Resource allocation method for channel condition optimization in NOMA of low-density code

A technology of resource allocation and channel status, applied in the direction of transmission path separation device, wireless communication, digital transmission system, etc., can solve the problems of mapping scheme design, maximum system and capacity target are not optimal, etc., to improve performance and improve and rate, and the effect of reducing the block error rate

Active Publication Date: 2018-07-06
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0004] In the existing design of the resource mapping mode in the NOMA system, some schemes do not design the mapping scheme according to the user's channel conditions, and some schemes decouple the RE mapping and power allocation processes and design them separately. Neither system nor capacity targets are optimal

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  • Resource allocation method for channel condition optimization in NOMA of low-density code
  • Resource allocation method for channel condition optimization in NOMA of low-density code
  • Resource allocation method for channel condition optimization in NOMA of low-density code

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Embodiment 1

[0041] figure 1In an uplink low-density code NOMA communication system, the number of users is N=6, and the number of subcarriers is M=4. The base station schedules 6 users to share data on 4 subcarriers. The 6 The users consist of 2 cell edge users, 2 cell middle users, and 2 cell center users. The base station allocates subcarriers to each user for data transmission according to the channel conditions of the six users. During the allocation process, it is necessary to consider that the number of users carried by the same subcarrier cannot exceed three to prevent excessive decoding complexity.

[0042] figure 2 The resource allocation method proposed by the present invention is simulated and compared with the random selection regular resource allocation method not optimized by this method. In the simulation, the number of user selections is N=6, and the number of subcarriers is M=4.

[0043] The following describes how to apply the present invention and how to improve the ...

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Abstract

The invention provides a resource allocation method for channel condition optimization in NOMA of a low-density code and belongs to the field of wireless communication. According to the method, a resource allocation method capable of maximizing the system sum rate is provided to match the phenomenon that different channel conditions exist between users; that is, through the channel condition information of the user obtained by a base station, the optimization problem of maximizing the sum rate is established under the condition that the sparsity constraint and the power constraint are guaranteed; the non-convex optimization problem is converted into a series of convex problems, which are solved through an iterative algorithm; and an approximate optimal RE mapping and power distribution scheme is obtained. Compared with an existing resource allocation method, the sum rate of the low-density code NOMA system is improved; and the block error rate (BLER) performance is improved.

Description

technical field [0001] The invention relates to a resource allocation method for channel condition optimization in NOMA of low-density codes, belonging to the field of wireless communication. Background technique [0002] Non-orthogonal multiple access (NOMA) aims to support spectrally efficient data transmission among a large number of devices, and is widely regarded as a key technology for wireless access design in fifth-generation (5G) wireless communication networks . The core idea behind NOMA is to superimpose the signals of multiple users on the same wireless resource, and adopt advanced multi-user receivers to distinguish the superimposed signals. Among various NOMA technologies, one kind of more important NOMA technology uses low density signature (LDS) for signal recognition. By utilizing the sparsity of the code, a message passing algorithm (MPA) based The receiver can obtain good spectrum efficiency under the premise of ensuring the complexity of the system tole...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04H04W72/08H04W72/12H04L5/00
CPCH04L5/0008H04L5/0094H04W72/0453H04W72/0473H04W72/542H04W72/54
Inventor 费泽松于含笑叶能李斌
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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