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A low-complexity quantization bit selection method for uplink of massive MIMO system

A quantized bit, low-complexity technology, applied in the transmission system, radio transmission system, diversity/multi-antenna system, etc., can solve the problem of system reachable rate loss, etc., and achieve simple and easy calculation, fast selection speed, and good system The effect of transmission performance

Active Publication Date: 2021-11-23
JIANGSU UNIV
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Problems solved by technology

However, using a low-precision ADC will result in a loss of system achievable rate

Method used

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  • A low-complexity quantization bit selection method for uplink of massive MIMO system
  • A low-complexity quantization bit selection method for uplink of massive MIMO system
  • A low-complexity quantization bit selection method for uplink of massive MIMO system

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Embodiment Construction

[0042] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0043] This method comprises the following steps:

[0044] Step 1: The bandwidth B of the input signal, the number of receiving lines N, the number of users K, and the power consumption of the phase shifter network P PS , RF link power consumption P RF , ADC power consumption factor C, sampling rate W and user power consumption p u , and quantization bit upper and lower limit parameter b min , b max ;

[0045] Step 2: If b min max -1, iteratively search for the quantized bit with the best en...

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Abstract

The invention discloses a low-complexity quantitative bit selection method for the uplink of a massive MIMO system. First, the input signal bandwidth, the number of antennas, the number of users, the power consumption of the phase shifter network, the power consumption of the radio frequency link, the sampling rate and the transmission rate of the user Power and other related parameters and the upper and lower limit parameter information of the number of quantized bits; secondly, select two intermediate quantized bit numbers in the upper and lower limits, and calculate the system energy efficiency corresponding to the two quantized bit numbers; then, through multiple numerical comparisons, iteratively search Quantization bits with optimal energy efficiency; finally, output the optimal number of quantization bits after several calculations. The present invention can solve the problem of low-complexity quantitative bit selection for the uplink of a large-scale MIMO system with a low-precision ADC with a large number of users, and is suitable for two algorithms of hybrid beamforming and full digital beamforming, and has low complexity , easy hardware implementation and high energy efficiency.

Description

technical field [0001] The invention relates to a low-complexity optimum quantization bit selection algorithm applicable to the uplink of a low-precision ADC millimeter wave massive MIMO (Multiple-Input-Multiple-Output) system using a linear antenna array, belonging to the field of mobile communication. Background technique [0002] The current research on 5G communication technologies, such as non-orthogonal multiple access methods, massive MIMO technology, millimeter wave communication, and D2D communication, has attracted widespread attention in the industry. Among them, millimeter wave communication and massive MIMO technology are two promising research directions in the future 5G wireless communication system research. [0003] By using a large number of transceiver antennas on the base station side, massive MIMO systems can utilize additional degrees of freedom to transmit multiple data streams in parallel while increasing diversity gain, which can greatly increase spe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/0413H04B7/06
CPCH04B7/0413H04B7/0617Y02D30/70
Inventor 张文策夏晓璇付垠凯鲍煦戴继生
Owner JIANGSU UNIV
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