optimization problem, and simplifying the multi-objective optimization problem as a D.C. Planning problem; and finally, approximating D.C. The planning problem is a convex optimization problem, and the optimal sending power of the base station is obtained by adopting a weighing power distribution algorithm. According to the embodiment of the invention, the influence of the antenna selection sleep mechanism on the system energy consumption is considered, the resource allocation can be dynamically adjusted according to the energy efficiency and frequency efficiency preference requirements in engineering practice, the effect of optimizing the energy efficiency and the spectrum efficiency at the same time is achieved, and the high-speed and low-energy-consumption transmission of mass connections in 5G IOT communication can be realized.

Description

technical field [0001] The embodiment of the present invention belongs to the technical field of mobile communication systems, and in particular relates to a trade-off optimization method for energy efficiency and spectrum efficiency, which can be used for 5G IOT communication using a massive MIMO system. Background technique [0002] In recent years, 5G technology, big data cloud computing, and artificial intelligence have flourished, providing strong technical support for the Internet of Everything, and the application of 5G Internet of Things has exploded. Faced with the challenges brought by massive connections and large data traffic application scenarios, 5G IoT must focus on how to make full use of the existing scarce spectrum resources to improve spectrum utilization and achieve green high-speed, low-energy transmission. [0003] MIMO technology is considered to be one of the key technologies in 5G broadband wireless communication. It can transmit and receive through ...

AI Technical Summary

Problems solved by technology

In the article "Research on Energy Efficiency Optimization Methods in Massive MIMO Systems", Liu Yongli et al. introduced pareto sets to jointly optimize energy efficiency and spectral efficiency, established a multi-objective optimization problem to maximize energy efficiency and spectral efficiency, and then used economics The compromise vector obtained by the Cobb-Douglas function is converted into a single-objective optimization problem, and the energy efficiency, spectrum efficiency and the transmit power and the number of antennas corresponding to the compromise vector are optimized and analyzed, but the system energy consumption is not considered The effect of the number of active antennas on the power consumption of the circuit

In the article "Research on the Tradeoff between Energy Efficiency and Spectrum Efficiency in Massive MIMO Systems", Li Cong and others designed a multi-objective adaptive genetic algorithm, which can quickly converge to the ideal compromise Parto front at an efficient running speed, and obtain different designs. The optimal transmission power and number of antenna configurations are obtained under the requirements, but the preference for energy efficiency and spectrum efficiency in engineering practice is not considered

Images