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Low complexity three-dimensional (3D) beam forming algorithm based on angle-domain transformation

A beamforming, low-complexity technology, applied in the field of communication, can solve problems that have not yet been involved in the optimization design of precoding

Active Publication Date: 2015-04-08
FUDAN UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, they are currently only performing dimensionality reduction processing for some simple linear precoding schemes, and have not yet involved more complex precoding optimization design issues.

Method used

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  • Low complexity three-dimensional (3D) beam forming algorithm based on angle-domain transformation
  • Low complexity three-dimensional (3D) beam forming algorithm based on angle-domain transformation
  • Low complexity three-dimensional (3D) beam forming algorithm based on angle-domain transformation

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Embodiment

[0079] Set the parameters of the example

[0080] Hardware platform: Intel Xeon CPU E5-2643 3.50GHz; 32GB memory;

[0081] Operating system: 64-bit Windows Server 2008R2Enterprise;

[0082] Simulation software: MATLAB B2014a;

[0083] Channel model: see the channel model in the summary of the invention;

[0084] Base station antenna height: 25m;

[0085] User antenna height: 1.5m;

[0086] The minimum horizontal distance between the user and the base station: 10m;

[0087] Residential radius: 250m;

[0088] Number of base station antennas (N v ×N h ): 4×8, 4×16, 8×16, or 8×32;

[0089] Base station antenna element spacing: half wavelength;

[0090] Number of user antennas: 1;

[0091] Number of users: 8;

[0092] Number of Monte Carlo simulations: 100.

[0093] Simulation results:

[0094] The present invention compares the maximum ratio transmission (MRT), angle-domain dimension reduction optimization (Sparse-Optimal) and original space full-dimension optimizatio...

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Abstract

The invention belong to the technical field of communication and particularly relates to a low complexity three-dimensional (3D) beam forming algorithm based on angle-domain transformation. In allusion to single-cell multi-user-multiple input multiple output (MU-MIMO) downlink broadcast channel scenes, a 3D beam forming problem is modeled to form an optimization model of a minimum base station transmitting power, then the original problem is converted to an equivalence optimization problem on an angle domain through angle-domain transformation, the problem is subjected to dimensionality reduction relaxation by means of angle-domain sparse characteristics of 3D-MIMO channels, thereby, the calculating complexity of solution is reduced, and the algorithm complexity is never increased with increasing of the number of base station antennae. A simulation result shows that the angle-domain dimensionality reduction optimization algorithm can excellently approach original space all-dimension optimization algorithm.

Description

technical field [0001] The invention belongs to the field of communication technology, and specifically relates to a method for performing angle domain dimensionality reduction and relaxing processing on a 3D beamforming optimization problem based on the sparse characteristics of 3D-MIMO spatial channel information in the angle domain, thereby reducing the computational complexity of the solution. Background technique [0002] Multiple-Input Multiple-Output (MIMO) is an important technology in modern wireless communication networks, especially in multi-user MIMO systems, the base station can simultaneously serve multiple users, thereby increasing system throughput. The key problem in the multi-user MIMO system is inter-user interference, which is usually eliminated completely or reduced according to a certain criterion through beamforming precoding at the base station. The more classic precoding methods include algorithms such as zero forcing (ZF) [1], block diagonalization...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/04H04B7/06
CPCH04B7/0413H04B7/0469H04B7/0617
Inventor 张仕宇冯辉杨涛胡波
Owner FUDAN UNIV
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