Current Search: Pandya, Abhijit S. (x) » Wireless communication systems (x)
-
-
Title
-
Performance analysis of RLP for NAK based ARQ scheme in cdma2000 wireless systems for random error channels.
-
Creator
-
Easo, Daniel J., Florida Atlantic University, Pandya, Abhijit S.
-
Abstract/Description
-
This thesis is an effort to present the performance analysis of the RLP in cdma2000, which uses the NAK based ARQ scheme for Random Error Channels. The performance analyses is done in terms of throughput and mean extra delay, which are calculated analytically and are compared with the results generated from the simulations. As the demand for higher data rates increases over the wireless channels, this thesis studies the effect of the random errors over the different types of RLP frame formats...
Show moreThis thesis is an effort to present the performance analysis of the RLP in cdma2000, which uses the NAK based ARQ scheme for Random Error Channels. The performance analyses is done in terms of throughput and mean extra delay, which are calculated analytically and are compared with the results generated from the simulations. As the demand for higher data rates increases over the wireless channels, this thesis studies the effect of the random errors over the different types of RLP frame formats and also the performance of the NAK based ARQ mechanism used in these conditions. The simulation provides with the overall characteristics of the throughput and the mean extra delay in terms of realistic environment parameters like Eb/No and probability of packet error (Pe), based on the channel conditions.
Show less
-
Date Issued
-
2001
-
PURL
-
http://purl.flvc.org/fcla/dt/12810
-
Subject Headings
-
Code division multiple access, Wireless communication systems, Mobile communication systems
-
Format
-
Document (PDF)
-
-
Title
-
A neural network-based receiver for interference cancellation in multi-user environment for DS/CDMA systems.
-
Creator
-
Shukla, Kunal Hemang., Florida Atlantic University, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
-
Abstract/Description
-
The objective of this work is to apply and investigate the performance of a neural network-based receiver for interference cancellation in multiuser direct sequence code division multiple access (DSCDMA) wireless networks. This research investigates a Receiver model which uses Neural Network receiver in combination with a conventional receiver system to provide an efficient mechanism for the Interference Suppression in DS/CDMA systems. The Conventional receiver is used for the time during...
Show moreThe objective of this work is to apply and investigate the performance of a neural network-based receiver for interference cancellation in multiuser direct sequence code division multiple access (DSCDMA) wireless networks. This research investigates a Receiver model which uses Neural Network receiver in combination with a conventional receiver system to provide an efficient mechanism for the Interference Suppression in DS/CDMA systems. The Conventional receiver is used for the time during which the neural network receiver is being trained. Once the NN receiver is trained the conventional receiver system is deactivated. It is demonstrated that this receiver when used along with an efficient Neural network model can outperform MMSE receiver or DFFLE receiver with significant advantages, such as improved bit-error ratio (BER) performance, adaptive operation, single-user detection in DS/CDMA environment and a near far resistant system.
Show less
-
Date Issued
-
2003
-
PURL
-
http://purl.flvc.org/fcla/dt/12975
-
Subject Headings
-
Neural networks (Computer science), Wireless communication systems, Code division multiple access
-
Format
-
Document (PDF)
