Jan 24, 2014 · The GPU has 5 GB of GDDR5 global memory and 48 kB of shared memory per block. The installed CUDA toolkit is 5.0. The Nvidia is mounted on a PC ...

This paper presents an energy consumption model for the considered collaborative communication system with imperfect phase synchronization and channel fading.

A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems. Authors: Carla Ramiro. Carla Ramiro. Department of Information Systems ...

A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems. Author: Ramiro, Carla. Angeles Simarro, M ; Martinez-Zaldivar, FJ ...

A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems. The Journal of Supercomputing. 70(2):541-551. https://doi.org/10.1007 ...

2014. A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems. Journal of Supercomputing, Vol. 70, Núm. 2, pp. 541-551. 2013.

Apr 25, 2024 · A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems. J. Supercomput. 70(2): 541-551 (2014); 2013. [j3]. view.

A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems. Authors. Carla Ramiro · M. Ángeles Simarro · ORCID ID · F. J. Martínez ...

Pages: 527 - 540. A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems. Carla Ramiro; M. Ángeles Simarro; Alberto González.

2014: A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems The Journal of Supercomputing 70(2): 541-551 · Tao Yang,; Jinhong ...