Distributed diffusion fusion cooperative spectrum sensing based on reinforcement learning
نویسندگان
چکیده
منابع مشابه
Broadband Cooperative Spectrum Sensing Based on Distributed Modulated Wideband Converter
The modulated wideband converter (MWC) is a kind of sub-Nyquist sampling system which is developed from compressed sensing theory. It accomplishes highly accurate broadband sparse signal recovery by multichannel sub-Nyquist sampling sequences. However, when the number of sparse sub-bands becomes large, the amount of sampling channels increases proportionally. Besides, it is very hard to adjust ...
متن کاملCooperative Wideband Spectrum Sensing Based on Sub-Nyquist Cooperative Narrowband Spectrum Sensing in Cognitive Radio Devices
Abstract— This article proposes a new cooperative wideband spectrum-sensing algorithm based on cooperative sub-Nyquist narrow band spectrum sensing in cognitive radio devices (CRD). Within this scenario, to guarantee optimal detection, the spectrum-sensing function must work with a great amount of samples of the signal obtained at rates equal or higher than the Nyquist rate, which generates hig...
متن کاملDeep Sensing: Cooperative Spectrum Sensing Based on Convolutional Neural Networks
In this paper, we investigate cooperative spectrum sensing (CSS) in a cognitive radio network (CRN) where multiple secondary users (SUs) cooperate in order to detect a primary user (PU) which possibly occupies multiple bands simultaneously. Deep sensing, which constitutes the first CSS framework based on a convolutional neural network (CNN), is proposed. In deep sensing, instead of the explicit...
متن کاملDynamic Obstacle Avoidance by Distributed Algorithm based on Reinforcement Learning (RESEARCH NOTE)
In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...
متن کاملOptimal Periodic Cooperative Spectrum Sensing Based on Weight Fusion in Cognitive Radio Networks
The performance of cooperative spectrum sensing in cognitive radio (CR) networks depends on the sensing mode, the sensing time and the number of cooperative users. In order to improve the sensing performance and reduce the interference to the primary user (PU), a periodic cooperative spectrum sensing model based on weight fusion is proposed in this paper. Moreover, the sensing period, the sensi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1827/1/012008