Method for optimizing pilot frequency sequence based on observation matrix in uplink SCMA system

A technology of pilot sequence and observation matrix, which is applied in the field of optimizing pilot sequence based on observation matrix, can solve problems such as complex reconstruction, low detection accuracy, and large pilot overhead, and achieve simple reconstruction, improved detection accuracy, and pilot The effect of low cost

Active Publication Date: 2019-07-26
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problems of large pilot overhead, low detection accuracy and complex reconstruction in the existing method of sparse channel detection, and propose a method for optimizing the pilot sequence based on the observation matrix in the uplink SCMA system

Method used

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  • Method for optimizing pilot frequency sequence based on observation matrix in uplink SCMA system
  • Method for optimizing pilot frequency sequence based on observation matrix in uplink SCMA system
  • Method for optimizing pilot frequency sequence based on observation matrix in uplink SCMA system

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specific Embodiment approach 1

[0029] Specific implementation mode 1: The specific process of the method for optimizing the pilot sequence based on the observation matrix in the uplink SCMA system of this implementation mode is as follows:

[0030] Step 1. Establish an observation matrix model (formula 7) composed of pilot sequences;

[0031] Step 2, set the pilot set size of the registered user to be N, and the signal-to-noise ratio threshold to be γ;

[0032] If the receiving end SNR≤γ, perform step three; if the receiving end SNR>γ, perform step four;

[0033] Step 3: If the receiving end SNR≤γ, calculate the block sparse observation matrix Ψ composed of the pilot sequence set of BM′×BN size in the observation matrix model;

[0034] Among them, M' is the size of a fading block, N is the pilot set size of the registered user, and B is the number of fading blocks;

[0035] Step 4: If the receiving end SNR>γ, calculate the block sparse observation matrix Ψ composed of the pilot sequence set of size BM′×BN...

specific Embodiment approach 2

[0036] Specific embodiment two: the difference between this embodiment and specific embodiment one is that the observation matrix model (formula 7) composed of pilot sequences is established in the step one; the specific process is:

[0037] In an uplink SCMA system that lacks a request and scheduling process, the receiving end needs to obtain user activity information through blind detection. Most of the current research is based on the pilot sequence sent by the transmitting end to realize this process. The literature proposes the concept of contention transmission unit (Contention Transmission Unit, CTU), that is, the resource unit that users compete for access. It is also defined that a CTU includes its unique pilot sequence and some time-frequency resources. The pilot sequence corresponds to its unique pre-assigned codebook, and the sending end performs resource mapping on user data according to the codebook.

[0038] The receiver extracts the pilot signal from the receiv...

specific Embodiment approach 3

[0069] Specific embodiment 3: The difference between this embodiment and specific embodiment 1 or 2 is that in the step 3, if the receiving end SNR≤γ, the block composed of the pilot sequence set of BM′×BN size in the observation matrix model is calculated Sparse observation matrix Ψ; the specific process is:

[0070] Step 31: Set the FB estimated value of the fading block and the ZC sequence length N ZC ;

[0071] Step 32: According to the ZC sequence length N ZC Obtain the ZC root sequence, obtain the pilot sequence according to the ZC root sequence, and form the pilot sequence set according to the pilot sequence;

[0072] Step 33: Estimate the maximum pilot sequence set size according to the pilot sequence set:

[0073] Step 3 and 4: Screen the pilot sequence set, and calculate the block sparse observation matrix Ψ of BM′×BN in the observation matrix model from the filtered pilot sequence set ψ′.

[0074] Other steps and parameters are the same as those in Embodiment 1 ...

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Abstract

The invention discloses a method for optimizing a pilot frequency sequence based on an observation matrix in an uplink SCMA system, and relates to a method for optimizing the pilot frequency sequencebased on the observation matrix. The method aims to solve the problems of high pilot cost, low detection precision and complex reconstruction of the existing method in sparse channel detection. The method comprises the following steps: 1, establishing an observation matrix model consisting of pilot sequences; 2, setting the pilot frequency set size of the registered user as N, and setting the signal-to-noise ratio threshold value as [gamma]; if the SNR of the receiving end is less than or equal to [gamma], executing step 3; if the receiving end SNR is greater than [gamma], executing the step 4; 3, calculating a block sparse observation matrix formed by a pilot frequency sequence set in the observation matrix model; and 4, calculating a block sparse observation matrix formed by the pilot frequency sequence set in the observation matrix model. The method is applied to the field of pilot frequency design of SCMA.

Description

technical field [0001] The invention relates to a method for optimizing a pilot sequence based on an observation matrix. Background technique [0002] In the field of mobile communications, compared with 4G, the performance improvement of 5G technology is mainly reflected in business requirements such as accommodating massive connections, low-latency and highly reliable data transmission, and high-definition video transmission. In Massive Machine Type Communication (mMTC), one of the three major scenarios of 5G, Non-Orthogonal Multiple Access (NOMA) has received extensive attention due to its unique overload connection characteristics. . [0003] Because the signaling overhead of traditional resource scheduling is too large, the multiple signaling interaction delays for short packet services are too long. For the NOMA system, the resource allocation mode based on authorization-free can reduce these delays, but at the same time, the signaling interaction The reduction of wi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L5/00H04L1/00H04J13/00
CPCH04L5/0048H04L1/0036H04J13/0062H04J13/0007
Inventor 吴宣利郭珊孙俊伟吴玮
Owner HARBIN INST OF TECH
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