DocumentCode :
2167900
Title :
New LTE downlink CQI correction algorithm
Author :
Xun Yuan ; Yanan Liu ; Xinxing Jing ; Bing Han
Author_Institution :
Guilin Univ. of Electron. Sci. & Technol., Guilin, China
fYear :
2013
fDate :
17-19 Nov. 2013
Firstpage :
157
Lastpage :
161
Abstract :
In order to adapt channel variation and maximize throughput performance, Adapt Modulation and Coding (AMC) is used in Long-Term Evaluation (LTE) downlink. However, due to the wireless channel random variation, inaccurate reported Channel Quality Indicator (CQI) is introduced, which will affect quality of data transmission. Therefore, it is necessary to modify reported CQI in AMC process. Although this paper adopts a traditional CQI correction algorithm, it ignores the influence of great deviation and burst noise. To overcome these shortages, an improved CQI correction algorithm which is based on the traditional method is proposed. The new algorithm is not only depend on acknowledge of data blocks but also depend on previous modified CQI to correct current reported CQI. The performance of two CQI correction algorithm based on both perfect noise power estimation and real noise power estimation are simulated in a LTE downlink platform. By comparing these results, it can be conclude that performance of new CQI correction algorithm is better when the terminal moving in the high-speed channel model ETU300.
Keywords :
Long Term Evolution; adaptive codes; adaptive estimation; adaptive modulation; burst noise; channel estimation; optimisation; random processes; wireless channels; AMC; LTE downlink CQI correction algorithm; adapt channel variation; adapt modulation and coding; burst noise; channel quality indicator; data transmission quality; high-speed channel model ETU300; long term evaluation; perfect noise power estimation; real noise power estimation; throughput performance maximization; wireless channel random variation; Algorithm design and analysis; Channel estimation; Downlink; Estimation; Indexes; Modulation; Signal to noise ratio; Adaptive modulation and coding; Channel quality indicator; Long-term evolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Technology (ICCT), 2013 15th IEEE International Conference on
Conference_Location :
Guilin
Type :
conf
DOI :
10.1109/ICCT.2013.6820365
Filename :
6820365
Link To Document :
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