Modeling and Analysis of Heterogeneous and Cognitive Cellular Networks

• Author / Creator

  Dhungana, Yamuna

• The unprecedented escalation in the data traffic demand due to rapid proliferation of smart phones and tablets cannot be fulfilled with the advancement in radio link technologies only as the radio link efficiency is fast approaching its limit. This problem motivates new paradigms of network deployment and spectrum utilization – heterogeneous network (HetNet) and cognitive radio. This thesis addresses the coexistence and interference management challenges in HetNets and cognitive radio networks while exploring the capacity and reliability improvement opportunities. Due to the increasing irregularity in the spatial deployment of the network nodes in HetNets and cognitive radio networks, the stochastic geometry based modeling and analysis is adopted. The idea is to abstract the locations of the network nodes with a suitable point process and then analyze the average behavior of the network using tools from stochastic geometry. With this approach, the cell range expansion (CRE) method of load balancing supported by interference coordination via resource partitioning for the capacity improvement in HetNets is analyzed. In order to accurately model the network interference, the cell-load is also incorporated in this analysis. To understand the coexistence between the multi-antenna techniques and HetNet, and how they complement each other for the network throughput improvement, a tractable framework for modeling and analyzing a multi-antenna HetNet is developed, along with comprehensive performance evaluation of beamforming, multi-user spatial multiplexing and interference nulling techniques in the presence of perfect as well as imperfect channel state information (CSI). Motivated by the lack of error probability analysis of the cellular networks in the presence of inter-cell interference, a mathematical framework for computing the average error probability of a typical cellular user is introduced. Uniform approximation (UA) method for the average error probability analysis in Poisson field of interferers is also developed to simplify the analytical complexity of the existing results. To alleviate the spectrum scarcity problem in future cellular networks, an underlay method of cognitive secondary access to television (TV) spectrum is analyzed, and a relay transmission technique to improve the performance of secondary users is proposed.

• Subjects / Keywords

  • Uniform approximation
  • Orthogonal frequency division multiple access
  • Heterogeneous networks (HetNets)
  • Cognitive radio
  • Resource partitioning
  • Cell range expansion (CRE)
  • Multiple-input multiple-output (mimo)
  • Space division multiple access (SDMA)
  • Stochastic geometry
  • Error probability
  • Interference limited wireless networks
  • Poisson point process (PPP)
  • Interference nulling
  • Cognitive cellular networks

• Graduation date

  Spring 2016

• Type of Item

  Thesis

• Degree

  Doctor of Philosophy

• DOI

  https://doi.org/10.7939/R3F18SP2Q

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.