Paper Info
Title
Prediction-based Adaptation (PRADA) Algorithm for Modulation and Coding
Abstract
In this paper, we propose a novel adaptive modulation and coding (AMC) algorithm dedicated to reduce the feedback frequency of the channel state information (CSI). There have been already plenty of works on AMC so as to exploit the bandwidth more efficiently with the CSI feedback to the transmitter. However, in some occasions, frequent CSI feedback is not favorable in these systems. This work considers finite-state Markov chain (FSMC) based channel prediction to alleviate the feedback while maximizing the overall throughput. We derive the close-form of the frame error rate (FER) based on channel prediction using limited CSI feedback. In addition, instead of switching settings according to the CSI, we also provide means to combine both CSI and FER as the switching parameter. Numerical results illustrate that the average throughput of the proposed algorithm has significant performance improvement over fixed modulation and coding while the CSI feedback being largely reduced.
Year
Venue
Keywords
2010
Clinical Orthopaedics and Related Research
channel state information,information theory
Field
DocType
Volume
Link adaptation,Transmitter,Computer science,Markov chain,Communication channel,Algorithm,Modulation,Bandwidth (signal processing),Throughput,Channel state information
Journal
abs/1011.5
Citations 
PageRank 
References 
0
0.34
17
Authors
5
Name
Order
Citations
PageRank
Shou-pon Lin1112.39
Jhesyong Jiang200.34
Wei-Ting Lin3101.45
Ping-Cheng Yeh422522.39
Hsuan-Jung Su547459.46