Modulation Classification in Cognitive Radio
نویسندگان
چکیده
The automatic modulation classification (AMC) problem aims at identifying the modulation scheme of a given communication system with a high probability of success and in a short period of time. AMC has been used for decades in military applications in which friendly signals should be securely transmitted and received, whereas hostile signals must be located, identified and jammed (Gardner, 1988). More recently, the interest for AMC has been renewed by the research on cognitive radios (Haring et al., 2010; Wang & Wang, 2010; Xu et al., 2011), where AMC plays an important role in spectrum sensing (Haykin et al., 2009).
منابع مشابه
Joint Adaptive Modulation and Power Allocation in Cognitive Radio Networks
Link adaptation is an important issue in the design of cognitive radio networks, which aims at making efficient use of system resources. In this paper, we propose and investigate a joint adaptive modulation and power allocation algorithm in cognitive radio networks. Specifically, the modulation scheme and transmit power are adjusted adaptively according to channel conditions, interference limit...
متن کاملEnd-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks
We investigate sequence machine learning techniques on raw radio signal time-series data. By applying deep recurrent neural networks we learn to discriminate between several application layer traffic types on top of a constant envelope modulation without using an expert demodulation algorithm. We show that complex protocol sequences can be learned and used for both classification and generation...
متن کاملPower Control in Cognitive Radio Networks Using Cooperative Modulation and Coding Classification
In this paper, a centralized Power Control (PC) scheme aided by interference channel gain learning is proposed to allow a Cognitive Radio (CR) network to access the frequency band of a Primary User (PU) operating based on an Adaptive Coding and Modulation (ACM) protocol. The main idea is the CR network to constantly probe the band of the PU with intelligently designed aggregated interference an...
متن کاملModulation Classification using Cyclostationary Features on Fading Channels
In this study Automatic Modulation Classification (AMC) which is based on cyclostationary property of the modulated signal are discussed and implemented for the purpose of classification. Modulation Classification (MC) is a technique used to make better the overall performance of cognitive radios. Recently Cognitive Radio (CR) plays a key role in the field of communication. CR also used in the ...
متن کامل