WO2015084149A1 - A system and method for managing availability of radio frequency in a cooperative network - Google Patents
A system and method for managing availability of radio frequency in a cooperative network Download PDFInfo
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- WO2015084149A1 WO2015084149A1 PCT/MY2014/000163 MY2014000163W WO2015084149A1 WO 2015084149 A1 WO2015084149 A1 WO 2015084149A1 MY 2014000163 W MY2014000163 W MY 2014000163W WO 2015084149 A1 WO2015084149 A1 WO 2015084149A1
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- base station
- radio frequency
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- cooperative network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0006—Assessment of spectral gaps suitable for allocating digitally modulated signals, e.g. for carrier allocation in cognitive radio
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/12—Wireless traffic scheduling
- H04W72/1215—Wireless traffic scheduling for collaboration of different radio technologies
Definitions
- This invention is related to the field of communication technologies and more particularly a system and method for managing availability of radio frequency in a cooperative network.
- cognitive radios were built upon software-defined radio technology that are capable of being aware of its operating environment and automatically adapts itself to desired communications. Operating frequency, power output, antenna orientation, modulation, and transmitter bandwidth are a few of the operating parameters that can be adjusted automatically in a cognitive radio system. Therefore, the next generation of wireless networks and their devices, especially cognitive radios are aimed such that they are capable of self-configuring, self-organizing, self-optimizing, and self-protecting.
- Cognitive radio as an agile radio system, utilizes available spectrum dynamically and opportunistically without causing harmful interference.
- Cognitive radio users equipped with accurate sensing are able to fill in spectrum holes and adapt to its radio transmitting parameters.
- one of the challenges for cognitive radio users is to detect the presence of primary users at a particular instant and a specific location. Furthermore, it has to continuously sense the spectrum being used to detect reappearance of the primary users, and withdraw the resources at an instant.
- the cognitive radio users utilize quiet periods during which all secondary activities are prohibited to allow the cognitive devices to sense for incumbent primary signals. Scheduling of these quiet periods is a challenging process as it may adversely affect the overall network performance of the cognitive radio system.
- Prior art US 20120195212 A1 discloses cooperative sensing scheduling and parameter designs, which can achieve improvements in energy efficiency in cognitive radio networks. Similar to the present invention, the prior art performs sensing of secondary user terminals in a scheduled manner and it utilizes a Partially Observable Markov Decision Process (POMDP) framework to facilitate the determination of optimal cooperative sensing scheduling.
- POMDP Partially Observable Markov Decision Process
- the prior art fails to address the problem of large amount of time spent on sensing that may mitigate the bandwidth efficiency, and the small amount of time spent on sensing that may cause interference.
- the prior art only discloses the optimization of cooperative sensing scheduling to achieve energy efficiency in cognitive radio networks.
- Prior art US 20080261639 A1 discloses cluster-based cooperative spectrum sensing for cognitive radio systems. Unlike the present invention, the prior art discloses the steps of measuring and receiving energy for each cluster by each cognitive user device within the cluster based on the signals received from each of the cognitive user devices within the cluster, and making a decision by the cluster head device whether the primary user device is present in a designated portion of network spectrum. The prior art only describes how the method could avoid interference but it does not disclose any method that could increase bandwidth efficiency and decrease interference to optimize sensing.
- the present invention relates to a system for managing availability of radio frequency in a cooperative network comprising a base station, a plurality of cognitive devices that communicate with the base station for performing radio frequency sensing, and a database for receiving and storing information from the base station, characterized in that the base station (2) optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the cognitive devices to maintain bandwidth efficiency and to mitigate interference.
- Also disclosed is a method for managing availability of radio frequency in a cooperative network comprising the steps of managing a plurality of cognitive devices in the cooperative network, scheduling radio frequency sensing periods among the cognitive devices in the cooperative network using a base station, and establishing communications in the cooperative network, characterized in that the base station (2) optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the cognitive devices to maintain bandwidth efficiency and to mitigate interference.
- Figure 1 illustrates a system for managing availability of radio frequency in a cooperative network.
- Figure 2 illustrates a flow diagram of the method for managing availability of radio frequency in a cooperative network.
- Figure 3 illustrates a flow diagram of the step for managing a plurality of cognitive devices.
- Figure 4 illustrates a flow diagram of the step for scheduling radio frequency sensing periods among the cognitive devices in the cooperative network using a base station.
- Figure 5 illustrates a flow diagram of the step for establishing communications in the cooperative network.
- Figure 6 illustrates an example of tabulation of time-frequency sequence codes for the scheduling of sensing periods of the cognitive devices in a cluster-based cooperative network.
- FIG. 1 discloses a system (1 ) for managing availability of radio frequency in a cooperative network comprising a base station (2), a plurality of cognitive devices (4) that communicate with the base station (2) for performing radio frequency sensing, and a database (3) for receiving and storing information from the base station (2), characterized in that the base station (2) optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the cognitive devices to maintain bandwidth efficiency and to mitigate interference.
- the cognitive device (4) herein described is a sensing device and the information described herein comprises any one or a combination of primary user traffic pattern obtained from the base station (2), results from the sensing of the cognitive devices (4) and time-frequency codes for each cluster of the cognitive devices (4).
- the time-frequency codes define interleaving sequences of the available frequencies for utilizing bands among the clusters at every sensing period. It should be appreciated that the coexistence between cognitive devices and primary users in a cluster based cooperative network are considered and the present invention aims to optimize scheduling of radio frequency sensing periods so that primary users are well discovered to avoid causing harmful interference and that secondary users may spend optimum time in spectrum sensing in order to be bandwidth efficient.
- the sensing periods are scheduled using time-frequency interleaves among cognitive devices (4) in a cooperative network.
- the time-frequency codes are pre-determined by the base station (2) and the said codes are classified into categories based on traffic conditions of primary users.
- the base station (2) determines the said codes for each cluster based on the sensing results at every sensing interval.
- a method is also disclosed in the embodiment of the invention for managing availability of radio frequency in a cooperative network, where the method, generally, involves classifying the said codes based on statistical modeling of primary user traffic pattern using Markov Decision Process (MDP).
- MDP Markov Decision Process
- the Markov Decision Process provides a mathematical framework for modeling decision making in situations where outcomes are under the control of the base station (2), in such a way that it maximizes reward policy.
- the method comprises the steps of managing a plurality of cognitive devices (4) in the cooperative network, scheduling radio frequency sensing periods among the cognitive devices (4) in the cooperative network using a base station (2), and establishing communications in the cooperative network, characterized in that the base station (2) optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the cognitive devices to maintain bandwidth efficiency and to mitigate interference.
- Figure 3 illustrates the flow diagram of the step of managing a plurality of cognitive devices (4) in the cooperative network.
- the step further comprises initializing at least a network between the cognitive devices (4) a base station (2), and broadcasting a cooperative network invitation to the cognitive devices (4) within the coverage of the cooperative network.
- the cognitive devices (4) then initiate a response by notifying and reporting to the base station (2) for network registration. Thereafter, the cognitive devices (4) determine and report their current location that is obtained either using a global positioning system or other similar services.
- the base station (2) performs clustering of the cognitive devices (4) based on the relative distance between the cognitive devices (4) and the base station (2) and selects a cluster representative from each cluster of the cognitive devices (4) in the cooperative network based on the highest received signal strength (RSSI) among the cognitive devices (4) in each cluster.
- RSSI received signal strength
- the step of scheduling radio frequency sensing periods among the cognitive devices (4) in the cooperative network using a base station (2) further comprises the steps of initializing a traffic pattern database of a primary user for each cluster using the base station (2).
- the base station (2) then broadcasts time-frequency sequence codes to each cluster.
- An example of tabulation of time-frequency sequence codes for the scheduling of sensing periods of the cognitive devices (4) in a cluster-based cooperative network is illustrated in figure 6. It should be understood by the skilled addressee that the said table may be included with more frequencies and clusters, depending on the network conditions.
- the cognitive devices (4) perform radio frequency sensing and thereafter report results of the radio frequency sensing to a cluster representative.
- the cluster representative determines radio frequency availability based on a decision fusion of the sensing results and reports the decision fusion to the base station (2) so that the base station (2) classifies the traffic condition of each cluster.
- the classification of the traffic condition of each cluster is based on a statistical modelling of primary user traffic pattern using Markov Decision Process (MDP).
- MDP Markov Decision Process
- MDV Markov Decision Process
- R at is an immediate reward due to the cluster head decisions with respect to the sensing result
- S for each cluster in f instant of a sensing interval The goal is to choose an optimal policy of the base station to declare a change of primary user traffic condition in each cluster if a condition exceeds a certain pre-defined thresholds.
- the Markov Decision Process (MDP) may be solved by using methods such as linear programming or dynamic programming.
- the traffic pattern database of the primary user for each cluster are stored and updated. Lastly, a statistical decision is processed and time-frequency codes for subsequent sensing intervals are generated.
- the step of establishing communications in the cooperative network is illustrated in the flow diagram of Figure 5.
- the step further comprises receiving a notification from the base station (2) by each cluster in the cooperative network. Thereafter, the base station (2) determines whether radio frequency sensing is required. If it is not required, a communication link in the cooperative network is established with the base station (2) using the cognitive devices. Subsequently, the base station (2) determines whether the said communication link is continuously in connection with the base station (2). If it is in connection with the base station (2), the step of establishing a communication link in the cooperative network is repeated.
- the cognitive devices (4) notifies a cluster representative, and the cognitive devices (4) continue to stay in connection with the cluster representative until the end of the sensing intervals.
- the cognitive devices (4) perform radio frequency sensing and thereafter report the results of the radio frequency sensing to a cluster representative and the traffic pattern database of a primary user for each cluster is stored and updated. In the meantime, the cognitive devices (4) continue to stay in connection with the cluster representative until the end of the sensing intervals.
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Abstract
The invention discloses a system for managing availability of radio frequency in a cooperative network, where the system is capable of optimizing the scheduling of radio frequency sensing periods so that primary users are well discovered to avoid causing harmful interference and that secondary users may spend optimum time in spectrum sensing in order to be bandwidth efficient. Also disclosed is a method for managing availability of radio frequency in a cooperative network, where the method optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic condition of the cognitive devices (4) based on a statistical modelling of primary user traffic pattern using Markov Decision Process (MDP).
Description
A SYSTEM AND METHOD FOR MANAGING AVAILABILITY OF RADIO FREQUENCY IN A COOPERATIVE NETWORK
TECHNICAL FIELD OF THE INVENTION
This invention is related to the field of communication technologies and more particularly a system and method for managing availability of radio frequency in a cooperative network.
BACKGROUND OF THE INVENTION
The concept of a cognitive radio was introduced by Joseph Mitola, which has proliferated new paradigm of technologies to the solution of spectral congestion. Accordingly, cognitive radios were built upon software-defined radio technology that are capable of being aware of its operating environment and automatically adapts itself to desired communications. Operating frequency, power output, antenna orientation, modulation, and transmitter bandwidth are a few of the operating parameters that can be adjusted automatically in a cognitive radio system. Therefore, the next generation of wireless networks and their devices, especially cognitive radios are aimed such that they are capable of self-configuring, self-organizing, self-optimizing, and self-protecting.
Cognitive radio, as an agile radio system, utilizes available spectrum dynamically and opportunistically without causing harmful interference. Cognitive radio users equipped with accurate sensing are able to fill in spectrum holes and adapt to its radio transmitting parameters. However, one of the challenges for cognitive radio users is to detect the presence of primary users at a particular instant and a specific location. Furthermore, it has to continuously sense the spectrum being used to detect reappearance of the primary users, and withdraw the resources at an instant. In order to achieve this, the cognitive radio users utilize quiet periods during which all secondary activities are prohibited to allow the cognitive devices to sense for incumbent primary signals. Scheduling of these quiet periods is a
challenging process as it may adversely affect the overall network performance of the cognitive radio system.
Prior art US 20120195212 A1 discloses cooperative sensing scheduling and parameter designs, which can achieve improvements in energy efficiency in cognitive radio networks. Similar to the present invention, the prior art performs sensing of secondary user terminals in a scheduled manner and it utilizes a Partially Observable Markov Decision Process (POMDP) framework to facilitate the determination of optimal cooperative sensing scheduling. However, the prior art fails to address the problem of large amount of time spent on sensing that may mitigate the bandwidth efficiency, and the small amount of time spent on sensing that may cause interference. The prior art only discloses the optimization of cooperative sensing scheduling to achieve energy efficiency in cognitive radio networks.
Prior art US 20080261639 A1 discloses cluster-based cooperative spectrum sensing for cognitive radio systems. Unlike the present invention, the prior art discloses the steps of measuring and receiving energy for each cluster by each cognitive user device within the cluster based on the signals received from each of the cognitive user devices within the cluster, and making a decision by the cluster head device whether the primary user device is present in a designated portion of network spectrum. The prior art only describes how the method could avoid interference but it does not disclose any method that could increase bandwidth efficiency and decrease interference to optimize sensing.
Therefore, it is an aim of this present invention to optimize scheduling of radio frequency sensing periods so that primary users are well discovered to avoid causing harmful interference and that secondary users may spend optimum time in spectrum sensing in order to be bandwidth efficient.
SUMMARY OF THE PRESENT INVENTION
The present invention relates to a system for managing availability of radio frequency in a cooperative network comprising a base station, a plurality of cognitive devices that communicate with the base station for performing radio frequency sensing, and a database for receiving and storing information from the base station, characterized in that the base station (2) optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the cognitive devices to maintain bandwidth efficiency and to mitigate interference.
Also disclosed is a method for managing availability of radio frequency in a cooperative network comprising the steps of managing a plurality of cognitive devices in the cooperative network, scheduling radio frequency sensing periods among the cognitive devices in the cooperative network using a base station, and establishing communications in the cooperative network, characterized in that the base station (2) optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the cognitive devices to maintain bandwidth efficiency and to mitigate interference.
BRIEF DESCRIPTION OF THE DRAWINGS
Figure 1 illustrates a system for managing availability of radio frequency in a cooperative network.
Figure 2 illustrates a flow diagram of the method for managing availability of radio frequency in a cooperative network. Figure 3 illustrates a flow diagram of the step for managing a plurality of cognitive devices.
Figure 4 illustrates a flow diagram of the step for scheduling radio frequency sensing periods among the cognitive devices in the cooperative network using a base station. Figure 5 illustrates a flow diagram of the step for establishing communications in the cooperative network.
Figure 6 illustrates an example of tabulation of time-frequency sequence codes for the scheduling of sensing periods of the cognitive devices in a cluster-based cooperative network.
DETAILED DESCRIPTION OF THE PRESENT INVENTION
The above mentioned and other features and objects of this invention will become more apparent and better understood by reference to the following detailed description. It should be understood that the detailed description made known below is not intended to be exhaustive or limit the invention to the precise form disclosed as the invention may assume various alternative forms. On the contrary, the detailed description covers all the relevant modifications and alterations made to the present invention, unless the claims expressly state otherwise.
One of the embodiments of the invention, as illustrated in figure 1 , discloses a system (1 ) for managing availability of radio frequency in a cooperative network comprising a base station (2), a plurality of cognitive devices (4) that communicate with the base station (2) for performing radio frequency sensing, and a database (3) for receiving and storing information from the base station (2), characterized in that the base station (2) optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the cognitive devices to maintain bandwidth efficiency and to mitigate interference.
Based on the embodiments of the present invention, the cognitive device (4) herein described is a sensing device and the information described herein comprises any one or a combination of primary user traffic pattern obtained from the base station (2), results from the sensing of the cognitive devices (4) and time-frequency codes for each cluster of the cognitive devices (4). The time-frequency codes define interleaving sequences of the available frequencies for utilizing bands among the clusters at every sensing period. It should be appreciated that the coexistence between cognitive devices and primary users in a cluster based cooperative network are considered and the present invention aims to optimize scheduling of radio frequency sensing periods so that primary users are well discovered to avoid causing harmful interference and that secondary users may spend optimum time in spectrum sensing in order to be bandwidth efficient.
The sensing periods are scheduled using time-frequency interleaves among cognitive devices (4) in a cooperative network. The time-frequency codes are pre-determined by the base station (2) and the said codes are classified into categories based on traffic conditions of primary users. The base station (2) determines the said codes for each cluster based on the sensing results at every sensing interval.
A method is also disclosed in the embodiment of the invention for managing availability of radio frequency in a cooperative network, where the method, generally, involves classifying the said codes based on statistical modeling of primary user traffic pattern using Markov Decision Process (MDP). The Markov Decision Process provides a mathematical framework for modeling decision making in situations where outcomes are under the control of the base station (2), in such a way that it maximizes reward policy.
In the present embodiment, the method, as illustrated in the flow diagram of figure 2, comprises the steps of managing a plurality of cognitive devices (4)
in the cooperative network, scheduling radio frequency sensing periods among the cognitive devices (4) in the cooperative network using a base station (2), and establishing communications in the cooperative network, characterized in that the base station (2) optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the cognitive devices to maintain bandwidth efficiency and to mitigate interference. Figure 3 illustrates the flow diagram of the step of managing a plurality of cognitive devices (4) in the cooperative network. The step further comprises initializing at least a network between the cognitive devices (4) a base station (2), and broadcasting a cooperative network invitation to the cognitive devices (4) within the coverage of the cooperative network. The cognitive devices (4) then initiate a response by notifying and reporting to the base station (2) for network registration. Thereafter, the cognitive devices (4) determine and report their current location that is obtained either using a global positioning system or other similar services. Subsequently, the base station (2) performs clustering of the cognitive devices (4) based on the relative distance between the cognitive devices (4) and the base station (2) and selects a cluster representative from each cluster of the cognitive devices (4) in the cooperative network based on the highest received signal strength (RSSI) among the cognitive devices (4) in each cluster. As illustrated in the flow diagram of figure 4, the step of scheduling radio frequency sensing periods among the cognitive devices (4) in the cooperative network using a base station (2) further comprises the steps of initializing a traffic pattern database of a primary user for each cluster using the base station (2). The base station (2) then broadcasts time-frequency sequence codes to each cluster. An example of tabulation of time-frequency sequence codes for the scheduling of sensing periods of the cognitive devices (4) in a cluster-based cooperative network is illustrated in figure 6. It should be understood by the skilled addressee that the said table may be
included with more frequencies and clusters, depending on the network conditions.
Further, the cognitive devices (4) perform radio frequency sensing and thereafter report results of the radio frequency sensing to a cluster representative. The cluster representative then determines radio frequency availability based on a decision fusion of the sensing results and reports the decision fusion to the base station (2) so that the base station (2) classifies the traffic condition of each cluster. The classification of the traffic condition of each cluster is based on a statistical modelling of primary user traffic pattern using Markov Decision Process (MDP). The Markov Decision Process (MDV) provides a mathematical framework for modelling decision making in situations where outcomes are under the control of the base station (2), such that maximizing reward policy of
where Rat is an immediate reward due to the cluster head decisions with respect to the sensing result, S for each cluster in f instant of a sensing interval. The goal is to choose an optimal policy of the base station to declare a change of primary user traffic condition in each cluster if a condition exceeds a certain pre-defined thresholds. The Markov Decision Process (MDP) may be solved by using methods such as linear programming or dynamic programming. The traffic pattern database of the primary user for each cluster are stored and updated. Lastly, a statistical decision is processed and time-frequency codes for subsequent sensing intervals are generated.
The step of establishing communications in the cooperative network is illustrated in the flow diagram of Figure 5. The step further comprises receiving a notification from the base station (2) by each cluster in the cooperative network. Thereafter, the base station (2) determines whether radio frequency sensing is required. If it is not required, a communication link
in the cooperative network is established with the base station (2) using the cognitive devices. Subsequently, the base station (2) determines whether the said communication link is continuously in connection with the base station (2). If it is in connection with the base station (2), the step of establishing a communication link in the cooperative network is repeated. On the other hand, if the communication link is not in connection with the base station (2) the cognitive devices (4) notifies a cluster representative, and the cognitive devices (4) continue to stay in connection with the cluster representative until the end of the sensing intervals. However, if radio frequency sensing is determined to be required, the cognitive devices (4) perform radio frequency sensing and thereafter report the results of the radio frequency sensing to a cluster representative and the traffic pattern database of a primary user for each cluster is stored and updated. In the meantime, the cognitive devices (4) continue to stay in connection with the cluster representative until the end of the sensing intervals.
The invention described herein is susceptible to variations, modifications and/or additions other than those specifically described and it is to be understood that the invention includes all such variations, modifications and/or additions which fall within the scope of the following claims.
Claims
1. A system (1 ) for managing availability of radio frequency in a cooperative network comprising:
a base station (2);
a plurality of cognitive devices (4) that communicate with the base station (2) for performing radio frequency sensing; and
a database (3) for receiving and storing information from the base station (2);
characterized in that the base station (2) optimizes scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the cognitive devices to maintain bandwidth efficiency and to mitigate interference.
2. A system (1 ) of claim 1 , wherein the cognitive device (4) is a sensing device.
3. A system (1) of claim 1 , wherein the information comprises any one or a combination of primary user traffic pattern obtained from the base station (2), results from the sensing of the cognitive devices (4) and time-frequency codes for each cluster of the cognitive devices (4).
4. A method (5) for managing availability of radio frequency in a cooperative network comprising the steps of:
managing a plurality of cognitive devices (4) in the cooperative network;
scheduling radio frequency sensing periods among the cognitive devices (4) in the cooperative network using a base station (2); and
establishing communications in the cooperative network,
characterized in that the base station (2) optimizes the scheduling of radio frequency sensing periods among the cognitive devices (4) by classifying traffic conditions of the cognitive devices (4) into categories and generating time-frequency codes based on the traffic conditions of the
cognitive devices to maintain bandwidth efficiency and to mitigate interference.
5. A method (5) of claim 4, wherein the step of managing a plurality of cognitive devices (4) in the cooperative network further comprising the steps of:
initializing at least a network between the cognitive devices (4) and the base station (2);
broadcasting a cooperative network invitation to the cognitive devices (4);
notifying and reporting to the base station (2) using the cognitive devices (4);
determining and reporting current location by using the cognitive device (4);
performing cognitive device (4) clustering using the base station (2); and
selecting a cluster representative from each cluster by the base station (2).
6. A method (5) of claim 4, wherein the step of scheduling radio frequency sensing periods among the cognitive devices (4) in the cooperative network using a base station (2) further comprising the steps of: initializing a traffic pattern database of a primary user using the base station (2);
broadcasting time-frequency sequence codes to each cluster;
performing radio frequency sensing using the cognitive device (4); reporting results of the radio frequency sensing to a cluster representative;
determining radio frequency availability using a decision fusion of the cluster representative;
reporting the decision fusion to the base station (2) using the cluster representative;
classifying traffic condition of each cluster using the base station (2);
storing and updating the traffic pattern database of the primary user for each cluster by the base station (2); and
processing a statistical decision and generating time-frequency codes for subsequent sensing intervals.
7. A method (5) of claim 4, wherein the step of establishing communications in the cooperative network further comprising the steps of: receiving a notification from the base station (2) by each cluster in the cooperative network;
determining the requirement of radio frequency sensing;
establishing a communication link in the cooperative network with the base station (2) using the cognitive devices (4) when radio frequency sensing is not required;
determining whether the said communication link is in connection with the base station (2); and
repeating the step of establishing a communication link in the cooperative network when the communication link is in connection with the base station (2) and notifying a cluster representative using the cognitive devices (4) when the communication link is not in connection with the base station (2).
8. A method (5) of claim 4, wherein the step of establishing communications in the cooperative network further comprising the steps of: receiving a notification from the base station (2) by each cluster in the cooperative network;
determining the requirement of radio frequency sensing;
performing radio frequency sensing using the cognitive device (4); reporting results of the radio frequency sensing to a cluster representative; and
storing and updating a traffic pattern database of a primary user for each cluster using the base station (2).
9. A method (5) of claim 4, wherein the cognitive device (4) is a sensing device.
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| CN110166153B (en) * | 2019-05-17 | 2021-04-09 | 中国电子科技集团公司第三十八研究所 | Grid cooperative spectrum detection method for cognitive wireless network |
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