Millimeter wave joint beam selection and power distribution optimization method

An allocation optimization, millimeter-wave technology, applied in the field of signal communication, can solve problems such as unconsidered interference between users, interference between users of terminal equipment, high power consumption, etc., achieve near-optimum spectral efficiency, solve interference between users, and use a large number of Reduced effect

Active Publication Date: 2021-08-06
INNER MONGOLIA UNIVERSITY
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Problems solved by technology

[0002] The problems of high hardware complexity and high power consumption in millimeter-wave massive MIMO systems have always attracted much attention. The main function of beam selection is to reduce the number of radio frequency links used, thereby reducing system hardware complexity and power consumption. Currently, Related research still has serious limitations and bottlenecks
However, with the deepening of the research, the researchers found that the antenna selection technology will lead to a significant decrease in the spectral efficiency of the communication system without increasing the power of the transmitting end.
In order to obtain near-optimal spectral efficiency while reducing system power consumption, P.V.Amadori proposed three classic beam selection schemes in the beam space in 2015. The principles are based on the amplitude of the signal power, the signal interference of the receiver, and Noise ratio and system capacity are used as the reference basis to select the main beam, thereby reducing the number of radio frequency links, but because it does not consider the interference between users, the spectral efficiency of the system has not been greatly improved
In 2016, the team of Professor Dai

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  • Millimeter wave joint beam selection and power distribution optimization method

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Embodiment 1

[0055] The system model, the millimeter-wave massive MIMO-NOMA system model based on the 3D lens antenna array uses a large-scale two-dimensional planar antenna array at the base station, which has the advantage of increasing the channel vertical dimension and forming a more accurate directional beam pair service area for more comprehensive coverage, such as figure 1 shown.

[0056] The millimeter-wave channel is sparse, and the physical characteristics of the millimeter-wave channel can be fully utilized to establish a theoretical analysis framework for a millimeter-wave mobile communication system based on a 3D lens antenna array. Considering a single-cell downlink communication system, the received signal vector y d It can be expressed as

[0057] the y d =H H u H FPs+n (1)

[0058] where y d =[y 1 ,y 2 ,...,y K ] T is the receiving signal vector; H=[h 1 , h 2 ,...,h K ] is an N×K-dimensional channel matrix, h k is the N×1-dimensional space domain channel vec...

Embodiment 2

[0072] Combined beam selection and power allocation technology, the key to the successful application of beam selection technology is to make full use of CSI to select the optimal beam and transmit accurate information. Under the condition that the system and rate are infinitely close to the all-digital system and rate, its power consumption and hardware complexity are far lower than those of the all-digital system. However, in the process of exploring beam selection technology, due to the existence of shared beams, the problem of inter-user interference often occurs. Therefore, if the problem of inter-user interference can be effectively solved, the overall transmission performance of the system can be greatly improved. In order to ensure that the beam selection algorithm proposed in the present invention has the superior performance of high sum rate, low complexity, and low power consumption, the present invention analyzes the characteristics of interfering users and non-inte...

Embodiment 3

[0156] The influence of different number of users on spectrum efficiency and energy efficiency is analyzed. In order to explore the influence of different number of users on the spectrum efficiency and energy efficiency of various algorithms, under the condition of different number of users, the full digital system, MM beam selection (two One beam serves one user), MS beam selection (one beam serves one user), IC beam selection (one beam serves one user), MM beam selection (one beam serves one user), and the joint beam selection and power allocation iterative algorithm (referred to as : The spectral efficiency and energy efficiency of PAI) have been compared with related simulations. Such as figure 2 It is a comparison chart of spectrum efficiency and energy efficiency of various algorithms under different number of users, where the number of antennas is 64, the SNR is 10dB, the number of users is 2-16, and the dimension of the channel matrix is ​​up to 64×16.

[0157] from ...

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Abstract

The invention discloses a millimeter wave joint beam selection and power distribution optimization method, which utilizes increment and decrement algorithms to carry out matrix reconstruction on non-shared beams appearing under different grouping conditions so as to realize a joint beam selection and power distribution optimization scheme with low complexity and high spectrum efficiency. A non-convex objective function is converted into a convex objective function by using a Sherman-Morrison-Woodbury formula and a minimum mean square error function, a non-linear condition in constraint conditions is converted into a linear condition by converting a feasible region of the objective function, a new convex optimization model is enabled to meet a Karush-Kuhn-Tucker condition by using a dual Lagrange function, the optimal power distribution factor is deduced, and iterative updating of the optimal power distribution factor is carried out, so that the user signal in each beam can be distributed to an optimal power value.

Description

technical field [0001] The invention belongs to the technical field of signal communication, and in particular relates to a millimeter wave joint beam selection and power allocation optimization method. Background technique [0002] The problems of high hardware complexity and high power consumption in millimeter-wave massive MIMO systems have always attracted much attention. The main function of beam selection is to reduce the number of radio frequency links used, thereby reducing system hardware complexity and power consumption. Currently, Related research still has serious limitations and bottlenecks. [0003] After Professor T.L.Marzetta of Bell Labs proposed the concept of massive MIMO in 2010, antenna selection technology was considered to be an effective method to reduce system power consumption. However, with the deepening of the research, the researchers found that the antenna selection technology will lead to a significant decrease in the spectral efficiency of th...

Claims

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Application Information

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IPC IPC(8): H04B7/0426H04W72/04
CPCH04B7/043H04W72/0473H04W72/046Y02D30/70
Inventor 刘洋张颖慧刘磊贺鑫陈长涛董娜
Owner INNER MONGOLIA UNIVERSITY
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