A parallel computing method for multicast beamforming based on user subset selection

A beamforming and subset selection technology, applied in diversity/multi-antenna systems, channel estimation, space transmit diversity and other directions, can solve the problems of unclear physical meaning of the algorithm, the number of users should not be too large, and the problem lack of analysis, etc. Clear meaning, low problem dimension, and the effect of increasing computational complexity

Active Publication Date: 2022-05-10
SHANGHAI JIAOTONG UNIV
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Problems solved by technology

[0003] The above-mentioned algorithm for solving the beamforming factor based on the optimization method is dedicated to characterizing the physical layer multicast beamforming problem as an optimization problem, and seeks to improve the optimization algorithm, and regards the actual physical scene of the multicast problem as a "black box". It lacks the necessary analysis, so the physical meaning of the algorithm is not clear, so it is difficult to make further performance breakthroughs
In addition, most of the existing algorithms are aimed at large-scale user scenarios, but in fact, since the performance of the multicast group is limited by the worst user, the number of users in the same multicast group should not be too large, otherwise the communication efficiency will be greatly reduced

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  • A parallel computing method for multicast beamforming based on user subset selection
  • A parallel computing method for multicast beamforming based on user subset selection
  • A parallel computing method for multicast beamforming based on user subset selection

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[0088] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.

[0089] In the drawings, components with the same structure are denoted by the same numerals, and components with similar structures or functions are denoted by similar numerals. The size and thickness of each component shown in the drawings are shown arbitrarily, and the present invention does not limit the size and thickness of each component. In order to make the illustration clearer, the thickness of parts is appropriately exaggerated in some places in the drawings.

[0090] The multicast beamforming algorithm based on user subset selection proposed by the present invention comprises the following...

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Abstract

The invention discloses a multicast beamforming parallel calculation method based on user subset selection, and relates to the technical field of wireless communication signal processing. The present invention uses the channel semi-orthogonalization method to sort the users in the multicast group, enumerates the candidate bottleneck subsets in sequence, calculates the beamforming factors corresponding to the subsets in parallel, and finally compares all the candidate subsets to obtain the optimal signal-to-noise ratio and the corresponding beamforming factors. The present invention reduces the dimension of the beamforming optimization problem, optimizes the beamforming factor, and biases it to the bottleneck user in the multicast group, thereby improving the multicast performance.

Description

technical field [0001] The invention relates to the technical field of wireless communication signal processing, in particular to a multicast beamforming parallel computing method based on user subset selection. Background technique [0002] Physical layer multicast beamforming supports the sending end to send the same information to a specific group of users, so it has high communication efficiency and has been widely researched and applied. The key lies in rationally designing the multicast beamforming factor, adjusting the feeding amplitude and phase of the antenna elements to adapt to the channel state of the user, and forming a predetermined upward beam. The solution of multicast group beamforming factors is proved to be NP-hard problem due to its non-convexity. For the beamforming factor optimization problem in a single-group multicast scenario, the current common solution is to obtain a modified beamforming factor based on semi-definite relaxation (Semi-definite Rela...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/06H04L25/02
CPCH04B7/0617H04B7/0632H04L25/0202
Inventor 刘玲亚简继航王易因关新平
Owner SHANGHAI JIAOTONG UNIV
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