Title page for ETD etd-07292009-214942


Type of Document Master's Thesis
Author Kelly, Justin
Author's Email Address jk1311@vt.edu
URN etd-07292009-214942
Title On the Benefit of Cooperation of Secondary Users in Dynamic Spectrum Access
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Buehrer, Richard Michael Committee Chair
da Silva, Claudio R. C. M. Committee Member
MacKenzie, Allen B. Committee Member
Keywords
  • dynamic spectrum sharing
  • dynamic spectrum access
  • power control
  • rate adaptation
  • cognitive radio
Date of Defense 2009-07-27
Availability unrestricted
Abstract
For the past 70 years, the Federal Communications Commission (FCC) has been the licensing authority for wireless spectrum. Traditionally, spectrum was commercially licensed to primary users with defined uses. With the growth of personal communication systems in the 1990''s, unallocated spectrum has become a scarce commodity. However, since most primary users are active only at certain times and places, much of the allocated spectrum remains underutilized. Substantial holes exist in the spatio-temporal spectrum that could be opportunistically used by unlicensed secondary users. As a result, the FCC is considering allowing secondary users to opportunistically use frequencies that are not being used by primary users. If multiple secondary users are present in the same geographical area, the concept of Dynamic Spectrum Sharing (DSS) allows these users to share the opportunistic spectrum.

If several secondary users want to use a limited set of frequency resources, they will very likely interfere with each other. Sensing is a distributed technique where each transmitter/receiver pair senses (both passively and actively) the available channels and uses the channel that provides the best performance. While sensing alone allows sharing of the spectrum, it is not the optimal method in terms of maximizing the capacity in such a shared system. If we allow the secondary users to collaborate and share information, optimal capacity might be reached. However, collaboration adds another level of complexity to the transceivers of the secondary users, since they must now be able to communicate (Note that in general, the secondary users may have completely different communication protocols, e.g., Wi-Fi and Bluetooth). Additionally, optimizing the capacity of the available spectrum could have other negative side effects such as impacting the fairness of sharing the resources. Our primary goal is to explore the benefit of this cost-benefit tradeoff by determining the capacity increase obtainable from collaboration. As a secondary goal, we also wish to determine how this increase in capacity affects fairness. To summarize, the goal of this work is to answer the question: Fundamentally, what is the benefit of collaboration in Dynamic Spectrum Sharing?

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