Millimeter wave joint beam selection and power distribution optimization method

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...

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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 Linglong of Tsinghua University proposed an interference-aware beam selection algorithm, which is based on the maximum amplitude algorithm and the maximum capacity algorithm, and eliminates the interference between users in groups. However, the complexity of the algorithm is still high

Aiming at the problem of high computational complexity when the number of interfering users is large, the literature in 2018 proposed a beam selection algorithm based on ant colony optimization, but because it is greatly affected by noise, it needs perfect CSI as the basis

In 2020, the literature proposed a novel hybrid beam selection scheme under the beam space MIMO system to realize the selection of multi-beams or radio frequency links, and find a suitable channel cluster direction for each active user, but it is still active. There is a problem of high consumption

[0005] In addition, in the face of massive terminal access in the future, the drawbacks of the traditional Orthogonal Multiple Access (OMA) technology used in the beam space are becoming more and more obvious, mainly manifested in the serious inter-user interference of massive terminal equipment, which will lead to system Substantial reduction in spectral efficiency

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