Разработка основанной на кластерах стратегии совместного зондирования спектра в когнитивной радиосети
Аннотация
General definition: Cognitive radio (CR) has recently been described as a possible solution for increasing spectrum utilization by allowing secondary access to licensed bands that are now underused. The absence of interference with the primary system is a need for this secondary access.
Spectrum sensing is a critical capability in cognitive radio systems because of this requirement. Energy detection is an interesting method among typical spectrum sensing techniques due to its simplicity and efficiency.
The general problem (why we need to CR)
The increasing demand for wireless applications has placed several restrictions on the use of available radio spectrum, which is a scarce and valuable resource. Cognitive radio is a remarkable technology that offers a novel technique to increase the efficiency with which available electromagnetic spectrum is utilized.
What will do:
It is necessary to develop an effective cooperative spectrum sensing (CSS) strategy in cognitive radio (CR), which is seen as a viable approach for improving spectrum utilization.
• The goal of our thesis is to offer a cluster-based optimal selective CSS system for lowering reporting time and bandwidth while keeping a given level of sensing performance.
• Clusters can be grouped based on the determination of the primary signal-to-noise ratio value, and the cluster head in every cluster can be dynamically selected based on the sensing data quality of CR users.
• The cluster sensing decision could be based on an appropriate selective CSS threshold that reduces the likelihood of sensing inaccuracy.
6
• To shorten the time for reporting decisions to cluster fusion centers, a parallel reporting technique based on frequency division could be offered. The ideal Chair-Varshney rule can be used in the fusion center to get a high sensing performance depending on the existing cluster information.
• Our results will support by MATLAB simulation model.
Spectrum sensing is a critical capability in cognitive radio systems because of this requirement. Energy detection is an interesting method among typical spectrum sensing techniques due to its simplicity and efficiency.
The general problem (why we need to CR)
The increasing demand for wireless applications has placed several restrictions on the use of available radio spectrum, which is a scarce and valuable resource. Cognitive radio is a remarkable technology that offers a novel technique to increase the efficiency with which available electromagnetic spectrum is utilized.
What will do:
It is necessary to develop an effective cooperative spectrum sensing (CSS) strategy in cognitive radio (CR), which is seen as a viable approach for improving spectrum utilization.
• The goal of our thesis is to offer a cluster-based optimal selective CSS system for lowering reporting time and bandwidth while keeping a given level of sensing performance.
• Clusters can be grouped based on the determination of the primary signal-to-noise ratio value, and the cluster head in every cluster can be dynamically selected based on the sensing data quality of CR users.
• The cluster sensing decision could be based on an appropriate selective CSS threshold that reduces the likelihood of sensing inaccuracy.
6
• To shorten the time for reporting decisions to cluster fusion centers, a parallel reporting technique based on frequency division could be offered. The ideal Chair-Varshney rule can be used in the fusion center to get a high sensing performance depending on the existing cluster information.
• Our results will support by MATLAB simulation model.