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swift [2023/04/20 16:41] lingjialiu |
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| ===== Research Breakdown ===== | ===== Research Breakdown ===== | ||
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| **IDEA** covers the following research components: | **IDEA** covers the following research components: | ||
| * Analog/mixed-signal neuromorphic computing hardware: SNN-aided device designs including multiplexing neural encoding, computing-in-memory, and efficient training for resource constrained secondary radios to enable on-board intelligence at ultra-low power consumption and compact design areas; | * Analog/mixed-signal neuromorphic computing hardware: SNN-aided device designs including multiplexing neural encoding, computing-in-memory, and efficient training for resource constrained secondary radios to enable on-board intelligence at ultra-low power consumption and compact design areas; | ||
| * Improving spectrum utilization and coexistence through learning: tailored integration of model-free DRL and domain knowledge of spectrum sharing network with improved sample efficiency to increase spectrum utilization in realistic scenarios, along with judiciously designed DSA actions for coexistence; | * Improving spectrum utilization and coexistence through learning: tailored integration of model-free DRL and domain knowledge of spectrum sharing network with improved sample efficiency to increase spectrum utilization in realistic scenarios, along with judiciously designed DSA actions for coexistence; | ||
| * Spectrum sensing through concise statistical modeling and learning: efficient spectrum sensing techniques that exploit the inherent structural information of statistics to accurately extract discriminative higher-order statistical features of various signal sources within a short sensing time; | * Spectrum sensing through concise statistical modeling and learning: efficient spectrum sensing techniques that exploit the inherent structural information of statistics to accurately extract discriminative higher-order statistical features of various signal sources within a short sensing time; | ||
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| The following thrusts are organized to address the above mentioned research components: | The following thrusts are organized to address the above mentioned research components: | ||
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| * Thrust 2: Accelerating Learning-based DRL to Improve Spectrum Utilization; | * Thrust 2: Accelerating Learning-based DRL to Improve Spectrum Utilization; | ||
| * Thrust 3: Spectrum Sensing and Interference Control for Active and Passive Radio Coexistence. | * Thrust 3: Spectrum Sensing and Interference Control for Active and Passive Radio Coexistence. | ||
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| ===== Publication ===== | ===== Publication ===== | ||
swift.txt ยท Last modified: 2023/09/15 14:19 by lingjialiu
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