VLSI implementation of a multi-standard MIMO symbol detector for 3GPP LTE and WiMAX
WTS'10 Proceedings of the 9th conference on Wireless telecommunications symposium
ML estimation of time and frequency offset in OFDM systems
IEEE Transactions on Signal Processing
BER analysis of QAM on fading channels with transmit diversity
IEEE Transactions on Wireless Communications
Implementation of an SDR system using graphics processing unit
IEEE Communications Magazine
Implementation of LTE system on an SDR platform using CUDA and UHD
Analog Integrated Circuits and Signal Processing
CuSora: Real-time software radio using multi-core graphics processing unit
Journal of Systems Architecture: the EUROMICRO Journal
An efficient GPU implementation of fixed-complexity sphere decoders for MIMO wireless systems
Integrated Computer-Aided Engineering
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Conventional communication systems have been implemented using digital signal processors (DSPs) and/or field programmable gate arrays (FPGAs), especially for software defined radio (SDR) functionality. We propose a scheme that uses a graphics processing unit (GPU) in place of the conventional DSPs or FPGAs for the implementation of an SDR-based communication system. The GPU, a high-speed parallel processor with multiple arithmetic logic units, is adopted for the signal processing of the physical layer required for the parallel processing in an SDR system. The compute unified device architecture (CUDA) based on the C language provides a software development kit (SDK) for the modem application of the GPU. Therefore we utilize the CUDA SDK to implement the real-time modem function. This paper presents an implementation of a 2 脳 2 multiple-input multiple-output (MIMO) WiMAX system employing a GPU as the real-time modem. By installing a radio frequency module on top of the GPU modem, we implement a real-time transmission system for video data. The performance of the proposed GPU-based system is demonstrated by comparing its operation time against that of the conventional DSP-based system.