About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Communications and Networking. 11th EAI International Conference, ChinaCom 2016, Chongqing, China, September 24-26, 2016, Proceedings, Part I

Research Article

Quality-of-Service Driven Resource Allocation via Stochastic Optimization for Wireless Multi-user Relay Networks

Download(Requires a free EAI acccount)
179 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-319-66625-9_31,
        author={Xiao Yin and Yanbo Ma and Qiang Liu and Wei Su},
        title={Quality-of-Service Driven Resource Allocation via Stochastic Optimization for Wireless Multi-user Relay Networks},
        proceedings={Communications and Networking. 11th EAI International Conference, ChinaCom 2016, Chongqing, China, September 24-26, 2016, Proceedings, Part I},
        proceedings_a={CHINACOM},
        year={2017},
        month={10},
        keywords={Resource allocation Wireless relay networks QoS Effective capacity Stochastic optimization Convex optimization},
        doi={10.1007/978-3-319-66625-9_31}
    }
    
  • Xiao Yin
    Yanbo Ma
    Qiang Liu
    Wei Su
    Year: 2017
    Quality-of-Service Driven Resource Allocation via Stochastic Optimization for Wireless Multi-user Relay Networks
    CHINACOM
    Springer
    DOI: 10.1007/978-3-319-66625-9_31
Xiao Yin,*, Yanbo Ma1,*, Qiang Liu1,*, Wei Su1,*
  • 1: Shandong University of Finance and Economics
*Contact email: yx_018@126.com, yanboma@sdufe.edu.cn, qiangliu@sdufe.edu.cn, suwei@sdufe.edu.cn

Abstract

This paper presents a power allocation algorithm for optimizing network resources while considering the delay provisioning in multi-user relay networks. Our aim is to minimize the average power consumed by the relay nodes while satisfying the minimum Qos requirement of all users. Employing the convex optimization theory, we derive an optimal power allocation policy in a quasi-closed form and give two rules of how to select the relay nodes. Furthermore, a stochastic power method is developed to learn the fading state of the channels and carry out the optimal strategy immediately. Moreover, numerical results are provided to demonstrate the performance of the proposed resource allocation policies.

Keywords
Resource allocation Wireless relay networks QoS Effective capacity Stochastic optimization Convex optimization
Published
2017-10-12
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-66625-9_31
Copyright © 2016–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL