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A resource allocation method for multi-relay cooperative communication system based on fractional planning

A technology of cooperative communication and system resources, which is applied in the field of resource allocation of multi-relay cooperative communication systems based on fractional planning, and can solve the problems of not fully considering the performance improvement of the retransmission signal of the base station in the second time slot

Inactive Publication Date: 2019-08-06
深圳市凯贝罗科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The existing multi-relay cooperative communication system resource allocation method does not fully consider the performance improvement brought by the retransmission signal of the base station in the second time slot, joint consideration of relay selection, carrier pairing and power allocation, real-time requirements, and low-complexity algorithm practice application and other issues, the present invention proposes a multi-relay cooperative communication system resource allocation method based on fractional planning, taking into account the carrier-power allocation and relay selection to maximize the spectrum efficiency of the user system, allowing the base station to be in the second The time slot forwards the retransmission information through these idle subcarriers, assists the low-complexity iterative algorithm, and maximizes the network performance of the user's real-time communication

Method used

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  • A resource allocation method for multi-relay cooperative communication system based on fractional planning
  • A resource allocation method for multi-relay cooperative communication system based on fractional planning
  • A resource allocation method for multi-relay cooperative communication system based on fractional planning

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Embodiment 1

[0064] A resource allocation method for a multi-relay cooperative communication system based on fractional planning, including

[0065] Step 1: Build a system model;

[0066] The present invention is aimed at a special application scene, comes from practical application, and the scene setting is meticulous and reasonable, and has practical guiding significance. Such as figure 1 As shown, this aspect considers a two-hop multi-relay multi-user OFDM system. There is a source node S in the system 1 , N relay nodes, K user nodes, the transmission bandwidth is divided into M subcarriers, and each subcarrier shares the system bandwidth equally and experiences independent Rayleigh fading. All relay nodes apply the half-duplex DF relay mode, and can obtain instantaneous channel information under different subcarriers. The communication process of the system is divided into two time slots. In the first time slot, all relay nodes and user nodes receive 1 Broadcast the transmitted si...

Embodiment 2

[0100] In order to further improve and improve the computational efficiency of the algorithm, on the basis of the Lagrangian multiplier algorithm, we can use the subgradient method in the process of each loop iteration, and select the progressive step length to make the optimization more accurate . Specifically, the Lagrangian factor β in the Lagrangian form of the optimization problem P1 S , β R,m , β φ,n The iterative update method of the subgradient algorithm adopts the subgradient algorithm, which has lower complexity and is more efficient. The iterative update equation of the subgradient algorithm is

[0101]

[0102]

[0103] where β 0 (τ), β m,m (τ) represent the Lagrangian factors of the τth iteration respectively, δ 0 (τ), δ m,m (τ) respectively represent the corresponding iteration step size.

[0104] In order to make the iteration speed faster and the accuracy higher, we choose a progressively smaller iteration step size. The iteration step size can be...

Embodiment 3

[0107] In order to reduce the complexity of the algorithm for practical application, the present invention proposes a simplified embodiment, specifically:

[0108] The solution of the step 3 optimization problem includes simplifying the objective function;

[0109] The optimization objective function in P1 becomes a linear continuous function, it is advisable to relax the constraints first, that is, define the decision matrix to replace t={t i,j,n,k},in Redefine:

[0110]

[0111]

[0112]

[0113] Thus, the revised optimization problem P2 is obtained:

[0114] P2: max

[0115] s.t. C1:

[0116] C2:

[0117] C3:

[0118] C4:

[0119] C5:

[0120] in:

[0121] For the first item of the above formula, it is to obtain the minimum value between two polynomials, and the overall maximum value of the expression needs to be obtained. This is a max-min problem, only when the two numbers to be compared are equal, In order to obtain the maximum value, ...

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Abstract

The invention discloses a resource allocation method of a multi-relay cooperative communication system based on fractional planning, which belongs to the technical field of cooperative communication. Including steps: building a system model, analyzing system scenarios, deriving problems, and using convex optimization methods to solve optimization problems. The invention is different from the traditional relay protocol, allowing the base station to retransmit the information of the first time slot through these idle sub-carriers in the second time slot, which can reduce the transmission power of the base station and the relay, and improve the system capacity. The present invention aims at maximizing the spectrum efficiency of the system, aiming at special application scenarios, originating from actual applications, setting up the scenarios meticulously, reasonably jointly considering multiple relays and multiple users in the OFDM relay network scenario of joint relay selection, carrier pairing and The problem of power allocation has practical guiding significance.

Description

technical field [0001] The invention belongs to the technical field of cooperative communication, and more specifically relates to a resource allocation method of a multi-relay cooperative communication system based on fractional planning. Background technique [0002] With the development of social economy, informatization has spread all over various industries and fields, and wireless communication technology has played an increasingly important role, which is closely related to people's daily life. Compared with wired networks, wireless communication technology brings people not only the convenience of communication anytime and anywhere, but also improves people's life efficiency and quality of life, and with the enrichment of network content, it meets the needs of people's lives. , all aspects of work and entertainment needs. [0003] There are many new problems in the wireless network that are not found in the wired network, such as the problem of fast and slow fading ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W40/22H04W52/24H04W52/26H04W52/46H04W72/04H04W72/08
CPCH04W40/22H04W52/241H04W52/267H04W52/46H04W72/0453H04W72/542Y02D30/70
Inventor 梁广俊李林国李淑敬
Owner 深圳市凯贝罗科技有限公司
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