By Thomas W Rondeau, Charles W Bostian
This state-of-the-art source deals functional evaluation of cognitive radio - a paradigm for instant communications during which a community or a instant node alterations its transmission or reception parameters. The alteration of parameters is predicated at the energetic tracking of numerous components within the exterior and inner radio surroundings. This ebook deals a close description of cognitive radio and its person components. Practitioners find out how the fundamental processing parts and their services are carried out as modular parts. in addition, the e-book explains how every one part could be built and proven independently, prior to integration with the remainder of the engine. Practitioners realize how cognitive radio makes use of man made intelligence to accomplish radio optimization. The booklet additionally offers an in-depth for instance of the constructed cognitive engine and an experimental situation to assist engineers comprehend its functionality and behaviour.
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The decision maker then determines if optimization is needed to build a better waveform, use a waveform from the case base, or maintain the current waveform. If using a waveform from the case base, the cognitive radio could attempt to optimize the past solutions or bypass the optimization process altogether if that waveform performs well or if there is not enough time to find an alternative solution. The decision maker and CBDT are discussed in detail in Chapter 6. 4 Policy Engine The optimization process takes sensor data and creates a new waveform to meet some specified QoS.
One of the most significant changes between the USRPv1 and USRPv2 is the use of a gigabit Ethernet (GigE) link instead of USB to transfer data. With full-duplex GigE, the USRPv2 can simultaneously transmit and receive 25 MHz bandwidth signals at complex baseband. Throughout this book, the real differences between the USRPv1 and USRPv2 are unimportant. In the cognitive radio concept, these systems play the same role. We will generically refer to these two systems as the USRP since we will not need to further differentiate their capabilities.
When the cognitive engine wants to reconfigure the radio’s waveform, it uses a generic, communications theory representation in XML that is most likely meaningless to the radio. The representation describes the physical layer behavior in terms of communications concepts like symbol rate, modulation type, and carrier frequency. The radio framework then translates these values to commands specific to the radio platform. The mapping between the XML format to the radio-specific format is done by first parsing the XML file from the cognitive engine and formatting the commands used to configure the radio.