Device and system based on MU-MIMO (downlink multiuser multiple-input multiple-output), and sorting optimization method
A sorting optimization and initialization technology, applied in the field of devices based on downlink MU-MIMO, can solve problems such as large computational complexity and poor performance, and achieve the effect of optimizing system performance and reducing algorithm complexity
Inactive Publication Date: 2013-04-03
RESEARCH INSTITUTE OF TSINGHUA UNIVERSITY IN SHENZHEN
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[0004] A technical problem to be solved by the embodiments of the present invention is to provide a device based on downlink MU-MIMO to solve the problems of poor performance and high computational complexity in existing sorting
[0005] Another technical problem to be solved by the embodiments of the present invention is to provide a system based on downlink MU-MIMO to solve the problems of poor performance and high computational complexity in existing sorting
[0006] Another technical problem to be solved by the embodiments of the present invention is to provide a sorting optimization method based on downlink MU-MIMO to solve the problems of poor performance and high computational complexity in existing sorting
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[0026] It should be noted that the embodiments in the application and the features in the embodiments can be combined with each other if there is no conflict. The present invention will be further described in detail below with reference to the drawings and specific embodiments.
[0027] In a cellular system, a good scheduling algorithm should not only consider the improvement of the average cell capacity value, but also take into account fairness. It is not advisable to sacrifice the capacity value of cell edge users in exchange for an increase in the overall system capacity value. Therefore, in the user set formed by scheduling, users from multiple different geographic locations are likely to be gathered. The difference in large-scale fading coefficients for different users is bound to affect the performance of the entire downlink MU-MIMO-based system to a large extent. At this time, the positive effects of reasonable user ranking will become more obvious.
[0028] Please refer...
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The embodiment of the invention discloses a device and system based on MU-MIMO (multiuser multiple-input multiple-output), and a sorting optimization method. The method comprises the steps of initializing; calculating single user capacity; calculating multi-user capacity; seeking a user index j with highest interference receiving capacity in the device based on the downlink MU-MIMO by combining a first predetermined criterion or a second predetermined criterion, distributing a pre-coding matrix Fk=F<BD,phij> to a user phij indicated by the index for the first and searching a target user receiving a merged matrix Ck=C<BD,phij>; circulating treatment; and residual single user treatment. The device, the system and the method disclosed by the embodiment of the invention can achieve the technical effects of obviously reducing algorithm complexity while optimizing the performance of the system through the technological means of combining the first predetermined criterion or the second predetermined criterion, searching and distributing the pre-coding matrix to the target user with the highest interference receiving capacity in the downlink MU-MIMO and receiving the merged matrix.
Description
Technical field [0001] The present invention relates to a downlink multi-user multiple input multiple output (Multiple User Multiple Input Multiple Output, referred to as MU-MIMO) precoding technology, in particular to a downlink MU-MIMO-based device, system and sequencing optimization method. Background technique [0002] The system based on downlink MU-MIMO multiplexes multiple users on the same time-frequency resources and has multiple user interference (MUI). Therefore, it is important to use excellent precoding algorithms to eliminate MUI on the network side. . [0003] In the prior art, Block Diagonalization (BD) precoding completely eliminates the overlapping subspaces of different users. On this basis, a continuous optimized Tomlinson-Harahima precoding ( Successive Optimization Tomlinson-Harashima Precoding (SO-THP for short) can make better use of channel gain to optimize the overall performance of the system. The traditional SO-THP algorithm first generates the precodi...
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IPC IPC(8): H04B7/06H04B7/08H04B7/04H04L1/00
Inventor 周智勋周维鸥米涛徐迪宇胥小武梁尧
Owner RESEARCH INSTITUTE OF TSINGHUA UNIVERSITY IN SHENZHEN