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Journal article
Transmission Capacity of Wireless Networks
Foundations and trends in networking, v 5(2-3), pp 109-281
01 Jan 2010
Abstract
Transmission capacity (TC) is a performance metric for wireless networks that measures the spatial intensity of successful transmissions per unit area, subject to a constraint on the permissible outage probability (where outage occurs when the signal to interference plus noise ratio (SINR) at a receiver is below a threshold). This volume gives a unified treatment of the TC framework that has been developed by the authors and their collaborators over the past decade. The mathematical framework underlying the analysis (reviewed in Section 2) is stochastic geometry: Poisson point processes model the locations of interferers, and (stable) shot noise processes represent the aggregate interference seen at a receiver. Section 3 presents TC results (exact, asymptotic, and bounds) on a simple model in order to illustrate a key strength of the framework: analytical tractability yields explicit performance dependence upon key model parameters. Section 4 presents enhancements to this basic model - channel fading, variable link distances (VLD), and multihop. Section 5 presents four network design case studies well-suited to TC: (i) spectrum management, (ii) interference cancellation, (iii) signal threshold transmission scheduling, and (iv) power control. Section 6 studies the TC when nodes have multiple antennas, which provides a contrast vs. classical results that ignore interference.
Metrics
Details
- Title
- Transmission Capacity of Wireless Networks
- Creators
- Steven Weber - Drexel UniversityJeffrey G. Andrews - Univ Texas Austin, Austin, TX 78712 USA
- Publication Details
- Foundations and trends in networking, v 5(2-3), pp 109-281
- Publisher
- Now Publishers Inc
- Number of pages
- 173
- Grant note
- CCF-0643508 / NSF; National Science Foundation (NSF) W911NF-07-1-0028 / DARPA IT-MANET; United States Department of Defense; Defense Advanced Research Projects Agency (DARPA)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000420134400001
- Scopus ID
- 2-s2.0-84856011075
- Other Identifier
- 1601985193; 9781601985194; 991019167600004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture