Joint perception method for perceiving belief propagation in heterogeneous cellular network

A technology of belief propagation and cellular network, applied in the field of joint perception of cognitive belief propagation, can solve the problems of reducing system robustness, flexibility and scalability

Inactive Publication Date: 2015-08-05
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since most of the current cooperative spectrum sensing networks require equipment such as information fusion centers for centralized coordination and control, this greatly reduces the robustness, flexibility, and scalability of the system.

Method used

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  • Joint perception method for perceiving belief propagation in heterogeneous cellular network
  • Joint perception method for perceiving belief propagation in heterogeneous cellular network
  • Joint perception method for perceiving belief propagation in heterogeneous cellular network

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Embodiment 1

[0032] General steps of the present invention of embodiment 1

[0033] A joint perception method for cognitive belief propagation in a heterogeneous cellular network of the present invention has the modeling of the Markov random field of each time slot network topology, the conversion of the probability graph model into a factor graph, and the use of a unified complex weighted belief propagation algorithm Realize the three steps of reasoning and estimating the probability that a specific wireless channel is occupied by an authorized user.

Embodiment 2

[0034] Example 2 Modeling of Markov Random Fields of Each Time Slot Network Topology

[0035] Assuming that there are K nodes in a distributed cognitive network, the time is divided into 0-S time slots, and the variable Represents the state of each cognitive node in time slot t: 0 indicates that the corresponding channel is idle; 1 indicates that the channel is occupied by authorized users, and the vector is a variable representing the state of K nodes at time t. make Represents the test statistic of the corresponding channel obtained by node k after performing a local spectrum sensing at time t. At time t, the test statistic of all K nodes is Wherein, the network node may adopt any single-node spectrum sensing method. For the sake of simplicity, it is assumed that the cognitive nodes all adopt the energy detection algorithm, then the test statistic It is about the signal sampling vector The function:

[0036] T k ...

Embodiment 3

[0053] Example 3 Converting the probability graph model into a factor graph

[0054] A probabilistic graphical model is actually a graph composed of nodes and edges, where each node represents a (or a group of) random variables, and the edges connecting the nodes represent the probability relationship between random variables. Such a graph expresses a mathematical relationship—how ​​the joint distribution over all random variables breaks down into a product of factors that depend on only some of the random variables.

[0055] In order to effectively solve inference problems, probabilistic graphical models are often transformed into a general graphical model called factor graph. A factor graph is a unified representation of Bayesian networks and Markov networks, which explicitly describes the decomposition of the joint probability distribution on the graph by introducing factor nodes. Let {x 1 ,x 2 ,...,x n} is a variable set, where the element x i Belongs to some symbol s...

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Abstract

The invention provides a joint perception method for perceiving belief propagation in a heterogeneous cellular network. The joint perception method belongs to the technical field of cognitive radio. The joint perception method comprises three steps of modeling a Markov random field of each time slot network topology, converting a probability graph model to a factor graph, and realizing estimation for occupation of a specific radio channel by an authorized user by means of a unified complex-weighted belief propagation algorithm. The joint perception method for perceiving belief propagation in the heterogeneous cellular network has advantages of good performance in resisting error perception information, no requirement for any coordination equipment for centralized control, no restriction for number of nodes in the heterogeneous cellular network, and convenient expansion for system capacity.

Description

technical field [0001] The invention belongs to the field of cognitive radio technology, and in particular relates to a joint sensing method for cognitive belief propagation in a heterogeneous cellular network. Background technique [0002] With the rapid development of wireless communication technology, the contradiction between the ever-increasing service bandwidth requirements and the limited spectrum resources is becoming more and more acute. Wireless spectrum is a precious natural resource, and its allocation and use need to be authorized by the legal department. However, it is this fixed frequency band allocation scheme that reduces the utilization rate of spectrum resources. Cognitive radio, a booming emerging technology, has the potential to solve the scarcity of wireless spectrum resources. Its basic starting point is to detect spectrum resources that are not used by licensed users, and then make full use of them so that multiple users can share the same frequency...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/382
Inventor 于银辉杨蕾孙海建田小建秦楠楠
Owner JILIN UNIV
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