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Decentralized Cross-Layer Optimization for Energy-Efficient Resource Allocation in HetNets
KTH, School of Information and Communication Technology (ICT). China Elect Technol Grp Corp, Res Inst 28, Nanjing, Jiangsu, Peoples R China.;Roy.
China Elect Technol Grp Corp, Res Inst 28, Nanjing, Jiangsu, Peoples R China..
KTH, School of Information and Communication Technology (ICT).
2018 (English)In: 2018 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY (CYBERC 2018), IEEE , 2018, p. 470-474Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we develop a joint physical and medium access control (MAC) layer optimization (JPMO) scheme based on game theory for energy-efficient resource allocation and interference management in heterogeneous networks (HetNets). In HetNets, cross-tier interference and co-tier interference significantly limit the network performance. Moreover, when each user only has its own channel state information and chooses its transmission policy independently without any coordination mechanism, it will result in the network collapse or waste of channel resources. To maximize the network efficiency, we develop the JPMO scheme through pricing mechanism from the perspective of game theory. Then we transform this scheme into a two-stage Stackelberg game, in which macrocell determines the transmission policy in MAC layer first, and then SCs perform EE power allocation in physical layer. Simulation results validate the effectiveness of the proposed scheme.

Place, publisher, year, edition, pages
IEEE , 2018. p. 470-474
Series
International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, ISSN 2475-7020
Keywords [en]
Cross-layer design, HetNets, Energy-efficient, Resource allocation
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-249831DOI: 10.1109/CyberC.2018.00091ISI: 000462960100079Scopus ID: 2-s2.0-85063163803ISBN: 978-1-7281-0974-9 (print)OAI: oai:DiVA.org:kth-249831DiVA, id: diva2:1306086
Conference
10th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), OCT 18-20, 2018, Zhengzhou Univ, Zhengzhou, PEOPLES R CHINA
Note

QC 20190423

Available from: 2019-04-23 Created: 2019-04-23 Last updated: 2019-04-23Bibliographically approved

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Miao, Guowang

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