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Analysis of Resource Allocation Methods in Massive MIMO Systems using Game Theory

Sadeghi, Ehsan | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51182 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Behrouzi, Hamid; Nasiri Kenari, Masoumeh
  7. Abstract:
  8. Nowadays increasing demands of Bandwidth, higher data rate and efficiency cause a huge and novel challenges in communicational systems. One of the recent innovative idea to satisfy these increasing demands is Heterogeneous Networks. Compressive deployment of small cell in Heterogeneous Networks can fulfill a large number of satisfactory parameters in wireless networks. After first Presentation of Heterogeneous Networks idea, loads of structure based on them was proposed.In this Research we consider two outstanding and common structure for this technology and analyze the user association and resource allocation problem at their specific structure. The first one is equipped with simple transceiver in all PBS or MBS area, and the second one is equipped with Multiple Input Multiple Output (MIMO) and Massive MIMO systems.Usually a large number of goals are regarded in order to form user association problem, but there are two prominent goals called Fairness-Oriented and Throughput-Oriented user association schemes. We categorize these two goals and emphasize on Fairness-Oriented algorithms.Usually centralized approach are considered as a key methods for user association problem but we focus on Game theoretical approach which can bring fairness in to the problem.Game theoretical approach can bring problem from complex centralized space to more simple distributed spaces. Then we adopt game theoretic tools to analyze user association and resource allocation problem. At last we will analyze these two structures based on results of association and compare their outputs in terms of fairness criteria and network’s needs
  9. Keywords:
  10. Heterogeneous Networks ; Game Theory ; Massive Multiple-Input Multiple-Output Systems ; Resources Allocation ; User Allocation

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