Papers on "WCDMA Simulator with Smart Antennas" and similar term paper topics
Paper #099833 ::
WCDMA Simulator with Smart Antennas
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This paper is a thesis in which a signal level simulator in uplink is implemented according to the physical layer specification of the IMT-2000 WCDMA system.
Written in 2005; 16,200 words; 58 sources; MLA;
$ 249.95
Paper Summary:
This paper explains that the goal for the next generation of mobile communications system is to seamlessly integrate a wide variety of communication services such as high speed data, video and multimedia traffic as well as voice signals. The author reports that, for the analysis for this thesis, an analytical WCDMA system through the use of linear algebra techniques is utilized along with a simulation tool in Matlab, which was developed for this work. The paper demonstrates performance improvement due to processing gain, PN sequence, RAKE receiver, smart antenna and multiuser detection, which are compared with respective theories. The paper includes many tables, charts, illustrations, equations and all the source codes.
Table of Contents:
Introduction to WCDMA
Introduction
Applicable Techniques to Enhance System Performance
Spreading
Multipath Diversity
Multiuser Detection
Smart Antenna
Outline of This Thesis
Abbreviations
List of Symbols
Analytical WCDMA System Model
Introduction
CDMA System Model for the Uplink
Mobile Radio Channel Model
Discrete Time Base Band Uplink Model
Synchronous CDMA
Asynchronous CDMA
Single Path Model
Multipath Model
Multiple Antenna Model
Conclusion
Spreading in WCDMA
Introduction
Properties of PN Sequence
Spreading and Scrambling in the Uplink of WCDMA
Walsh-Hadamard Codes and Spreading
Gold Codes and Scrambing
Conclusion
RAKE Receiver and Multiuser Detection
Introduction
System Model
The RAKE Receiver
Multiuser Detection
Input Signal Modeling
Optimal Detection
Suboptimal Detection
Decorrelating Detector
Linear Minimum Mean Square Error (MMSE)
Adaptive MMSE Algorithm-RLS Algorithm with Adaptive Memory
Conclusion
Smart Antenna in WCDMA
Types of Smart Antenna
Signal Modeling
Beamforming Schemes
Conventional Beamforming
Optimum Beamforming
Adaptive Beamforming
Conclusion
Simulation
System Setup
Channel
System Performance
Performance without RAKE Receiver and with RAKE Receiver
Performance of 1-D RAKE Receiver with EGC or Selection Combining
Performance of 1-D RAKE Receiver with Decorrelating Detector and MMSE
Performance with PN Sequence and Random Sequence
Performance with Processing Gain
Performance with Adaptive MUD- RLS Algorithm with Adaptive Memory
Performance with Smart Antenna
Conclusion
Conclusion
Summary of Research
Future Work
From the Paper:
"The despreaded sequence is forwarded to the multiuser detector unit. In this unit, performance enhancing signal processing such as beam forming, RAKE combining including channel estimation, antenna diversity combining, multiuser detection and error control decoding can be included. If perfect channel information is available, beam forming, RAKE and antenna diversity combining merely represent linear transformations to obtain a minimal set of sufficient statistics. From the fundamental digital communication theory, this is in fact equivalent to filtering matched to the received waveform in order to maximise the signal-to-noise ratio (SNR)."
Tags:
spreading scrambling gain rake detection
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