Method for allocating resources optimally in distributed mode by self-organizing cognitive wireless network

A technology for cognitive wireless network and resource allocation, applied in the field of self-organizing network resource allocation, can solve problems such as the difficulty of resource allocation algorithm design, achieve the effect of effective allocation, avoid mutual interference, and improve comprehensive utilization rate

Inactive Publication Date: 2009-09-16
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

This makes the frequency bands available to cognitive radio users change dynamically in time and space, which brings certain difficulties to the design of resource allocation algorithms.

Method used

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  • Method for allocating resources optimally in distributed mode by self-organizing cognitive wireless network
  • Method for allocating resources optimally in distributed mode by self-organizing cognitive wireless network
  • Method for allocating resources optimally in distributed mode by self-organizing cognitive wireless network

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Embodiment Construction

[0020] 1 Network model and assumptions

[0021] Consider a cognitive wireless Ad Hoc network composed of several cognitive users. According to the characteristics of the Ad Hoc network, there is no central control node in the network, so each cognitive user is a node with equal status in the network. At the same time, it can be seen from the characteristics of cognitive radio that the available frequency band of each cognitive user is related to its location and time, that is, the available frequency band of each node is different. Assume that the number of frequency bands available to node i is M i , and the set consisting of these frequency bands is denoted as C i , and assume that all frequencies have the same bandwidth w.

[0022] According to the power propagation gain model g ij = d ij -α , where α is the path loss exponent, d ij is the distance between nodes i and j, then when node i utilizes frequency band m∈M i by power When sending a signal to node j, the r...

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Abstract

The invention provides a method for allocating resources optimally in a distributed mode by a self-organizing cognitive wireless network, and relates to a problem of self-organizing (Ad Hoc) network resource allocation based on cognitive radio. The method designs a link cost function, LCF for short, performs a cross layer design on the allocation of network resources according to the function, and achieves the optimal allocation of the resources through a distributed algorithm. The routing is carried out according to the link cost function LCF provided by the invention, so that the transmission rate of various links in the Ad Hoc network obtained through the distributed algorithm is made to be more close to an optimal value obtained through a centralized algorithm. Therefore, the resources of the whole network are allocated optimally.

Description

technical field [0001] The invention relates to the problem of resource allocation of an ad hoc (Ad Hoc) network based on cognitive radio, and belongs to the technical field of resource allocation in wireless communication. Background technique [0002] Cognitive Radio (CR) is an important technology proposed to solve the problem of efficient use of spectrum resources. Cognitive radio devices can perceive the surrounding wireless environment, and adjust their own transmission parameters (such as carrier frequency, modulation mode, etc.) according to the perceived spectrum conditions, so as to make full use of wireless spectrum resources. In a cognitive radio system, cognitive radio users share the spectrum with licensed primary users by utilizing the spectrum not used by primary users. This makes the frequency bands available to cognitive radio users change dynamically in time and space, which brings certain difficulties to the design of resource allocation algorithms. At ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04H04W84/18
Inventor 潘志文吴春德尤肖虎
Owner SOUTHEAST UNIV
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