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Energy efficiency optimization method based on low-precision ADC large-scale MIMO system

An optimization method and low-precision technology, applied in the transmission system, digital transmission system, radio transmission system, etc., can solve the energy efficiency of low-precision ADC massive MIMO system and other issues

Active Publication Date: 2019-08-30
中科联芯(广州)科技有限公司
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Problems solved by technology

[0003] In order to solve the energy efficiency problem of the existing low-precision ADC massive MIMO system, the present invention provides a resource joint optimization scheme based on energy efficiency maximization

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  • Energy efficiency optimization method based on low-precision ADC large-scale MIMO system

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Embodiment Construction

[0089] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings and attached tables.

[0090] Table 1 Approximate value of α under different quantization bit numbers b

[0091] Table 1

[0092] b 1 2 3 4 5 α 0.6366 0.8828 0.96546 0.990503 0.997501

[0093] Table 2 is the system parameter value needed in the emulation of the scheme of the present invention

[0094] Table 2

[0095]

[0096] As can be seen from Table 2, the solution of the present invention sets the required system parameters and algorithm initial values, sets the circuit power consumption of each antenna at the base station to 10mW, and sets the initial transmission power of the user to 0.1W, and the base station antenna is initialized to 128, the minimum rate of each user is set to 1.2bit / s, the maximum transmission rate of each user is limited to 0.1W, and the threshold for the end of the algorithm cycle is set to 0.0...

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Abstract

The invention discloses an energy efficiency optimization method based on a low-precision ADC large-scale MIMO system. For a low-precision ADC large-scale MIMO uplink adopting MRC receiving, the pilotfrequency length, the transmitting power and the quantization bit number are subjected to joint optimization; an energy efficiency optimization model is established by taking the pilot frequency length and the limitation of the highest transmitting power of a user side as constraint factors, an original fractal form optimization problem is converted into an equivalent reduction form according tothe property of fractional programming, and then the pilot frequency length, the transmitting power and the quantization bit number are optimized by adopting an alternating optimization algorithm.

Description

technical field [0001] The invention belongs to the technical field of information and communication engineering, and relates to a large-scale MIMO technology in a wireless communication system, in particular to an energy efficiency optimization method for a large-scale MIMO system based on a low-precision ADC. Background technique [0002] 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. In a massive MIMO system, a digital-to-analog converter (ADC) deployed on each antenna at the receiving end can convert analog signals into digital signals, and its power consumption will increase exponentially as the number of quantization bits increases. Therefore, massive MIMO systems configured with low-precision ADCs have become a research hotspot in the current academic circles. For the low-pr...

Claims

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Application Information

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IPC IPC(8): H04B7/0413H04B7/0426H04L12/24
CPCH04B7/0413H04B7/0426H04L41/145Y02D30/70
Inventor 曹海燕胡文娟杨晓慧马子昌许方敏方昕
Owner 中科联芯(广州)科技有限公司
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