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Utility and profit maximization in dynamic spectrum allocation
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Text
TitleInfo
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Title
Utility and profit maximization in dynamic spectrum allocation
Identifier
ETD_1740
Identifier
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051167
Language
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eng
Genre
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theses
Subject
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(authority = RUETD)
Topic
Electrical and Computer Engineering
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Wireless communication systems
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Radio frequency allocation
Abstract
Demand driven, short term allocation of spectrum will be important for future wireless systems. Engineering and economics will jointly determine optimal ways to operate such systems. In this thesis, we characterize two operating principles of dynamic spectrum access: decentralized commons and centralized property right.
In decentralized commons, co-located devices sense spectrum for vacant bands to transmit. Assuming an OFDM based physical layer, this means that a device can transmit in non contiguous tones. We analyze how symbol timing synchronization can be achieved using cyclic prefix based algorithms. For different spectral occupancies of the transmitter and fading conditions, we identify scenarios where synchronization algorithms yield satisfactory results and scenarios where they do not.
For the centralized property rights regime, we develop a two tiered spectrum allocation model where spectrum is first allocated to service providers (SPs) by a broker and then to customers by SPs.
First we assume that the users transmit to the SPs in the uplink after spectrum allocation, who maximize the sum utility of the users. We derive optimal allocation for different system parameters. We introduce a spectrum price and use it to demonstrate several key results about spectrum allocation. The spectrum price proves to be the regulatory mechanism that brings about coordination amongst the SPs with minimal control messaging. Our approach thus strikes a balance between a total and no central coordination.
Next we consider a downlink scenario where SPs sell spectrum to users and then transmit data. The SPs operate to maximize their profits. Each SP transmits at a specific power spectral density which is an indicator of the modulation and coding technology used for transmission. When there is only one SP, it can act as a monopolist and when there are multiple SPs, they compete. We characterize the customer to SP interactions in monopoly and SP price competition. We derive the prices charged and profits made by the SPs and show how they vary with provider efficiencies and spectrum costs charged by the broker. We show that an SP should invest in better technology if the broker cost of spectrum is high.
In decentralized commons, co-located devices sense spectrum for vacant bands to transmit. Assuming an OFDM based physical layer, this means that a device can transmit in non contiguous tones. We analyze how symbol timing synchronization can be achieved using cyclic prefix based algorithms. For different spectral occupancies of the transmitter and fading conditions, we identify scenarios where synchronization algorithms yield satisfactory results and scenarios where they do not.
For the centralized property rights regime, we develop a two tiered spectrum allocation model where spectrum is first allocated to service providers (SPs) by a broker and then to customers by SPs.
First we assume that the users transmit to the SPs in the uplink after spectrum allocation, who maximize the sum utility of the users. We derive optimal allocation for different system parameters. We introduce a spectrum price and use it to demonstrate several key results about spectrum allocation. The spectrum price proves to be the regulatory mechanism that brings about coordination amongst the SPs with minimal control messaging. Our approach thus strikes a balance between a total and no central coordination.
Next we consider a downlink scenario where SPs sell spectrum to users and then transmit data. The SPs operate to maximize their profits. Each SP transmits at a specific power spectral density which is an indicator of the modulation and coding technology used for transmission. When there is only one SP, it can act as a monopolist and when there are multiple SPs, they compete. We characterize the customer to SP interactions in monopoly and SP price competition. We derive the prices charged and profits made by the SPs and show how they vary with provider efficiencies and spectrum costs charged by the broker. We show that an SP should invest in better technology if the broker cost of spectrum is high.
PhysicalDescription
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electronic resource
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xvii, 112 p. : ill.
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application/pdf
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Note
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Ph.D.
Note
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Includes bibliographical references (p. 105-110)
Note
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by Joydeep Acharya
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Acharya
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Joydeep
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1978
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Joydeep Acharya
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Yates
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Roy
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chair
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Advisory Committee
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Roy D Yates
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Mandayam
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Narayan
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internal member
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Narayan Mandayam
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Rose
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Christopher
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Christopher Rose
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Buddhikot
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Milind
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outside member
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Milind Buddhikot
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Rutgers University
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Graduate School - New Brunswick
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2009
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2009-05
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xx
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Rutgers University Electronic Theses and Dissertations
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ETD
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Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier
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doi:10.7282/T38P60RM
Genre
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ETD doctoral
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The author owns the copyright to this work.
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Open
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Non-exclusive ETD license
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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