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 measure a...

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Vydáno v:2016 International Conference on Computer and Communication Engineering (ICCCE) s. 256 - 260
Hlavní autoři: Sukor, Masturah Ahamad, Ramli, Huda Adibah Mohd
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2016
Témata:
Adaptive Modulation and Coding
Algorithm design and analysis
Channel Quality Information
Delays
Downlink
Long Term Evolution
Long Term Evolution-Advanced
Modulation
outdate CQI
Quality of service
reporting algorithms
resource block
Signal to noise ratio
user equipment
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Shrnutí: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).
DOI:10.1109/ICCCE.2016.63