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Virginia Tech

Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand

Abstract

dc:description.abstract

Realistic mobility and cellular traffic modeling is key to various wireless networking applications and have a significant impact on network performance. Planning and design, network resource allocation and performance evaluation in cellular networks require realistic traffic modeling. We propose a Discrete Event Simulation framework, Diamond - (Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand) to model and analyze realistic activity based mobility and spectrum demand patterns. The framework can be used for spatio-temporal estimation of load, in deciding location of a new base station, contingency planning, and estimating the resilience of the existing infrastructure. The novelty of this framework lies in its ability to capture a variety of complex, realistic and dynamically changing events effectively. Our initial results show that the framework can be instrumental in contingency planning and dynamic spectrum allocation.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Science and Applications
Department dc:contributor.department
Computer Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chandan, Shridhar
Chairs dc:contributor.committeechair
  • Vullikanti, Anil Kumar S.
  • Marathe, Madhav Vishnu
Committee member dc:contributor.committeemember
  • Marathe, Achla

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:2169
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/25331

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chandan, Shridhar. Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand. masters thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25331