12269

LTE Physical Layer Implementation Using GPU Based High Performance Computing

Sangeeta Bhattacharjee, Satyendra Singh Yadav, Sarat Kumar Patra
Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, India-769008
International Conference on Advanced Communication, Control and Computing Technologies (ICACCCT), 2014

@article{bhattacharjee2014lte,

   title={LTE Physical Layer Implementation Using GPU Based High Performance Computing},

   author={Bhattacharjee, Sangeeta and Yadav, Satyendra Singh and Patra, Sarat Kumar},

   year={2014}

}

Download Download (PDF)   View View   Source Source   

511

views

In recent years Graphics Processing Unit (GPU) has evolved as a high performance data processing technology allowing users to compute large blocks of parallel data using an array of low complexity processors. This paper proposes the implementation of compute intensive portions of 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) physical layer using GPU. LTE employs Orthogonal Frequency Division Multiple Access (OFDMA) in downlink and Single Carrier Frequency Division Multiple Access (SC-FDMA) in uplink. Both these demand computationally complex Inverse Fast Fourier Transform (IFFT) and Fast Fourier Transform (FFT) processing at the transmitter and the receiver. The computational requirements at the base station increases significantly with the increase in number of users. This paper presents a simulation model utilizing the massively parallel architecture of GPU to reduce computation time of IFFT and FFT operations. Simulation results demonstrate that GPU provides a framework for fast data processing in this application.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: