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Energy efficiency optimization method suitable for large-scale multiple-input-multiple-output system

An optimization method and multi-input technology, applied in transmission systems, radio transmission systems, diversity/multi-antenna systems, etc., can solve problems such as increasing carbon dioxide emissions, aggravating the greenhouse effect, increasing operating costs, etc., to reduce complexity, Reduce algorithm complexity and ensure the effect of system energy efficiency

Active Publication Date: 2016-09-07
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

A large amount of energy consumption not only increases operating costs, but also increases carbon dioxide emissions, aggravates the greenhouse effect, and brings serious environmental problems

Method used

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  • Energy efficiency optimization method suitable for large-scale multiple-input-multiple-output system
  • Energy efficiency optimization method suitable for large-scale multiple-input-multiple-output system
  • Energy efficiency optimization method suitable for large-scale multiple-input-multiple-output system

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Embodiment Construction

[0028] Below in conjunction with accompanying drawing, the present invention will be further described:

[0029] Such as figure 1 As shown, the embodiment of the present invention considers a typical single-cell downlink massive MIMO wireless communication system, and the system model is as follows figure 1 As shown in , the base station is configured with M antennas and communicates with K single-antenna users at the same time. The channel matrix from the base station to the kth user is a complex Gaussian matrix with a mean of 0 and a variance of 1, which can be expressed as h k =[h k,1 , h k, 2 ... h k,M ], then the channel matrix H of the whole system = [h 1 T , h 2 T ... h k T ] is a K×M matrix. then combine figure 2 Illustrate the concrete implementation method of the present invention, this method comprises the following steps:

[0030] Step 1. According to the property that the system energy efficiency is a quasi-concave function about the number of anten...

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Abstract

The invention discloses an energy efficiency optimization method suitable for a large-scale multiple-input-multiple-output system. The method comprises the steps: firstly creating an energy efficiency optimization model of a joint optimization base station antenna number, an antenna subset and transmission power; secondly proposing a low-complexity iterative search method, supposing that the base station antenna number is M, and carrying out the traversal of the base station antenna number from one to M; thirdly selecting one antenna number and then employing a suboptimal antenna selection algorithm based on a channel matrix norm for the selection of an antenna subset, wherein the energy efficiency is a quasi-concave function of transmission power after the antenna number and the antenna subset are determined, so the optimal transmission power can be solved through employing a convex optimization theory, and at this moment the energy efficiency corresponding to the optimal transmission power is the optimal energy efficiency under the current antenna number; finally comparing the energy efficiencies of M times, and obtaining the optimal energy efficiency of the system, the optimal antenna number, the antenna subset, and the transmission power. The method can reduce the cost of the system while improving the energy efficiency.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and specifically designs an energy efficiency optimization method suitable for a massive MIMO system, and in particular relates to an energy efficiency optimization method for a single-cell multi-user massive MIMO system. Background technique [0002] Due to the gradual increase in the number of mobile communication users and the rapid development of broadband multimedia services, people have higher and higher requirements for the transmission rate and performance of communication systems. The development of the fourth generation communication system. In order to meet people's increasingly progressive needs, research on technologies related to fifth-generation mobile communications has been launched. At the same time, a high transmission rate means more energy consumption. Relevant research shows that the energy consumption of the base station is the main part of the energy consum...

Claims

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Application Information

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IPC IPC(8): H04W52/42H04B7/04
CPCH04B7/0426H04W52/42
Inventor 唐宏赵迎芝叶宗刚刘远航
Owner CHONGQING UNIV OF POSTS & TELECOMM
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