This paper presents the detailed design and the key system performance results of a comprehensive laboratory demonstrator for it broadband Ka-band multi-beam satellite system exploiting the new DVB-S2 standard with adaptive coding and modulation (ACM). This complete demonstrator allows ill-depth verification and optimization of the ACM techniques applied to large satellite broadband networks, as well as complementing and confirming the more theoretical or simulation-based findings published so far. It is demonstrated that few ACM configurations (in terms of modulation and coding) are able to efficiently cope with a typical Ka-band multi-beam satellite system with negligible capacity loss. It is also demonstrated that the exploitation of ACM thresholds with hysteresis represents the most reliable way to adapt the physical layer configuration to the spatial and time variability of the channel conditions while avoiding too many physical layer configuration changes. Simple ACM adaptation techniques, readily implementable over large-scale networks, are shown to perform very well, fulfilling the target packet-error rate requirements even in the presence of deep fading conditions. The impact of carrier phase noise and satellite nonlinearity has also been measured
Within the Digital Video Broadcasting (DVB) family of standards, DVB-SH (satellite to handheld devices) is the first standard for a hybrid system offering parallel reception of satellite and terrestrial signals. In this paper, we discuss the architecture and implementation of a full-featured DVB-SH receiver. In addition, a laboratory test bed including a DVB-SH signal generator that can be used for DVB-SH system validation and receiver characterization is presented. We provide some key results of receiver performance measurements in typical channel conditions. Finally, we highlight the advantage of a multi-frequency network configuration in case of a hybrid reception scenario
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.