ERA

Download the full-sized PDF of Optimal Opportunistic Channel Access in Wireless Communication NetworksDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R3F18SP6N

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

Optimal Opportunistic Channel Access in Wireless Communication Networks Open Access

Descriptions

Other title
Subject/Keyword
Opportunistic Channel Sensing and Access
Opportunistic Channel Access
Wireless Communications
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Zhang, Zhou
Supervisor and department
Jiang, Hai (Electrical and Computer Engineering)
Examining committee member and department
Jing, Yindi (Electrical and Computer Engineering)
Wong, Vincent, (Electrical and Computer Engineering, University of British Columbia)
Niu, Di (Electrical and Computer Engineering)
Khabbazian, Majid (Electrical and Computer Engineering)
Jiang, Hai (Electrical and Computer Engineering)
Department
Department of Electrical and Computer Engineering
Specialization
Communications
Date accepted
2013-09-23T14:56:13Z
Graduation date
2013-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
High transmission rates will be demanded in future wireless communication networks. However, we will soon experience a spectrum scarcity problem since almost all available spectrum has been allocated to various wireless applications. A promising solution to this problem is to significantly improve the spectrum utilization efficiency by using opportunistic channel access (OCA). In the literature, OCA approaches have been developed in two kinds of networks: cognitive radio networks (CRNs) (in which secondary users, which are unlicensed users, may access the spectrum when primary users, which are licensed users, are not active) and wireless networks exploiting time diversity (in which a user may give up its transmission opportunity if its channel is deeply faded). This thesis is focused on optimal OCA in such two networks, with four research components. The first three research components are to achieve optimality in CRNs. The first research component is for the scenario that the statistical information of primary traffic (such as busy/idle probabilities) is known at a secondary user. When a secondary user can sense multiple channels simultaneously but the maximum numbers of channels that can be sensed simultaneously and that can be accessed simultaneously are both limited, we derive optimal strategies to select which channels to sense and which sensed-free channels to access. The second research component is for the scenario that statistical information of primary traffic is unknown and thus needs to be learned during channel sensing and access process (which results in learning loss). When busy/idle states of each channel are independent from one slot to another, we derive secondary channel sensing and access rules with asymptotically finite learning loss or logarithmic learning loss. As an extension of the second research component, the third research component uses another popular channel statistical behavior model: busy/idle states of each channel over time slots follow a Markov chain. We derive a channel sensing and access rule with logarithmic learning loss. The last (but not the least) research component is for optimal distributed OCA that utilizes time-diversity in wireless cooperative networks. Two cases are considered: the case when the source knows channel state information of links from itself to relays and from relays to its destination; and the case when a source knows only channel state information of links from itself to relays. In the two cases, the optimal transmission strategies that maximize the average system throughput are derived theoretically. Our research reveals that time diversity can be exploited in a wireless cooperative network by our proposed strategies.
Language
English
DOI
doi:10.7939/R3F18SP6N
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2014-04-24T23:57:42.131+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 679432
Last modified: 2016:08:04 15:19:05-06:00
Filename: Zhang_Zhou_Fall 2013.pdf
Original checksum: 86c4b0367d716817b2775caba464074b
Well formed: true
Valid: false
Status message: Invalid page tree node offset=21778
Activity of users you follow
User Activity Date