2009
DOI: 10.1109/tim.2009.2016294
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Design of Software-Defined Radio Channel Simulator for Wireless Communications: Case Study With DSRC and UWB Channels

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Cited by 21 publications
(12 citation statements)
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“…Figure 2(b) shows the BER performance of OFDM transceiver using 64-QAM. For demonstration we have chosen 120 km/hr and 200 km/hr; performance for high speed, that is, 200 km/hr, seems to degrade than the performance for system with less speed, that is, 120 km/hr, because at higher speed the channel behaves as a fast fading channel and for slower speed channel behaves as a slow fading channel [8]. The test results show that the BER performance of the OFDM transceiver in the high-speed time-varying fading channel will be reduced to less than 10 −5 at the minimum SNR of 12 dB for 16-QAM and 28 dB for 64-QAM at 120 Km/hr.…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…Figure 2(b) shows the BER performance of OFDM transceiver using 64-QAM. For demonstration we have chosen 120 km/hr and 200 km/hr; performance for high speed, that is, 200 km/hr, seems to degrade than the performance for system with less speed, that is, 120 km/hr, because at higher speed the channel behaves as a fast fading channel and for slower speed channel behaves as a slow fading channel [8]. The test results show that the BER performance of the OFDM transceiver in the high-speed time-varying fading channel will be reduced to less than 10 −5 at the minimum SNR of 12 dB for 16-QAM and 28 dB for 64-QAM at 120 Km/hr.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…The 2 × 2 SFBC-OFDM system and a six-path fading channel model are considered as an example of the MIMO-OFDM system in the simulations to prove that the acceptable bit error rate (BER) can be achieved by employing 16-QAM and 64-QAM modulations in time-varying fast fading channels. We consider the vehicle speed of 200 km/h, resulting in the Doppler frequency of 1093 Hz to satisfy the fast fading condition for MIMO-OFDM channel [8,9].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, if the number of users in a given cell of a mobile wireless system is less than the maximum number of array branches, the SDR DBF only needs to operate in the parts of the array branches in order to save the energy. If the processing time of the SDR DBF is longer than the channel coherent time of a mobile wireless system, we can decrease the processing time to meet the flat fading channel operation condition [19] by either reducing the array branches of the SDR DBF or using the parallel processing if the double gate counts are available in FPGA. Previous SDR implementation without MFMO circuit modules such as [8] cannot scalably adapt its hardware configuration to the changing number of antenna branches to save the energy.…”
Section: Methodsmentioning
confidence: 99%
“…Volterra models [20] and neural network models [21], [22], with theoretical support for their modeling properties, can be considered the most successful models, but their good performance is shadowed by their computational complexity. The Volterra series [9] is given as follows:…”
Section: Pa Behavioral Modeling and Inverse Modeling For Indirectmentioning
confidence: 99%
“…Moreover, software-based implementation offers high reconfigurability for any change in transmitter hardware and configuration, and also supports the concept of software-defined radio at the transmitter end for effective communication [9].…”
mentioning
confidence: 98%