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Cognitive two-way relay network adaptive optimization method and system

A two-way relay and optimization method technology, which is applied in network planning, electrical components, wireless communication, etc., to reduce the probability of interruption and ensure reliability

Inactive Publication Date: 2018-01-16
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are still few methods for optimizing the performance of cognitive two-way relay network, which is a problem that needs to be solved

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  • Cognitive two-way relay network adaptive optimization method and system
  • Cognitive two-way relay network adaptive optimization method and system
  • Cognitive two-way relay network adaptive optimization method and system

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Embodiment Construction

[0028] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0029] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element refe...

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Abstract

The present invention proposes an adaptive optimization method for a cognitive two-way relay network, including: setting the interference temperature of the primary user node and the interruption probability threshold value of the secondary user node; Channel state information; calculate the outage probability of the cognitive two-way relay network through the preset outage probability rapid assessment method; compare the outage probability and the outage probability threshold value; if the outage probability is less than the outage probability threshold value, pass the cognitive two-way relay The network transmits data, otherwise the transmission rate of the cognitive two-way relay network is adjusted to reduce the outage probability of the cognitive two-way relay network. The adaptive optimization method for the cognitive two-way relay network according to the embodiment of the present invention can effectively guarantee the data transmission reliability of the cognitive two-way relay network. The invention also proposes an adaptive optimization system for cognitive two-way relay network.

Description

technical field [0001] The invention relates to the technical field of design communication, in particular to an adaptive optimization method and system for a cognitive two-way relay network. Background technique [0002] Cognitive radio is one of the key technologies for future wireless networks. Through spectrum sharing, cognitive radio can greatly improve spectrum efficiency, which is an effective measure to alleviate the shortage of spectrum resources. A coexistence spectrum sharing system, under the premise of ensuring the quality of service (QoS) of the primary user, no matter whether the spectrum is Occupied by the primary user, the secondary users can access the authorized network. However, since the transmission power of the secondary user is strictly limited, it is difficult to guarantee the transmission quality of the secondary user. How to improve the performance of sub-users has become a research hotspot. [0003] Relay technology can effectively expand signa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/14H04W24/02
Inventor 王京洪浩张秀军肖立民粟欣田志刚
Owner TSINGHUA UNIV
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