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An Energy-Efficient Resource Optimization Method Based on Constrained Markov Decision Process

A Markov decision-making and resource optimization technology, applied in the direction of advanced technology, energy consumption reduction, climate sustainability, etc., can solve problems such as resource optimization difficulties

Active Publication Date: 2019-04-09
白盒子(上海)微电子科技有限公司
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Problems solved by technology

[0004] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides an energy-efficient resource optimization method based on a constrained Markov decision process in a large-scale antenna system to solve serious interference in multi-cell scenarios (multivariate coupling) In the case of resource optimization, it is difficult to solve the problem. The method of the present invention is easy to implement and fast in convergence, and can effectively improve the energy efficiency of large-scale antenna systems under the premise of ensuring the quality of service of user data transmission rate

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[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Considering the uplink of a large-scale antenna system, the wireless communication scenario contains L cells, and each cell has a base station equipped with M antennas and K users with a single antenna; assuming that the communication in the system is a narrowband communication process, the base station uses Linear reception detection mode, and the user's transmit power is limited, and the user's transmission rate must meet the quality of service requirements. The implementation process of the energy-efficient resource optimization method based on the constrained Markov decision process in the large-scale antenna system is as follows.

[0048] 1. Establish a mathematical model based on constrained Markov decision process for wireless communication scenarios

[0049] (11) Set the number of quantization segments QS of channel gain and the number of quantization s...

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Abstract

The invention discloses an energy-efficient resource optimization method based on a constrained Markov decision-making process in a large-scale antenna system, based on the modeling of the constrained Markov decision-making process; the original optimization problem is transformed into Unconstrained form; using the improved value iterative algorithm to obtain the optimal resource allocation strategy. The present invention solves the problem of difficult resource optimization solution in the case of severe interference (multi-variable coupling) in a multi-cell scenario in a large-scale antenna system, and the designed algorithm is easy to implement and fast in convergence, and can guarantee the service of user data transmission rate Under the premise of high quality, the energy efficiency of large-scale antenna systems can be effectively improved.

Description

technical field [0001] The invention relates to an energy-efficient resource optimization method based on a constrained Markov decision process in a large-scale antenna system, which belongs to the resource allocation technology in a mobile communication system. Background technique [0002] Large-scale antenna technology has become a key technology in future mobile communications due to its high spectral efficiency and high energy efficiency. However, as the number of antennas increases, the overall fixed power consumption of the antennas will also increase sharply, and the power model needs to be rebuilt. At the same time, the computational complexity of conventional beamforming operations such as zero-forcing and minimum mean square error will increase sharply. Fortunately, the characteristics of the large-scale antenna system make the simplest maximum mixing ratio beamforming achieve excellent performance. However, the maximum mixing ratio beamforming cannot suppress the...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W72/04
CPCH04W72/53Y02D30/70
Inventor 蒋雁翔李鹏郑福春高西奇尤肖虎
Owner 白盒子(上海)微电子科技有限公司
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