Title page for ETD etd-05212015-210859


Type of Document Dissertation
Author Ali, Ahsan-Abbas
URN etd-05212015-210859
Title Spectrum Allocation in Networks with Finite Sources and Data-Driven Characterization of Users' Stochastic Dynamics
Degree Doctor of Philosophy (Ph.D.)
Department Electrical & Computer Engineering
Advisory Committee
Advisor Name Title
Wei, Shuangqing Committee Chair
Liang, Xuebin Committee Member
Sundar, Padmanaban Committee Member
Vaidyanathan, Ramachandran Committee Member
Zhang, Jian Committee Member
Chaney, Cassandra Dean's Representative
Keywords
  • spectrum allocation
  • traffic aware allocation
  • incidents and context aware allocation
  • public safety communications
  • trunked radio
  • finite source systems
  • cognitive radio
  • call admission and preemption control
  • control channel allocation
  • joint collision and congestion modeling
  • variable length Markov chain
  • context tree
  • Bayesian information criterion
  • sequence segmentation
  • call records data mining and analytics
Date of Defense 2015-05-12
Availability unrestricted
Abstract
During emergency situations, the public safety communication systems (PSCSs) get overloaded with high traffic loads. Note that these PSCSs are finite source networks. The goal of our study is to propose techniques for an efficient allocation of spectrum in finite source networks that can help alleviate the overloading of PSCSs. In a PSCS, there are two system segments, one for the system-access control and the other for communications, each having dedicated frequency channels. The first part of our research, consisting of three projects, is based on modeling and analysis of finite source systems for optimal spectrum allocation, for both access-control and communications. In the first project, Chapter 2, we study the allocation of spectrum based on the concept of cognitive radio systems. In the second project, Chapter 3, we study the optimal communication channel allocation by call admission and preemption control. In the third project, Chapter 4, we study the optimal joint allocation of frequency channels for access-control and communications. Note that the aforementioned spectrum allocation techniques require the knowledge of the call traffic parameters and the priority levels of the users in the system. For practical systems, these required pieces of information are extracted from the call records meta-data. A key fact that should be considered while analyzing the call records is that the call arrival traffic and the users priority levels change with a change in events on the ground. This is so because a change in events on the ground affects the communication behavior of the users in the system, which affects the call arrival traffic and the priority levels of the users. Thus, the first and the foremost step in analyzing the call records data for a given user, for extracting the call traffic information, is to segment the data into time intervals of homogeneous or stationary communication behavior of the user. Note that such a segmentation of the data of a practical PSCS is the goal of our fourth project, Chapter 5, which constitutes the second part of our study.
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