Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Cognitive radio (CR) is an efficient way to increase spectrum efficiency for the small low earth orbit (LEO) satellite communication system. Due to the implementation difficulties,  focus on the CR in the uplink transmission. In CR, the cognitive medium access (CMA) is designed to enable the coexistence with the interferences from other systems. Hover, the CMA schemes designed for the terrestrial system cannot deal ll with the global history of interferences in our system. Here,  design the memorized centroid bucket (MCB) scheme that can efficiently utilize the global history of interferences onboard without storing the complete interference samples. With MCB,  can achieve the effective long-term interference prediction to meet the special requirements of the LEO satellite. The key component in MCB is the matching algorithm that can help retrieve the useful historical information. ,  propose three different matching algorithms and the corresponding MCB schemes. The schemes are also compared with the widely used Markovian method and the pair counting-based method. Among all the schemes, the Bayesian scheme MCB-FSNMI-Bayes is the best. The conclusion is validated experimentally with the real data that re collected by an LEO satellite.
['Zhuochen Xie', 'Huijie Liu', 'Xuwen Liang']
I am writing a research paper on a idea Onboard Interference Prediction for the Cognitive Medium Access in the LEO Satellite Uplink Transmission
[{"from": "human", "value": "I am writing a research paper on a idea Onboard Interference Prediction for the Cognitive Medium Access in the LEO Satellite Uplink Transmission"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Cognitive radio (CR) is an efficient way to increase spectrum efficiency for the small low earth orbit (LEO) satellite communication system. Due to the implementation difficulties,  focus on the CR in the uplink transmission. In CR, the cognitive medium access (CMA) is designed to enable the coexistence with the interferences from other systems. Hover, the CMA schemes designed for the terrestrial system cannot deal ll with the global history of interferences in our system. Here,  design the memorized centroid bucket (MCB) scheme that can efficiently utilize the global history of interferences onboard without storing the complete interference samples. With MCB,  can achieve the effective long-term interference prediction to meet the special requirements of the LEO satellite. The key component in MCB is the matching algorithm that can help retrieve the useful historical information. ,  propose three different matching algorithms and the corresponding MCB schemes. The schemes are also compared with the widely used Markovian method and the pair counting-based method. Among all the schemes, the Bayesian scheme MCB-FSNMI-Bayes is the best. The conclusion is validated experimentally with the real data that re collected by an LEO satellite."}]