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Matching Heterogeneous User Demands: Localized Self-organization Game and MARL Based Network Selection

  • Zhiyong DuEmail author
  • Bin Jiang
  • Qihui Wu
  • Yuhua Xu
  • Kun Xu
Chapter

Abstract

This chapter focuses on network selection for multiple user cases. Since users’ network selection decision determines the load distribution of networks, users’ decision-making is interacted. In particular, when heterogeneous user demand is considered, the solution of the optimal match between users and networks becomes a challenge. Centralized solutions could achieve a fair performance at a high optimization cost. Distributed solutions incur less cost but commonly result in low efficiency due to user competition. Different from centralized approaches or distributed approaches, we propose a local improvement algorithm, where networks that share users, called coupled network pairs (CNPs), cooperatively re-associate users with user demand awareness. Under a novel localized self-organization game formulation, we proved that the local improvement algorithm can achieve promising performance. To speed up the convergence of the algorithm, we further exploit the spatial independence among CNPs and propose an enhanced local improvement algorithm. Finally, simulation results indicate that the proposed algorithms achieve much better performance with relatively short convergence time, compared with three distributed algorithms.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Zhiyong Du
    • 1
    Email author
  • Bin Jiang
    • 1
  • Qihui Wu
    • 2
  • Yuhua Xu
    • 3
  • Kun Xu
    • 1
  1. 1.National University of Defense TechnologyChangshaChina
  2. 2.Nanjing University of Aeronautics and AstronauticsNanjingChina
  3. 3.Army Engineering University of PLANanjingChina

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