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Performance Analysis of Opportunistic Selection and Rate Adaptation in Time Varying Channels

Electronic Theses of Indian Institute of Science

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Field Value
 
Title Performance Analysis of Opportunistic Selection and Rate Adaptation in Time Varying Channels
 
Creator Kona, Rupesh Kumar
 
Subject Time Varying Channels
Multi-Node Wireless Systems
Signal-To-Noise Ratio
Opportunistic Selection
Time-Invariant Effective Signal-to-Noise Ratio
Rate Adaptation
Wireless Channels
Modulation and Coding Scheme
Data Transmission
TIESNR
Packet Error Rate
Electrical Communication Engineering
 
Description Opportunistic selection and rate adaptation play a vital role in improving the spectral and power efficiency of current multi-node wireless systems. However, time-variations in wireless channels affect the performance of opportunistic selection and rate-adaptation in the following ways. Firstly, the selected node can become sub-optimal by the time data transmission commences. Secondly, the choice of transmission parameters such as rate and power for the selected node become sub-optimal. Lastly, the channel changes during data transmission.

In this thesis, we develop a comprehensive and tractable analytical framework that accurately accounts for these effects. It differs from the extensive existing literature that primarily focuses on time-variations until the data transmission starts. Firstly, we develop a novel concept of a time-invariant effective signal-to-noise ratio (TIESNR), which tractably and accurately captures the time-variations during the data transmission phase with partial channel state information available at the receiver. Secondly, we model the joint distribution of the signal-to-noise ratio at the time of selection and TIESNR during the data transmission using generalized bivariate gamma distribution.

The above analytical steps facilitate the analysis of the outage probability and average packet error rate (PER) for a given modulation and coding scheme and average throughput with rate adaptation. We also present extensive numerical results to verify the accuracy of each step of our approach and show that ignoring the correlated time variations during the data transmission phase can significantly underestimate the outage probability and average PER, whereas it overestimates the average throughput even for packet durations as low as 1 msec.
 
Contributor Mehta, Neelesh B
 
Date 2017-11-09T15:33:22Z
2017-11-09T15:33:22Z
2017-11-09
2016
 
Type Thesis
 
Identifier http://etd.iisc.ernet.in/handle/2005/2746
http://etd.ncsi.iisc.ernet.in/abstracts/3598/G27601 Abs.pdf
 
Language en_US
 
Relation G27601