Blind Modulation Classification for Cognitive Satellite in the Spectral Coexistence Context

Abstract

Abstract-The scarcity of the usable satellite spectrum has led to a need for advanced communication techniques. Among them, multi-satellite networks have been promoted for their ability to reuse the frequency bands in a more aggressive manner. This is made possible by sharing both the spectral and spatial degrees of freedom. Meanwhile, the concept of Cognitive Satellite (CS) was deeply investigated to make the best of these novel architectures. In this context, very few blind signal processing methods were proposed to tackle the co-channel interference issues entailed by such systems. Herein, we develop a novel low-complexity algorithm for blind Automatic Modulation Classification (AMC) and parameters estimation in the strongly interfering scenario. The proposed method rely on an Analytical study of the M thPower nonlinear Transformation (AM PT) of the co-channel mixture. Theoretical analysis and extensive simulations show the effectiveness of the proposed method in various scenarios.

One-Dimensional Deep Attention Convolution Network (ODACN) for Signals Classification

“…In the non-cooperative communication system, the receiver needs to demodulate and decode signals to recover the transmitted information sequence. Thus, a blind recognition of modulation and channel coding type is necessary, which can be regarded as a pattern recognition task and has attracted interests of many researchers [1], [2]. Traditional methods first extract discriminative features of signals and then use them for the subsequent classification, where the features play the most important role in the recognition.…”

Spectrum Trading for Satellite Communication Systems with Dynamic Bargaining

“…(zhaokanglian@nju.edu.cn) L. Wang is with College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, China. (liwang2002@zjut.edu.cn) S ATELLITE communication systems play an important part in the development of the pervasive internet infrastructure of the cyberspace due to their unique ability to establish a reliable network coverage across the globe, including remote and isolated rural areas [1]- [4]. In remote rural areas, where land-based communication infrastructures are prohibitively costly to provide, the availability of high bandwidth at affordable price has made satellite internet access an essential communication service that connects not only specialized users such as security surveillance and field mining, but also for ordinary users to take advantage of internet applications such as e-banking, navigation and Geosynchronous Orbit (GEO) positioning.…”

“…Resource allocation approaches that support dynamic spectrum and power allocation are likely to allow multibeam satellite systems to be more resource-efficient in complex network circumstances. Furthermore, allocation of spectrum band in satellite systems, especially cognitive satellite communications, that supports spectrum sharing among multiple terrestrial network operators have attracted plenty of interest [22]. In this case, the satellite spectrum is needed and shared by a number of, otherwise isolated, terrestrial network operations.…”

“…Content may change prior to final publication. Citation information: DOI 10.1109/TCOMM.2018.2837909, IEEE Transactions on Communications 8 sufficient conditions can be satisfied:(1) In limited Euclidean space, strategy function s i is a non-empty and compact subset. (2) For a strategy combination S based on s i , f i is continuous and concave.…”

Joint Pricing and Power Allocation for Multibeam Satellite Systems With Dynamic Game Model

“…Dynamic spectrum combined with power allocation can make MSS more feasible in complex network circumstance. Furthermore, the allocation of spectrum band in satellite systems is always performed by ways of spectrum sharing or dynamic spectrum access where cognitive satellite communications sharing satellite spectrum with terrestrial networks have attracted plenty of attention in recent years [16] [17].…”