Performance Analysis of AMC for LTE-LAA under Rayleigh Fading Channel

The 3GPP has developed 5 GHz unlicensed band LTE, referred to as licensed-assisted access (LAA). LTE-LAA adopts adaptive modulation and coding (AMC) for the rate adaptation algorithm inherited from LTE. AMC helps the evolved nodeB (eNB) to select a modulation and coding scheme (MCS) for the next tra...

Full description

Saved in:
Bibliographic Details
Published in:2021 International Conference on Information and Communication Technology Convergence (ICTC) pp. 31 - 35
Main Authors: Yi, Jaehong, Kim, Junseok, Lee, Kitaek, Bahk, Saewoong
Format: Conference Proceeding
Language:English
Published: IEEE 20.10.2021
Subjects:
Analytical models
CSMA/CA
Encoding
Fading channels
LBT
LTE-LAA
Markov chain
Markov processes
Modulation
Performance analysis
Wireless networks
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The 3GPP has developed 5 GHz unlicensed band LTE, referred to as licensed-assisted access (LAA). LTE-LAA adopts adaptive modulation and coding (AMC) for the rate adaptation algorithm inherited from LTE. AMC helps the evolved nodeB (eNB) to select a modulation and coding scheme (MCS) for the next transmission using the channel quality indicator feedback of the current transmission. For the conventional LTE operating in the licensed band, there is no node contention problem and AMC performance has been well studied. However, in the case of LTE-LAA operating in the unlicensed band, AMC performance has not been properly addressed due to the collision problem. In this letter, we propose a novel Markov chain-based analysis model for analyzing LTE-LAA performance under a realistic channel model considering AMC operation. We adopt Rayleigh fading channel model widely used in wireless network analysis, and compare our analysis results with the results obtained from ns-3 simulator. Comparison results show an average accuracy of 99.5%, which demonstrates the accuracy of our analysis model.
DOI:10.1109/ICTC52510.2021.9621210