Title page for ETD etd-102309-152900

Document Type thesis

Author Name Chen, Si

Email Address chensi at wpi.edu

URN etd-102309-152900

Title Cross-Layer Optimization and Dynamic Spectrum Access for Distributed Wireless Networks

Degree ME

Department Electrical & Computer Engineering

Advisors
Alexander M. Wyglinski, Advisor
Kaveh Pahlavan, Committee Member
Sudharman K. Jayaweera, Committee Member

Keywords
Dynamic Spectrum Access
Distributed Wireless Networks
Cognitive Radio

Date of Presentation/Defense 2009-10-22

Availability unrestricted

Abstract
We proposed a novel spectrum allocation approach for distributed cognitive radio networks.
Cognitive radio systems are capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance system and network performance. Using this technology, our proposed approach optimizes each individual wireless device and its single-hop communication links using the partial operating parameter and environmental information from adjacent devices within the wireless network.
Assuming stationary wireless nodes, all wireless communication links employ non-contiguous orthogonal frequency division multiplexing (NC-OFDM) in order to enable dynamic spectrum access (DSA). The proposed approach will attempt to simultaneously minimize the bit error rate, minimize out-of-band (OOB) interference, and maximize overall throughput using a multi-objective fitness function. Without loss in generality, genetic algorithms are employed to perform the actual optimization.
Two generic optimization approaches, subcarrier-wise approach and block-wise approach, were proposed to access spectrum. We also proposed and analyzed several approaches implemented via genetic algorithms (GA), such as quantizing variables, using adaptive variable ranges, and Multi-Objective Genetic Algorithms, for increasing the speed and improving the results of combined spectrum utilization/cross-layer optimization approaches proposed, together with several assisting processes and modifications devised to make the optimization to improve efficiency and execution time.

Files
chen.pdf

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Document Type	thesis
Author Name	Chen, Si
Email Address	chensi at wpi.edu
URN	etd-102309-152900
Title	Cross-Layer Optimization and Dynamic Spectrum Access for Distributed Wireless Networks
Degree	ME
Department	Electrical & Computer Engineering
Advisors	Alexander M. Wyglinski, Advisor Kaveh Pahlavan, Committee Member Sudharman K. Jayaweera, Committee Member
Keywords	Dynamic Spectrum Access Distributed Wireless Networks Cognitive Radio
Date of Presentation/Defense	2009-10-22
Availability	unrestricted
Abstract We proposed a novel spectrum allocation approach for distributed cognitive radio networks. Cognitive radio systems are capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance system and network performance. Using this technology, our proposed approach optimizes each individual wireless device and its single-hop communication links using the partial operating parameter and environmental information from adjacent devices within the wireless network. Assuming stationary wireless nodes, all wireless communication links employ non-contiguous orthogonal frequency division multiplexing (NC-OFDM) in order to enable dynamic spectrum access (DSA). The proposed approach will attempt to simultaneously minimize the bit error rate, minimize out-of-band (OOB) interference, and maximize overall throughput using a multi-objective fitness function. Without loss in generality, genetic algorithms are employed to perform the actual optimization. Two generic optimization approaches, subcarrier-wise approach and block-wise approach, were proposed to access spectrum. We also proposed and analyzed several approaches implemented via genetic algorithms (GA), such as quantizing variables, using adaptive variable ranges, and Multi-Objective Genetic Algorithms, for increasing the speed and improving the results of combined spectrum utilization/cross-layer optimization approaches proposed, together with several assisting processes and modifications devised to make the optimization to improve efficiency and execution time.
Files	chen.pdf