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Opportunistic Fair Resource Allocation for Multi-Cell Wireless Networks

Shahsavari, Shahram | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47238 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engieering
  6. Advisor(s): Hossein Khalaj, Babak
  7. Abstract:
  8. In recent years, introduction of new technologies has highlighted the need to more data rate in mobile networks. Classical methods of resource allocation in mobile networks cannot respond to this huge demand for data rate because of their limitations. Resource allocation, as one of the operators’ tasks, plays a key role in the network efficiency and users’ data rate. Opportunistic resource allocation and scheduling have gained attention in recent years. On the other, using single-channel (frequency reuse-1) networks is also one of the methods to improve data rate in mobile networks. It is expected that the use of opportunistic scheduling in single-channel networks can repond to the huge demands. Recently, opportunistic fair scheduling problem, has been solved for single-cell wireless networks. However, researchers have conducted only few researches on the same problem for multi-cell wireless networks. Theoretical and practical complexities are of the most important reasons of low number of the researches. The main goal of this research is to suggest some simple, powerful and practical methods for the aforementioned problem in multi-cell wireless networks. We propose two novel methods for multi-cell problem and show their effectiveness by a number of simulations. We show that our methods outperform the existing ones by a number of fair comparisons. Low theoretical and practical complexities, the ability to control the convergence time, to define several type of fairness, to do load balancing and to improve the cell-boundary users’ data rate, are the most important features of our methods
  9. Keywords:
  10. Resources Allocation ; Multi-Cell Networks ; Load Balancing ; Service Quality Provisioning ; Opportunistic Resource Allocation ; Fair Scheduling

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