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Enhancing Wireless Communication: Models, Tools, and Analysis for Better Service Provision

This document presents comprehensive models and tools aimed at improving wireless communication services. It addresses the growing demand for wireless access and explores mechanisms such as admission control, load balancing, and channel switching. With an emphasis on performance analysis, the study highlights the need for detailed models of network and user activity across spatial and temporal dimensions. The findings, developed through collaborative research at FORTH and UNC, provide valuable insights for the design and analysis of wireless infrastructures. Publicly available data, analysis tools, and models support further research in this field.

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Enhancing Wireless Communication: Models, Tools, and Analysis for Better Service Provision

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  1. UNC/FORTH Archive of Wireless Traces, Models and Tools Prof. Maria Papadopouli1,2 1Foundation for Research & Technology-Hellas (FORTH) & University of Crete 2 University of North Carolina at Chapel Hill IBM Faculty Award, EU Marie Curie IRG, GSRT grants

  2. Wireless landscape • Growing demand for wireless access • Mechanisms for better than best-effort service provision Admission control, channel switching, load balancing, roaming • Performance analysis of these mechanisms • Majority of studies make high-level observations about traffic dynamics in tempo-spatial domain • Models of network &user activityin various spatio-temporalscales are required • Limited studies and testbeds for DTNs

  3. User B Wireless infrastructure disconnection Internet Router Wired Network AP3 Switch Wireless Network User A AP 1 AP 2

  4. 1 2 3 0 Wireless infrastructure Internet disconnection Router Wired Network Switch AP3 Wireless Network User A AP 1 AP 2 roaming roaming User B Associations Flows Packets

  5. Modelling objectives • Important dimensions on wireless network modelling • user demand (access & traffic) • topology (network, infrastructure, radio propagation) • Structures that are well-behaved, robust, scalable & reusable • Publicly available analysis tools, traces, & models

  6. Internet disconnection Wired Network Router Switch AP3 Wireless Network User A AP 1 AP 2 Events User B Session 1 2 3 0 Association Flow Arrivals t1 t2 t3 t4 t5 t6 t7 time

  7. Modeling structures • Session • arrival process • starting AP • Flow within session • arrival process • number of flows • size Captures interaction between clients & network Above packet level for traffic analysis & closed-loop traffic generation

  8. Our parameters and models

  9. Tradeoffs in spatio-temporal modeling Objective Scale

  10. Summary of modeling results Multi-level parametric modelling of wireless demand • Network-wide models: • Time-varying Poisson process for session arrivals • biPareto for in-session flow numbers & flow sizes • Lognormal for in-session flow interarrivals • Validation of models over two different periods • Same distributions apply for modeling at finer spatial scales building-level, groups of buildings with similar usage • Evaluation of scalability-accuracy tradeoff

  11. UNC/FORTH web archive  Online repository of models, tools, and traces • Packet header, SNMP, SYSLOG, signal quality http://netserver.ics.forth.gr/datatraces/  Free login/ password to access it Joint effort of Mobile Computing Groups @FORTH & UNC  maria@csd.uoc.gr

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