Performance analysis on automated and average channel quality information (CQI) reporting algorithm in LTE-A
Robust service can be achieved in error prone Long Term Evolution-Advanced (LTE-A) by dealing with imperfect Channel Quality Information (CQI). CQI is very crucial in evolved Node B (eNodeB) to decide the corresponding modulation and coding scheme in LTE and LTE-A. User Equipment (UE) will meas...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/52668/ http://irep.iium.edu.my/52668/ http://irep.iium.edu.my/52668/ http://irep.iium.edu.my/52668/1/52668.pdf http://irep.iium.edu.my/52668/2/52668-Performance%20Analysis%20on%20Automated%20and%20Average%20Channel%20Quality%20Information%20%28CQI%29%20Reporting%20Algorithm%20in%20LTE-A_SCOPUS.pdf |
| Summary: | Robust service can be achieved in error prone
Long Term Evolution-Advanced (LTE-A) by dealing with
imperfect Channel Quality Information (CQI). CQI is very
crucial in evolved Node B (eNodeB) to decide the
corresponding modulation and coding scheme in LTE and
LTE-A. User Equipment (UE) will measure and estimate the
CQI in order to maximize the throughput performance.
Adaptive Modulation and Coding (AMC) is used in order to
adapt with the channel variation environments but the
wireless channel itself is subject to various impairments
including imperfect CQI report which may lead to
degradation of the Quality of Service (QoS). The
performance of two CQI reporting algorithms which are
Automated CQI Reporting Algorithm and Average CQI
Reporting Algorithm are being analyzed in this paper. The
simulation results demonstrated that the Average CQI
Reporting Algorithm produced more promising results with
the increment about 15% of the system capacity and capable
to support delay up to 63.6% compared to Automated CQI
Reporting Algorithm with respect to the Packet Loss Ratio
(PLR) |
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