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Energy optimization-based cognitive radio multicast routing method

A cognitive radio and energy optimization technology, applied in wireless communication, electrical components, reducing energy consumption, etc.

Inactive Publication Date: 2010-09-08
UNIV OF SCI & TECH BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Considering energy optimization at the same time, according to the idea of ​​minimum incremental MIC and on-demand drive, the problem of dynamic spectrum selection is solved by cross-layer design of routing selection and spectrum allocation, and a design suitable for cognitive radio network spectrum diversity, dynamics, Multicast Routing Algorithm with Differential Characteristics

Method used

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  • Energy optimization-based cognitive radio multicast routing method
  • Energy optimization-based cognitive radio multicast routing method
  • Energy optimization-based cognitive radio multicast routing method

Examples

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Embodiment Construction

[0062] The following uses an example to introduce the specific implementation process of the method.

[0063] An example is used to illustrate the implementation of the multicast tree construction algorithm. Multicast tree consists of source node S and destination node {d 1 , d 2 , d 3 , d 4 , d 5 , d 6 , d 7}, the mobile node i is the node to be added, and the available frequency spectrum is divided into 5 channels, denoted as A, B, C, D, E, and the information in the brackets of each node represents the set of available channels, such as figure 2 (a) shown.

[0064] Node i broadcasts the RREQ message containing the set of available channels, and receives a message from d 2 , d 3 , d 4 , d 6 The RREP message sent. Comparing multicast tree node d in RREP information by calculation 2 , d 3 , d 4 , d 6 of value, get select node d 2 As the access node of i, node i extracts node d from RREP information 2 SOP set information, where, SOP d2 = {A, B} SOP i = ...

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Abstract

The invention belongs to the field of cognitive radio CR and in particular relates to multicast routing protocols in a CR network. The method provides an energy optimization-based CR multicast routing method. The method comprises the following steps of: establishing a network model; establishing a Cournot game model; calculating a profit function; solving Nash equilibrium; and establishing a multicast tree. The invention provides an energy optimization-based multicast routing algorithm in the CR network and efficient spectrum allocation rate is achieved by establishing a spectrum allocation model in the CR network according to a classical Cournot static model. And simultaneously, the problem of dynamic spectrum selection is solved by utilizing a mode of routing selection and spectrum allocation cross-layer design according to energy optimization and the thought of minimum increment capacity MIC and on-demand drive, and the multicast routing algorithm which is suitable for the characteristics such as diversity, dynamic and differentiation of the frequency spectrum of the CR network is designed.

Description

Technical field: [0001] The invention belongs to the field of cognitive radio CR, and in particular relates to a multicast routing protocol in a CR network. Background technique: [0002] With the rapid development of wireless communication, in view of the low utilization rate of the existing spectrum, the spectrum sharing technology that can realize the reuse of non-renewable spectrum resources has attracted widespread attention. Cognitive radio (CR), as an intelligent spectrum sharing technology, can perceive the external environment, use artificial intelligence technology to learn from the environment, change the working parameters of the system adaptively in real time, dynamically detect and effectively use idle time. spectrum. The proposal of cognitive radio technology provides a new way of thinking to achieve efficient spectrum utilization while ensuring reliable communication performance. Game theory, also known as game theory, is a mathematical theoretical model fo...

Claims

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Application Information

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IPC IPC(8): H04W40/10
CPCY02B60/50Y02D30/70
Inventor 周贤伟杜利平张羲王超
Owner UNIV OF SCI & TECH BEIJING
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