Spatial Spectral Efficiency Analysis for Wireless Communications

Spectrum utilization efficiency is one of the primary concerns in the design of future wireless communication systems. Most performance metrics for wireless communication systems focus on either link level capacity or network throughput while ignore the spatial property of wireless transmissions. In...

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Bibliographic Details
Main Author: Zhang, Lei
Other Authors: Yang, Hong-Chuan
Language:English
en
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/1828/5577
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spelling ndltd-uvic.ca-oai-dspace.library.uvic.ca-1828-55772015-01-29T16:52:41Z Spatial Spectral Efficiency Analysis for Wireless Communications Zhang, Lei Yang, Hong-Chuan Hasna, Mazen O. Performance Analysis Spatial Spectral Efficiency Wireless Communications Spectrum utilization efficiency is one of the primary concerns in the design of future wireless communication systems. Most performance metrics for wireless communication systems focus on either link level capacity or network throughput while ignore the spatial property of wireless transmissions. In this dissertation, we focus on the spatial spectral utilization efficiency of wireless transmissions. We first study the spatial spectral efficiency of single-cell and multi-cell wireless relay systems using area spectral efficiency (ASE) performance metric. We then generalize the performance metric, termed as generalized area spectral efficiency (GASE), to measure the spatial spectral utilization efficiency of arbitrary wireless transmissions. In particular, we first introduce the definition of GASE by illustrating its evaluation for conventional point-to-point transmission. Then we extend the analysis to four different transmission scenarios, namely dual-hop relay transmission, three-node cooperative relay transmission, two-user X channels, and underlay cognitive radio transmission. Finally, we apply the GASE performance metric to investigate the spatial spectral efficiency of wireless network with Poisson distributed nodes and quantify the spatial spectral opportunities that could be explored with secondary cognitive systems. Our research on the spatial spectral utilization efficiency provides a new perspective on the designing of wireless communication systems, especially on the transmission power optimization and space-spectrum resource exploitation. Graduate 0544 leizhang@uvic.ca 2014-08-19T20:14:37Z 2014-08-19T20:14:37Z 2014 2014-08-19 Thesis http://hdl.handle.net/1828/5577 English en Available to the World Wide Web
collection NDLTD
language English
en
sources NDLTD
topic Performance Analysis
Spatial Spectral Efficiency
Wireless Communications
spellingShingle Performance Analysis
Spatial Spectral Efficiency
Wireless Communications
Zhang, Lei
Spatial Spectral Efficiency Analysis for Wireless Communications
description Spectrum utilization efficiency is one of the primary concerns in the design of future wireless communication systems. Most performance metrics for wireless communication systems focus on either link level capacity or network throughput while ignore the spatial property of wireless transmissions. In this dissertation, we focus on the spatial spectral utilization efficiency of wireless transmissions. We first study the spatial spectral efficiency of single-cell and multi-cell wireless relay systems using area spectral efficiency (ASE) performance metric. We then generalize the performance metric, termed as generalized area spectral efficiency (GASE), to measure the spatial spectral utilization efficiency of arbitrary wireless transmissions. In particular, we first introduce the definition of GASE by illustrating its evaluation for conventional point-to-point transmission. Then we extend the analysis to four different transmission scenarios, namely dual-hop relay transmission, three-node cooperative relay transmission, two-user X channels, and underlay cognitive radio transmission. Finally, we apply the GASE performance metric to investigate the spatial spectral efficiency of wireless network with Poisson distributed nodes and quantify the spatial spectral opportunities that could be explored with secondary cognitive systems. Our research on the spatial spectral utilization efficiency provides a new perspective on the designing of wireless communication systems, especially on the transmission power optimization and space-spectrum resource exploitation. === Graduate === 0544 === leizhang@uvic.ca
author2 Yang, Hong-Chuan
author_facet Yang, Hong-Chuan
Zhang, Lei
author Zhang, Lei
author_sort Zhang, Lei
title Spatial Spectral Efficiency Analysis for Wireless Communications
title_short Spatial Spectral Efficiency Analysis for Wireless Communications
title_full Spatial Spectral Efficiency Analysis for Wireless Communications
title_fullStr Spatial Spectral Efficiency Analysis for Wireless Communications
title_full_unstemmed Spatial Spectral Efficiency Analysis for Wireless Communications
title_sort spatial spectral efficiency analysis for wireless communications
publishDate 2014
url http://hdl.handle.net/1828/5577
work_keys_str_mv AT zhanglei spatialspectralefficiencyanalysisforwirelesscommunications
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