A Prediction Algorithm of Neural Network Applied in AMC Based on LTE System

Peng Sun; Chi Yun Xu; Jing Yang

doi:10.4028/www.scientific.net/AMM.543-547.2825

Paper Titles

A Generation Algorithm of DRR Based on GPU
p.2809

Pulse Wave Velocity System of Repeat Iterative Adaptive Algorithm for Smart Antenna
p.2813

Filtering Algorithm for Removing Image Impulse Noise
p.2817

An Adaptive Multiple Branch Tree Algorithm in RFID
p.2821

A Prediction Algorithm of Neural Network Applied in AMC Based on LTE System
p.2825

Multi-Frame Super-Resolution Reconstruction Algorithm Based on Diffusion Tensor Regularization Term
p.2828

The DSP Implementation of Algorithm for Voice Speed Changing and Pitch Shifting Based on TD-PSOLA
p.2833

Improved Adaptive α-β Filtering Algorithm
p.2838

The Research on Mutil-Objective Location Routing Problem Based on Genetic Simulated Annealing Algorithm
p.2842

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547A Prediction Algorithm of Neural Network Applied...

A Prediction Algorithm of Neural Network Applied in AMC Based on LTE System

Abstract:

AMC technology has been widely applied in the LTE system due to its advantages , but the majority methods of AMC algorithm of CQI reporting ignores the influence of time delay error currently. This article first explores the delay effect of the error of CQI reporting and block error rate of the system through the simulation. Aiming at the influence of time delay error, a CQI reporting mechanism based on neural network is presented in this paper and we found this algorithm effectively solves the problems of the existence of time delay error through simulation on the improved basis.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2825-2827

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2825

Citation:

Cite this paper

Online since:

March 2014

Authors:

Peng Sun*, Chi Yun Xu, Jing Yang

Keywords:

AMC, Neural Network (NN), Time Delay Error

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] 3GPP TR 25. 814 V7. 1. 0 Physical layer aspects for e-UTRA[S]. (2006).

Google Scholar

[2] Nanda S, Balachandran K, Kumar S. Adaptation Techniques in Wireless Packet Data Services[J]. IEEE Comm. Mag., 2000, 3(1): 54-64.

DOI: 10.1109/35.815453

Google Scholar

[3] 3GPP TS 36. 211 v11. 4: Evolved Universal Terrestrial Radio Access(E-UTRA); Physical channels and modulation. (Release 11)[S]. 2013-09.

Google Scholar

[4] Jun Wang , Hongyang Chen , Shaoqian Li. Soft‐output MMSE V‐BLAST receiver with MMSE channel estimation under correlated Rician fading MIMO channels[J]. Wirel. Commun. Mob. Comput., 2011, Vol. 12 (15).

DOI: 10.1002/wcm.1067

Google Scholar

[5] 3GPP TS 36. 211 v11. 4: Evolved Universal Terrestrial Radio Access(E-UTRA); Physical channels and modulation. (Release 11)[S]. 2013-09.

Google Scholar