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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/15487

タイトル: Marginal Contribution-Based Distributed Subchannel Allocation in Small Cell Networks
著者: Shah, Shashi
Kittipiyakul, Somsak
Lim, Yuto
Tan, Yasuo
キーワード: Small Cells
Distributed Subchannel Allocation
Game Theory
Best-Response
Potential Games
Marginal Contribution
発行日: 2018-05-10
出版者: MDPI
誌名: Sensors
巻: 18
号: 5
開始ページ: 1500
DOI: 10.3390/s18051500
抄録: The paper presents a game theoretic solution for distributed subchannel allocation problem in small cell networks (SCNs) analyzed under the physical interference model. The objective is to find a distributed solution that maximizes the welfare of the SCNs, defined as the total system capacity. Although the problem can be addressed through best-response (BR) dynamics, the existence of a steady-state solution, i.e., a pure strategy Nash equilibrium (NE), cannot be guaranteed. Potential games (PGs) ensure convergence to a pure strategy NE when players rationally play according to some specified learning rules. However, such a performance guarantee comes at the expense of complete knowledge of the SCNs. To overcome such requirements, properties of PGs are exploited for scalable implementations, where we utilize the concept of marginal contribution (MC) as a tool to design learning rules of players’ utility and propose the marginal contribution-based best-response (MCBR) algorithm of low computational complexity for the distributed subchannel allocation problem. Finally, we validate and evaluate the proposed scheme through simulations for various performance metrics.
Rights: Shashi Shah, Somsak Kittipiyakul, Yuto Lim and Yasuo Tan, Sensors, 18(5), 2018, 1500. DOI:10.3390/s18051500. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
URI: http://hdl.handle.net/10119/15487
資料タイプ: publisher
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

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