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Relay Selection Method for Quantum Teaching and Learning Search Mechanism

A quantum and mechanism technology, applied in the field of relay selection of quantum teaching and learning search mechanism, to achieve the effects of excellent throughput, high convergence accuracy and fast convergence speed

Active Publication Date: 2019-08-06
HARBIN ENG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a balanced consideration of the maximum average network benefit and fairness for the deficiency of the existing relay selection method. By constructing a linearly weighted objective function by weighting the maximum average network benefit and fairness, the A Relay Selection Method for Efficient Quantum Teaching and Learning Search Mechanism

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  • Relay Selection Method for Quantum Teaching and Learning Search Mechanism
  • Relay Selection Method for Quantum Teaching and Learning Search Mechanism
  • Relay Selection Method for Quantum Teaching and Learning Search Mechanism

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the accompanying drawings.

[0063] (1) There are N users in the multi-user relay system, that is, N sending and receiving pairs are responsible for sending and receiving signals, and there are M candidate relays for cooperative transmission, and generally M is greater than N. According to the central controller responsible for relay selection to obtain all channel state information, establish a multi-user relay selection model, and determine the combined objective function of maximum network benefit and fairness as max{λU MPF (r)+(1-λ)U MAR (r)}, where λ is the weight, 0≤λ≤1, and the maximum average network benefit is: where r = [r 1 ,r 2 ,...,r N ] select scheme for relay, r i (i=1,2,...,N) represents the relay selection of the i-th user, and stipulates that each relay node (RN) can help at most one SN-DN transmission pair, where W is the available bandwidth of the system, γ i is the SINR...

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Abstract

The invention relates to a relay selection method for a quantum teaching and learning search mechanism, the method is realized through using the mechanism for a combination target selected by relay, and maximum average network benefit and compromised fairness are evenly considered. The method comprises the steps: (1) establishing a multi-user relay system model, (2) initializing class, (3) performing teaching stage, (4) performing learning stage, (5) mapping a new quantum student as an integer solution through an above mapping rule, (6) selecting a quantum student with the best grade from the updated quantum student as a new quantum teacher, and (7) obtaining a relay selection scheme. According to the invention, a relay selection problem in integer programming can be solved, a novel relay selection method based on a quantum teaching and learning algorithm is designed as an evolution strategy, and the designed method has advantages of fast convergence rate and high convergence precision.

Description

technical field [0001] The invention relates to a relay selection method of the quantum teaching and learning search mechanism which balances the maximum average network benefit and the fairness compromise, which is realized by using the quantum teaching and learning search mechanism for the combination target selected by the relay. Background technique [0002] A trunk is a transmission path between two switching centers. Collaboration and relay is one of the key technologies of future wireless networks, and has received extensive attention from academia and industry. Due to the existence of relay nodes, the relay selection technology of relay cooperative network becomes more complicated. In the relay cooperative network, there are often multiple candidate relay nodes. How to reasonably and effectively select the appropriate relay node from the candidate relay nodes to participate in cooperative communication is crucial to improving the system capacity, network energy effi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W40/16H04W40/22H04B7/155
CPCH04B7/15542H04W40/16H04W40/22Y02D30/70
Inventor 高洪元张世铂李佳梁炎松刘丹丹陈梦晗
Owner HARBIN ENG UNIV
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