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A Beam Selection Method and Device Applied to a Millimeter-Wave Large-Scale MIMO System

A large-scale, millimeter-wave technology, applied in transmission systems, radio transmission systems, diversity/multi-antenna systems, etc., can solve the problems of inapplicability to practical systems, long calculation time, complexity or high energy loss, and avoid energy loss. Too high, good rate performance, and the effect of reducing complexity

Active Publication Date: 2022-03-29
ANHUI UNIVERSITY
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the existing technical problems, the present invention provides a beam selection method and its device applied to millimeter-wave massive MIMO systems, which solves the problems of complexity, high energy loss and long calculation time of existing beam selection schemes. Problems that do not apply to real systems

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  • A Beam Selection Method and Device Applied to a Millimeter-Wave Large-Scale MIMO System
  • A Beam Selection Method and Device Applied to a Millimeter-Wave Large-Scale MIMO System
  • A Beam Selection Method and Device Applied to a Millimeter-Wave Large-Scale MIMO System

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Embodiment 1

[0076] see figure 1 , this embodiment provides a beam selection method applied to a millimeter-wave massive MIMO system, and the beam selection method can be used to select beams in a millimeter-wave massive MIMO system. In this embodiment, aiming at the beam selection model optimization problem, it is proposed to regard the beam selection problem as solving the {0-1} knapsack problem, regard the selected beam as loading items into the knapsack, and regard the maximum sum rate of the system as the knapsack The installed maximum capacity problem is solved by the discrete cuckoo algorithm. The CS algorithm is based on the following three assumptions:

[0077] (1) Each cuckoo randomly selects a nest and lays only one cuckoo egg;

[0078] (2) The best bird's nest will be preserved to the next generation;

[0079] (3) The number of nests is fixed, and the probability that the cuckoo eggs in the nests are found by the host bird is P a ∈[0,1].

[0080] Using Mantegna to simulate...

Embodiment 2

[0110] see figure 2 , this embodiment provides a beam selection method applied to a millimeter-wave massive MIMO system, which adds a step (step S0) on the basis of Embodiment 1. The step S0 is: building a millimeter wave massive MIMO system. In this embodiment, consider a millimeter-wave massive MIMO single-cell system, assuming that the base station is equipped with N antennas and N RF links RF , satisfy N>N RF . The base station serves K single-antenna users simultaneously. In order not to lose generality, this embodiment assumes that K=N RF . Therefore, the construction method of the millimeter wave massive MIMO system includes the following steps (steps S01-S04).

[0111] Step S01, preliminarily define the expression formula of the received signal of the kth user. In the millimeter wave massive MIMO system of this embodiment, the expression formula of the received signal of the kth user is initially defined as:

[0112] y=H H Ws+n

[0113] In the formula, H is ...

Embodiment 3

[0147] This embodiment provides a beam selection apparatus applied to a millimeter-wave massive MIMO system, which applies the beam selection method applied to a millimeter-wave massive MIMO system in Embodiment 1 or Embodiment 2. Wherein, the beam selection device includes a fitness calculation module, a bird's nest screening module, a bird's nest position replacement module and an iteration number judgment module.

[0148] The fitness calculation module is used to first define the number of bird nests, bird nest discovery probability, binary code control parameters, maximum number of iterations, number of antennas and number of users of a millimeter-wave massive MIMO system, and then initialize multiple bird nests, so that each bird nest selects a channel For the beam with the largest amplitude and no repetition, the fitness of multiple nests is finally calculated, and the maximum fitness of the current nest is the global optimal solution; the calculation formula for the fitn...

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Abstract

The invention discloses a beam selection method and its device applied to a millimeter-wave large-scale MIMO system. The beam selection method includes: step S1, first defining the number of bird's nests, the probability of finding a bird's nest, binary code control parameters, and the maximum number of iterations, and then initializing Multiple bird nests, and finally calculate the fitness of multiple bird nests; step S2, perform binary code mixed update, and repair abnormal codes, calculate the fitness of newly generated multiple bird nests, and filter the bird nests by retaining the bird nests with greater fitness ; Step S3, compare the bird’s nest discovery probability with the random number, copy the bird’s nest of the global optimal solution to replace one of the found bird’s nests, and randomly change the positions of the rest of the found bird’s nests; Step S4, judge whether the number of iterations reaches the maximum If the number of iterations is yes, the global optimal solution is output, otherwise step S2 is executed. Compared with the all-digital precoding algorithm, the invention does not cause obvious performance loss, reduces the complexity of the algorithm, and obtains near-optimal system performance.

Description

technical field [0001] The present invention relates to a beam selection method in the technical field of mobile communication, in particular to a beam selection method applied to a millimeter-wave massive MIMO system, and to a beam selection device for the beam selection method applied to a millimeter-wave massive MIMO system. Background technique [0002] With the rapid development of Internet services, people's demands for various application fields of wireless networks are increasing day by day, and the increasingly tight spectrum resources can no longer meet people's demands for communication. The large-scale input and output of millimeter waves can achieve higher data rates and higher spectral efficiency through wider signal bandwidths, and is considered to be a key technology for future 5G wireless communications. The traditional all-digital beamforming solution requires each antenna to correspond to an independent RF link. As the number of base station antennas and t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/06H04B7/08H04B7/0413H04B7/0456
CPCH04B7/0695H04B7/088H04B7/0413H04B7/0456
Inventor 李晓辉汪银张红伟
Owner ANHUI UNIVERSITY
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