Quantization and fixed-point arithmetic for MIMO MMSE-IC linear turbo-equalization - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Quantization and fixed-point arithmetic for MIMO MMSE-IC linear turbo-equalization

Résumé

In digital communication applications, floating-point arithmetic is generally used to conduct performance evaluation studies of new proposed algorithms. This is typically limited to theoretical performance evaluation in terms of communication quality and error rates. For a practical implementation perspective, using fixed-point arithmetic instead of floating-point reduces significantly the costs in terms of area occupation and energy consumption. However, this implies a complex conversion process, particularly if the considered algorithm includes complex arithmetic operations with high accuracy requirements and if the target system presents many configuration parameters. In this context, the purpose of the paper is to investigate the influence on error rate performance related to the implementation of minimum mean-squared error (MMSE) linear turbo-equalization algorithm for multiple-input multiple-output (MIMO) systems utilizing fixed-point rather than floating-point arithmetic.
Fichier non déposé

Dates et versions

hal-01058011 , version 1 (25-08-2014)

Identifiants

Citer

Mostafa Rizk, Amer Baghdadi, Michel Jezequel, Yasser Mohanna, Youssef Atat. Quantization and fixed-point arithmetic for MIMO MMSE-IC linear turbo-equalization. ICM 2013 : 25th IEEE International Conference on MicroelectronicsMicroelectronics, Dec 2013, Beirut, Lebanon. pp.1 - 4, ⟨10.1109/ICM.2013.6735008⟩. ⟨hal-01058011⟩
228 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More