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Ph.D. Research Proposal: Kevin Wanuga
Start Date: 3/5/2014Start Time: 9:00 AM
End Date: 3/5/2014End Time: 11:00 AM

Event Description
Title:  Reconfigurable Antenna Control for Spectrum and Dynamic Spectrum Access
Advisor:  Dr. Kapil Dandekar
Date:  Wednesday, March 5, 2014
Time:  9:00 a.m.
Location:  Arcadia Seminar Room, Room 348, 3rd Floor, LeBow Engineering Center

Abstract

Dynamic spectrum access (DSA) is an area of technology being heavily researched to improve inefficiently used spectrum resources.  DSA leverages recent developments of software defined radio for more intelligent and adaptable radio architectures to adjust radio performance to changing conditions in the local RF environment.  While considerable research has been done to improve the identification of smaller spectrum opportunities in time and frequency, less consideration has been given to the spatial dimension DSA.  Electrically reconfigurable antennas are a new technology that provide a technique for electrically altering the performance of antennas in pattern, polarization, and frequency.  These antennas provide a new degree of freedom in the design of adaptable radio front ends for dynamic spectrum access.

The proposed work aims to design antenna control algorithms for optimal spectrum sensing and spectrum access.  These machine learning algorithms use local sensing results from the RF environment to guide the selection of antenna parameters according to differing objectives.  For the purpose of spectrum sensing the goal of antenna selection is provide the antenna mode with the most reliable sensing decisions.  For the purpose of spectrum access, the objective will be to select the antenna mode which maximizes the throughput over momentary spectrum opportunities.  The combination of the two antenna selection algorithms provides a method for improving the spectral efficiency of DSA algorithms through the use of smaller spatial spectrum opportunities.
Location:
Arcadia Seminar Room, Room 348, 3rd Floor, LeBow Engineering Center
Audience:
  • Current Students
  • Faculty
  • Staff

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