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LAS detection algorithm improved based on simulated annealing idea in large-scale MIMO system

A technology of simulated annealing algorithm and detection algorithm, applied in transmission systems, radio transmission systems, transmission monitoring and other directions, can solve problems such as easy to fall into local optimal solutions, and achieve the effect of excellent performance, increasing search area, and enhancing search ability.

Inactive Publication Date: 2019-07-09
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] The purpose of the present invention is to improve the neighborhood search algorithm in the massive MIMO system, solve the problem that this algorithm is easy to fall into a local optimal solution, and improve the performance of the signal detection algorithm

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  • LAS detection algorithm improved based on simulated annealing idea in large-scale MIMO system
  • LAS detection algorithm improved based on simulated annealing idea in large-scale MIMO system
  • LAS detection algorithm improved based on simulated annealing idea in large-scale MIMO system

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Embodiment Construction

[0047] In order to enable those skilled in the art to better understand the purpose, technical solutions and advantages of the present invention, a complete description will be given below in conjunction with specific examples and accompanying drawings.

[0048] attached figure 1 A massive MIMO system model

[0049] This figure shows a general massive MIMO system model. As shown in the figure, in a massive MIMO uplink system, there are K single-antenna users at the transmitting end. Transmission through the sending antenna, which introduces a mean value of 0 and a variance of σ 2 =K*E s Noise vector of / γ, E s is the average energy of the symbols sent by the transmitting end, and γ is the average signal-to-noise ratio of received symbols for each antenna of the receiving end. Finally, different signal detection algorithms are used at the receiving end to estimate the transmitted signal.

[0050] attached figure 2 It is a flowchart of the core part of the improved neighb...

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Abstract

The invention provides an improved neighborhood search detection algorithm based on a simulated annealing algorithm. A weighted symmetric successivce over relaxation iteration (WSSOR) algorithm is used for solving an initial solution and setting a multi-neighborhood search candidate set to realize parallel searching of three innovative points. In a multiple input multiple output (MIMO) system,anexisting neighborhood search algorithm only accepts a solution which is better than a current solution and is easy to fall into a local optimal solution, so that a probability factor in a simulated annealing algorithm is introduced, a solution which is poorer than the current solution is accepted at a certain probability, the local optimal solution is skipped out, and a global optimal solution issearched, so that the detection performance of the algorithm is remarkably improved; meanwhile, when the initial solution is solved, WSOR iteration is used for processing complex matrix inversion operation, and the solving complexity of the initial solution is reduced; furthermore, a multi-neighborhood search candidate set is set for parallel search through different symbol bit numbers among the solution vectors, so that the effective search area is increased, and the search speed is increased.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and is mainly aimed at the application scenario of a large-scale MIMO system. The main application is to perform signal detection on a receiving end in the large-scale MIMO system, and specifically relates to an improved neighborhood search detection algorithm in the large-scale MIMO system. Background technique [0002] Multiple Input Multiple Output (MIMO) technology has been successfully applied in many communication systems, such as wireless local area network IEEE 802.11n, fourth generation (4G) cellular system Long Term Evolution Advanced (LTE-A), etc. MIMO technology mainly refers to the configuration of multiple antennas at both ends of the transceiver for signal transmission, without increasing the transmission power and system bandwidth, it can increase the channel capacity and spectrum utilization of the system multiple times, and at the same time improve the reliability ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0413H04B17/20H04B17/336
CPCH04B7/0413H04B17/20H04B17/336
Inventor 周围张维唐俊王强潘英杰
Owner CHONGQING UNIV OF POSTS & TELECOMM
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